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   "source": [
    "# SHIFT V2 Reflectance Data Guide"
   ]
  },
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   "source": [
    "This guide explains how to use the SHIFT V2 Reflectance data. The data is stored in an S3 bucket, \n",
    "which is mounted to your SMCE computing environment. You can access the data at the following location: `s3/dh-shift-curated/aviris/v2`\n",
    "\n",
    "The SHIFT V2 Reflectance data has transitioned from ENVI files to NetCDF format. \n",
    "I have written a few functions to facilitate interaction with this new format. Below are some examples of how to work with the data."
   ]
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   "source": [
    "import sys\n",
    "sys.path.append('s3/dh-shift-curated/aviris/utils')\n",
    "from shift_v2_utils import find_overlap_shift_v2, open_shift_v2_data"
   ]
  },
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   "id": "283e0ac5-3e98-4db0-bb77-1983b8d1d927",
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   "source": [
    "You can use the find overlap function to find flightlines that overlap a shapefile formated as a geopandas dataframe"
   ]
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   "source": [
    "import geopandas as gpd\n",
    "from shapely.geometry import Polygon\n",
    "\n",
    "polygon_1 = Polygon([\n",
    "    (-119.8853015 , 34.42277795),\n",
    "    (-119.86975941, 34.42312643),\n",
    "    (-119.86921817, 34.4066284 ),\n",
    "    (-119.88476322, 34.40623869),\n",
    "    (-119.8853015 , 34.42277795)\n",
    "])\n",
    "\n",
    "polygon_2 = Polygon([\n",
    "    (-119.8753015 , 34.41777795),\n",
    "    (-119.85975941, 34.41812643),\n",
    "    (-119.85921817, 34.4016284 ),\n",
    "    (-119.87476322, 34.40123869),\n",
    "    (-119.8753015 , 34.41777795)\n",
    "])\n",
    "\n",
    "# Create a GeoDataFrame\n",
    "gdf = gpd.GeoDataFrame({\n",
    "    'id': [1, 2],\n",
    "    'name': ['Polygon 1', 'Polygon 2'],\n",
    "    'geometry': [polygon_1, polygon_2]\n",
    "}, crs=\"EPSG:4326\")\n"
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    "The overlap function takes a GeoDataFrame as an argument. The GeoDataFrame must have its CRS set to EPSG:4326. You can filter the overlapping flightlines by date. \n",
    "The date argument can be provided as a single string or as a list of strings,"
   ]
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      "text/plain": [
       "   index              flightline      date  \\\n",
       "0    306  ang20220316t184402_001  20220316   \n",
       "1    307  ang20220316t184402_002  20220316   \n",
       "2   1418  ang20220914t170915_000  20220914   \n",
       "3   1426  ang20220914t171806_003  20220914   \n",
       "4   1428  ang20220914t172925_001  20220914   \n",
       "5   1429  ang20220914t172925_002  20220914   \n",
       "6    307  ang20220316t184402_002  20220316   \n",
       "7   1426  ang20220914t171806_003  20220914   \n",
       "8   1428  ang20220914t172925_001  20220914   \n",
       "9   1429  ang20220914t172925_002  20220914   \n",
       "\n",
       "                                                path  \\\n",
       "0  s3/dh-shift-curated/aviris/v2/L2a/20220316/ang...   \n",
       "1  s3/dh-shift-curated/aviris/v2/L2a/20220316/ang...   \n",
       "2  s3/dh-shift-curated/aviris/v2/L2a/20220914/ang...   \n",
       "3  s3/dh-shift-curated/aviris/v2/L2a/20220914/ang...   \n",
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       "5  s3/dh-shift-curated/aviris/v2/L2a/20220914/ang...   \n",
       "6  s3/dh-shift-curated/aviris/v2/L2a/20220316/ang...   \n",
       "7  s3/dh-shift-curated/aviris/v2/L2a/20220914/ang...   \n",
       "8  s3/dh-shift-curated/aviris/v2/L2a/20220914/ang...   \n",
       "9  s3/dh-shift-curated/aviris/v2/L2a/20220914/ang...   \n",
       "\n",
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       "\n",
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    "# all dates\n",
    "find_overlap_shift_v2(gdf)\n",
    "\n",
    "# single date filter\n",
    "find_overlap_shift_v2(gdf, dates='20220316')\n",
    "\n",
    "# multiple dates filter\n",
    "flightlines = find_overlap_shift_v2(gdf, dates=['20220316', '20220914'])\n",
    "flightlines"
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    "Using the output of the overlap function, you can use the path to open the dataset of interest. By default, the function will return the reflectance group. However, if you want to load additional groups, you can specify them by name: ['reflectance', 'water_vapor', 'aerosol_optical_thickness'].\n",
    "\n",
    "The mask_and_scale argument controls how Xarray handles \"NoData\" values. By default, mask_and_scale is set to False, meaning Xarray will use the coded NoData value of -9999. If you set mask_and_scale to True, Xarray will fill NoData values with np.nan instead."
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       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
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       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
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       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
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       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-preview {\n",
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       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                    (easting: 2259, northing: 991, wavelength: 425)\n",
       "Coordinates:\n",
       "  * easting                    (easting) float64 7.762e+05 ... 7.88e+05\n",
       "  * northing                   (northing) float64 3.816e+06 ... 3.811e+06\n",
       "    transverse_mercator        int64 0\n",
       "  * wavelength                 (wavelength) float32 377.2 382.2 ... 2.501e+03\n",
       "Data variables:\n",
       "    fwhm                       (wavelength) float32 dask.array&lt;chunksize=(425,), meta=np.ndarray&gt;\n",
       "    reflectance                (wavelength, northing, easting) float32 dask.array&lt;chunksize=(425, 991, 2259), meta=np.ndarray&gt;\n",
       "    water_vapor                (northing, easting) float32 dask.array&lt;chunksize=(991, 2259), meta=np.ndarray&gt;\n",
       "    aerosol_optical_thickness  (northing, easting) float32 dask.array&lt;chunksize=(991, 2259), meta=np.ndarray&gt;\n",
       "Attributes: (12/23)\n",
       "    Conventions:                       CF-1.6\n",
       "    date_created:                      2024-12-30T18:52:40Z\n",
       "    summary:                           The Airborne Visible / Infrared Imagin...\n",
       "    keywords:                          Imaging Spectroscopy, AVIRIS, AVIRIS-NG\n",
       "    sensor:                            Airborne Visible / Infrared Imaging Sp...\n",
       "    instrument:                        AVIRIS-NG\n",
       "    ...                                ...\n",
       "    ncei_template_version:             NCEI_NetCDF_Grid_Template_v2.0\n",
       "    title:                             AVIRIS-NG L2A Surface reflectance (fli...\n",
       "    processing_level:                  L2A\n",
       "    time_coverage_start:               2022-09-14T17:33:37Z\n",
       "    time_coverage_end:                 2022-09-14T17:33:37Z\n",
       "    product_version:                   0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6c11d2c4-0521-4bc2-90c6-c003bfc0b52f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6c11d2c4-0521-4bc2-90c6-c003bfc0b52f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>easting</span>: 2259</li><li><span class='xr-has-index'>northing</span>: 991</li><li><span class='xr-has-index'>wavelength</span>: 425</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5f429caa-e7c7-4f7f-826a-5ee767198eea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f429caa-e7c7-4f7f-826a-5ee767198eea' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>easting</span></div><div class='xr-var-dims'>(easting)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.762e+05 7.763e+05 ... 7.88e+05</div><input id='attrs-7783e50c-3c8f-4a73-8d29-ddd082132ea8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7783e50c-3c8f-4a73-8d29-ddd082132ea8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59b410ed-2d95-47a0-a5d4-8d6865bd07c2' class='xr-var-data-in' type='checkbox'><label for='data-59b410ed-2d95-47a0-a5d4-8d6865bd07c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>UTM easting coordinate for center of grid cell for orthocorrected pixel location</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>X coordinate of projection</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([776247.179458, 776252.379458, 776257.579458, ..., 787978.379458,\n",
       "       787983.579458, 787988.779458])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>northing</span></div><div class='xr-var-dims'>(northing)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.816e+06 3.816e+06 ... 3.811e+06</div><input id='attrs-4edf1ef1-52a7-4ad1-928b-67d83843a972' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4edf1ef1-52a7-4ad1-928b-67d83843a972' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-582af84a-fbcd-43f7-9846-28ffcf384fe7' class='xr-var-data-in' type='checkbox'><label for='data-582af84a-fbcd-43f7-9846-28ffcf384fe7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>UTM northing coordinate for center of grid cell for orthocorrected pixel location</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>Y coordinate of projection</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([3816042.428581, 3816037.228581, 3816032.028581, ..., 3810904.828581,\n",
       "       3810899.628581, 3810894.428581])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transverse_mercator</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-8291abc7-a125-4397-8eb3-f088e1e53314' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8291abc7-a125-4397-8eb3-f088e1e53314' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-338a94fa-8a6e-4820-8eff-31af2ad6d3b8' class='xr-var-data-in' type='checkbox'><label for='data-338a94fa-8a6e-4820-8eff-31af2ad6d3b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 10N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-123],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32610&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 10N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-123.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 10N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-123],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32610&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>377.2 382.2 ... 2.496e+03 2.501e+03</div><input id='attrs-0842fe98-2c8d-4696-8532-fea4b0c153b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0842fe98-2c8d-4696-8532-fea4b0c153b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7bc17d7-15cf-4dca-9227-7228f127c36a' class='xr-var-data-in' type='checkbox'><label for='data-b7bc17d7-15cf-4dca-9227-7228f127c36a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>radiation_wavelength</dd><dt><span>long_name :</span></dt><dd>Wavelength centers</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><pre>array([ 377.19565,  382.20566,  387.21564, ..., 2490.8557 , 2495.8657 ,\n",
       "       2500.8757 ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fd4c4a67-f2d1-40b2-881e-0e6c9d0e056e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd4c4a67-f2d1-40b2-881e-0e6c9d0e056e' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>fwhm</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(425,), meta=np.ndarray&gt;</div><input id='attrs-b781bc31-3e7f-4233-97cb-51550f14dcfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b781bc31-3e7f-4233-97cb-51550f14dcfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bdf60ba-c95a-4999-8900-f473faa3cc3b' class='xr-var-data-in' type='checkbox'><label for='data-0bdf60ba-c95a-4999-8900-f473faa3cc3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Full width at half maximum</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.66 kiB </td>\n",
       "                        <td> 1.66 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (425,) </td>\n",
       "                        <td> (425,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>reflectance</span></div><div class='xr-var-dims'>(wavelength, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(425, 991, 2259), meta=np.ndarray&gt;</div><input id='attrs-300cab57-290a-427d-90fd-7d8014237396' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-300cab57-290a-427d-90fd-7d8014237396' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a78359c1-e01e-4758-b1d3-34e545d491d0' class='xr-var-data-in' type='checkbox'><label for='data-a78359c1-e01e-4758-b1d3-34e545d491d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_QuantizeBitGroomNumberOfSignificantDigits :</span></dt><dd>5</dd><dt><span>_FillValue :</span></dt><dd>-9999.0</dd><dt><span>long_name :</span></dt><dd>Surface hemispherical directional reflectance factor</dd><dt><span>grid_mapping :</span></dt><dd>transverse_mercator</dd><dt><span>orthorectified :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 3.54 GiB </td>\n",
       "                        <td> 3.54 GiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (425, 991, 2259) </td>\n",
       "                        <td> (425, 991, 2259) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_vapor</span></div><div class='xr-var-dims'>(northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(991, 2259), meta=np.ndarray&gt;</div><input id='attrs-be06a6d8-787b-4d80-a3d1-7798b97f4f01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be06a6d8-787b-4d80-a3d1-7798b97f4f01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cabf443-9d5c-4c97-9fff-aca0e0d52151' class='xr-var-data-in' type='checkbox'><label for='data-4cabf443-9d5c-4c97-9fff-aca0e0d52151' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>-9999.0</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>cm</dd><dt><span>grid_mapping :</span></dt><dd>transverse_mercator</dd><dt><span>orthorectified :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.54 MiB </td>\n",
       "                        <td> 8.54 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (991, 2259) </td>\n",
       "                        <td> (991, 2259) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aerosol_optical_thickness</span></div><div class='xr-var-dims'>(northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(991, 2259), meta=np.ndarray&gt;</div><input id='attrs-674a8d93-6be1-4892-b46c-684ee546cbeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-674a8d93-6be1-4892-b46c-684ee546cbeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-639bba25-d1d1-4c98-9066-044cee877ba5' class='xr-var-data-in' type='checkbox'><label for='data-639bba25-d1d1-4c98-9066-044cee877ba5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>-9999.0</dd><dt><span>standard_name :</span></dt><dd>optical_thickness_of_atmosphere_layer_due_to_ambient_aerosol_particles</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>transverse_mercator</dd><dt><span>orthorectified :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.54 MiB </td>\n",
       "                        <td> 8.54 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (991, 2259) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f821f7fd-5b47-47e3-896c-9f58e0efba71' class='xr-section-summary-in' type='checkbox'  ><label for='section-f821f7fd-5b47-47e3-896c-9f58e0efba71' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>easting</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cd00ddda-24fd-4023-9fd7-cf4b523c069e' class='xr-index-data-in' type='checkbox'/><label for='index-cd00ddda-24fd-4023-9fd7-cf4b523c069e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 776247.179457851, 776252.3794578509,  776257.579457851,\n",
       "               776262.779457851,  776267.979457851,  776273.179457851,\n",
       "              776278.3794578509,  776283.579457851,  776288.779457851,\n",
       "               776293.979457851,\n",
       "              ...\n",
       "               787941.979457851,  787947.179457851, 787952.3794578509,\n",
       "               787957.579457851,  787962.779457851,  787967.979457851,\n",
       "               787973.179457851, 787978.3794578509,  787983.579457851,\n",
       "               787988.779457851],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;easting&#x27;, length=2259))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>northing</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eb41c296-c95b-4785-af88-9e7c158fc026' class='xr-index-data-in' type='checkbox'/><label for='index-eb41c296-c95b-4785-af88-9e7c158fc026' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([3816042.42858074, 3816037.22858074, 3816032.02858074,\n",
       "              3816026.82858074, 3816021.62858074, 3816016.42858074,\n",
       "              3816011.22858074, 3816006.02858074, 3816000.82858074,\n",
       "              3815995.62858074,\n",
       "              ...\n",
       "              3810941.22858074, 3810936.02858074, 3810930.82858074,\n",
       "              3810925.62858074, 3810920.42858074, 3810915.22858074,\n",
       "              3810910.02858074, 3810904.82858074, 3810899.62858074,\n",
       "              3810894.42858074],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;northing&#x27;, length=991))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-51297d90-f4cf-49d5-a206-df479c4209a6' class='xr-index-data-in' type='checkbox'/><label for='index-51297d90-f4cf-49d5-a206-df479c4209a6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 377.1956481933594,  382.2056579589844, 387.21563720703125,\n",
       "              392.22564697265625, 397.22564697265625, 402.23565673828125,\n",
       "               407.2456359863281,  412.2556457519531,  417.2656555175781,\n",
       "                422.275634765625,\n",
       "              ...\n",
       "               2455.795654296875,    2460.8056640625,  2465.815673828125,\n",
       "               2470.815673828125,   2475.82568359375,  2480.835693359375,\n",
       "                  2485.845703125,  2490.855712890625,   2495.86572265625,\n",
       "               2500.875732421875],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;wavelength&#x27;, length=425))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6507e835-7130-4c9b-9565-962134a1a3fe' class='xr-section-summary-in' type='checkbox'  ><label for='section-6507e835-7130-4c9b-9565-962134a1a3fe' class='xr-section-summary' >Attributes: <span>(23)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>date_created :</span></dt><dd>2024-12-30T18:52:40Z</dd><dt><span>summary :</span></dt><dd>The Airborne Visible / Infrared Imaging Spectrometer - Next Generation (AVIRIS-NG) is part of NASA’s Airborne Science Program (ASP) and the Jet Propulsion Laboratory’s (JPL) Earth Science Airborne Program. AVIRIS-NG is the successor to AVIRIS-Classic and provides high signal-to-noise ratio imaging spectroscopy measurements in 425 contiguous spectral channels with wavelengths in the solar reflected spectral range (380-2510 nm).</dd><dt><span>keywords :</span></dt><dd>Imaging Spectroscopy, AVIRIS, AVIRIS-NG</dd><dt><span>sensor :</span></dt><dd>Airborne Visible / Infrared Imaging Spectrometer Next Generation</dd><dt><span>instrument :</span></dt><dd>AVIRIS-NG</dd><dt><span>platform :</span></dt><dd>Beechcraft Super King Air 200</dd><dt><span>institution :</span></dt><dd>NASA Jet Propulsion Laboratory/California Institute of Technology</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>creator_name :</span></dt><dd>Jet Propulsion Laboratory/California Institute of Technology</dd><dt><span>creator_url :</span></dt><dd>aviris.jpl.nasa.gov</dd><dt><span>publisher_type :</span></dt><dd>institution</dd><dt><span>publisher_institution :</span></dt><dd>Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC)</dd><dt><span>identifier_product_doi_authority :</span></dt><dd>https://doi.org</dd><dt><span>flight_line :</span></dt><dd>ang20220914t172925</dd><dt><span>scene :</span></dt><dd>002</dd><dt><span>software_build_version :</span></dt><dd>main</dd><dt><span>ncei_template_version :</span></dt><dd>NCEI_NetCDF_Grid_Template_v2.0</dd><dt><span>title :</span></dt><dd>AVIRIS-NG L2A Surface reflectance (flight line: ang20220914t172925, scene: 002)</dd><dt><span>processing_level :</span></dt><dd>L2A</dd><dt><span>time_coverage_start :</span></dt><dd>2022-09-14T17:33:37Z</dd><dt><span>time_coverage_end :</span></dt><dd>2022-09-14T17:33:37Z</dd><dt><span>product_version :</span></dt><dd>0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                    (easting: 2259, northing: 991, wavelength: 425)\n",
       "Coordinates:\n",
       "  * easting                    (easting) float64 7.762e+05 ... 7.88e+05\n",
       "  * northing                   (northing) float64 3.816e+06 ... 3.811e+06\n",
       "    transverse_mercator        int64 0\n",
       "  * wavelength                 (wavelength) float32 377.2 382.2 ... 2.501e+03\n",
       "Data variables:\n",
       "    fwhm                       (wavelength) float32 dask.array<chunksize=(425,), meta=np.ndarray>\n",
       "    reflectance                (wavelength, northing, easting) float32 dask.array<chunksize=(425, 991, 2259), meta=np.ndarray>\n",
       "    water_vapor                (northing, easting) float32 dask.array<chunksize=(991, 2259), meta=np.ndarray>\n",
       "    aerosol_optical_thickness  (northing, easting) float32 dask.array<chunksize=(991, 2259), meta=np.ndarray>\n",
       "Attributes: (12/23)\n",
       "    Conventions:                       CF-1.6\n",
       "    date_created:                      2024-12-30T18:52:40Z\n",
       "    summary:                           The Airborne Visible / Infrared Imagin...\n",
       "    keywords:                          Imaging Spectroscopy, AVIRIS, AVIRIS-NG\n",
       "    sensor:                            Airborne Visible / Infrared Imaging Sp...\n",
       "    instrument:                        AVIRIS-NG\n",
       "    ...                                ...\n",
       "    ncei_template_version:             NCEI_NetCDF_Grid_Template_v2.0\n",
       "    title:                             AVIRIS-NG L2A Surface reflectance (fli...\n",
       "    processing_level:                  L2A\n",
       "    time_coverage_start:               2022-09-14T17:33:37Z\n",
       "    time_coverage_end:                 2022-09-14T17:33:37Z\n",
       "    product_version:                   0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path = flightlines.iloc[5].path\n",
    "ds = open_shift_v2_data(path)\n",
    "ds = open_shift_v2_data(path, groups=['reflectance', 'water_vapor', 'aerosol_optical_thickness'], mask_and_scale=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "The data is lazily loaded using Dask, meaning it is not fully loaded into memory until necessary.\n",
    "You can perform operations, such as clipping the data, using tools like rioxarray without actually loading the data into memory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "257c525c-a680-446e-8007-8445baea5da1",
   "metadata": {
    "tags": []
   },
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                    (wavelength: 425, easting: 334, northing: 470)\n",
       "Coordinates:\n",
       "    transverse_mercator        int64 0\n",
       "  * wavelength                 (wavelength) float32 377.2 382.2 ... 2.501e+03\n",
       "  * easting                    (easting) float64 7.863e+05 ... 7.88e+05\n",
       "  * northing                   (northing) float64 3.814e+06 ... 3.811e+06\n",
       "Data variables:\n",
       "    fwhm                       (wavelength) float32 dask.array&lt;chunksize=(425,), meta=np.ndarray&gt;\n",
       "    reflectance                (wavelength, northing, easting) float32 dask.array&lt;chunksize=(425, 470, 334), meta=np.ndarray&gt;\n",
       "    water_vapor                (northing, easting) float32 dask.array&lt;chunksize=(470, 334), meta=np.ndarray&gt;\n",
       "    aerosol_optical_thickness  (northing, easting) float32 dask.array&lt;chunksize=(470, 334), meta=np.ndarray&gt;\n",
       "Attributes: (12/23)\n",
       "    Conventions:                       CF-1.6\n",
       "    date_created:                      2024-12-30T18:52:40Z\n",
       "    summary:                           The Airborne Visible / Infrared Imagin...\n",
       "    keywords:                          Imaging Spectroscopy, AVIRIS, AVIRIS-NG\n",
       "    sensor:                            Airborne Visible / Infrared Imaging Sp...\n",
       "    instrument:                        AVIRIS-NG\n",
       "    ...                                ...\n",
       "    ncei_template_version:             NCEI_NetCDF_Grid_Template_v2.0\n",
       "    title:                             AVIRIS-NG L2A Surface reflectance (fli...\n",
       "    processing_level:                  L2A\n",
       "    time_coverage_start:               2022-09-14T17:33:37Z\n",
       "    time_coverage_end:                 2022-09-14T17:33:37Z\n",
       "    product_version:                   0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b438990f-c84f-4d9f-8592-3b997bf059e8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b438990f-c84f-4d9f-8592-3b997bf059e8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>wavelength</span>: 425</li><li><span class='xr-has-index'>easting</span>: 334</li><li><span class='xr-has-index'>northing</span>: 470</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ece1f7a3-68c2-438f-96f9-32b1fe95dde1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ece1f7a3-68c2-438f-96f9-32b1fe95dde1' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>transverse_mercator</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-68e38c45-55b0-4fcd-95e2-1341d8050753' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68e38c45-55b0-4fcd-95e2-1341d8050753' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-079832b3-7856-4668-b220-fb8500c0eb75' class='xr-var-data-in' type='checkbox'><label for='data-079832b3-7856-4668-b220-fb8500c0eb75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 10N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-123],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32610&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 10N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-123.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 10N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-123],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32610&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>377.2 382.2 ... 2.496e+03 2.501e+03</div><input id='attrs-b674fb38-96ef-4dd7-9274-6ad3f52a61ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b674fb38-96ef-4dd7-9274-6ad3f52a61ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c717287-ddbf-4856-810f-e803b11957c0' class='xr-var-data-in' type='checkbox'><label for='data-5c717287-ddbf-4856-810f-e803b11957c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>radiation_wavelength</dd><dt><span>long_name :</span></dt><dd>Wavelength centers</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><pre>array([ 377.19565,  382.20566,  387.21564, ..., 2490.8557 , 2495.8657 ,\n",
       "       2500.8757 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>easting</span></div><div class='xr-var-dims'>(easting)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.863e+05 7.863e+05 ... 7.88e+05</div><input id='attrs-1b40e3d3-7191-404c-917e-4817ad753ae5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b40e3d3-7191-404c-917e-4817ad753ae5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-526be7bf-5e63-4e31-a68e-35aafe8ada9b' class='xr-var-data-in' type='checkbox'><label for='data-526be7bf-5e63-4e31-a68e-35aafe8ada9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>UTM easting coordinate for center of grid cell for orthocorrected pixel location</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>units :</span></dt><dd>metre</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([786257.179458, 786262.379458, 786267.579458, ..., 787978.379458,\n",
       "       787983.579458, 787988.779458])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>northing</span></div><div class='xr-var-dims'>(northing)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.814e+06 3.814e+06 ... 3.811e+06</div><input id='attrs-5e5929f9-64f7-4b88-ad7a-7b0257b608ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e5929f9-64f7-4b88-ad7a-7b0257b608ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f8278e0-0e92-4613-97e3-d899ec6d059e' class='xr-var-data-in' type='checkbox'><label for='data-9f8278e0-0e92-4613-97e3-d899ec6d059e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>UTM northing coordinate for center of grid cell for orthocorrected pixel location</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>units :</span></dt><dd>metre</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([3813515.228581, 3813510.028581, 3813504.828581, ..., 3811086.828581,\n",
       "       3811081.628581, 3811076.428581])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6738a68a-6b64-4bea-ba27-47ec4b0cc5f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6738a68a-6b64-4bea-ba27-47ec4b0cc5f1' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>fwhm</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(425,), meta=np.ndarray&gt;</div><input id='attrs-3d6a134c-5fd0-446a-bebc-88a836063993' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d6a134c-5fd0-446a-bebc-88a836063993' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8d1c958-bd05-4a70-bc77-1831e22bc943' class='xr-var-data-in' type='checkbox'><label for='data-b8d1c958-bd05-4a70-bc77-1831e22bc943' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Full width at half maximum</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.66 kiB </td>\n",
       "                        <td> 1.66 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (425,) </td>\n",
       "                        <td> (425,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>reflectance</span></div><div class='xr-var-dims'>(wavelength, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(425, 470, 334), meta=np.ndarray&gt;</div><input id='attrs-feae9ede-120f-484a-af57-60d78362402c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-feae9ede-120f-484a-af57-60d78362402c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4397863a-8a1a-4545-94cf-007bbcb5e4ac' class='xr-var-data-in' type='checkbox'><label for='data-4397863a-8a1a-4545-94cf-007bbcb5e4ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_QuantizeBitGroomNumberOfSignificantDigits :</span></dt><dd>5</dd><dt><span>long_name :</span></dt><dd>Surface hemispherical directional reflectance factor</dd><dt><span>grid_mapping :</span></dt><dd>transverse_mercator</dd><dt><span>orthorectified :</span></dt><dd>True</dd><dt><span>_FillValue :</span></dt><dd>-9999.0</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 254.50 MiB </td>\n",
       "                        <td> 254.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (425, 470, 334) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 8 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_vapor</span></div><div class='xr-var-dims'>(northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(470, 334), meta=np.ndarray&gt;</div><input id='attrs-b4104fa3-0a92-4058-876e-d1e818c19874' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4104fa3-0a92-4058-876e-d1e818c19874' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5162e277-c35b-49a1-92df-6aa2f1bbb597' class='xr-var-data-in' type='checkbox'><label for='data-5162e277-c35b-49a1-92df-6aa2f1bbb597' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>cm</dd><dt><span>grid_mapping :</span></dt><dd>transverse_mercator</dd><dt><span>orthorectified :</span></dt><dd>True</dd><dt><span>_FillValue :</span></dt><dd>-9999.0</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 613.20 kiB </td>\n",
       "                        <td> 613.20 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (470, 334) </td>\n",
       "                        <td> (470, 334) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 8 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "              392.22564697265625, 397.22564697265625, 402.23565673828125,\n",
       "               407.2456359863281,  412.2556457519531,  417.2656555175781,\n",
       "                422.275634765625,\n",
       "              ...\n",
       "               2455.795654296875,    2460.8056640625,  2465.815673828125,\n",
       "               2470.815673828125,   2475.82568359375,  2480.835693359375,\n",
       "                  2485.845703125,  2490.855712890625,   2495.86572265625,\n",
       "               2500.875732421875],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;wavelength&#x27;, length=425))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>easting</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-317e115e-39d2-40a8-8c4c-07fc3cb66215' class='xr-index-data-in' type='checkbox'/><label for='index-317e115e-39d2-40a8-8c4c-07fc3cb66215' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 786257.179457851, 786262.3794578509,  786267.579457851,\n",
       "               786272.779457851,  786277.979457851,  786283.179457851,\n",
       "              786288.3794578509,  786293.579457851,  786298.779457851,\n",
       "               786303.979457851,\n",
       "              ...\n",
       "               787941.979457851,  787947.179457851, 787952.3794578509,\n",
       "               787957.579457851,  787962.779457851,  787967.979457851,\n",
       "               787973.179457851, 787978.3794578509,  787983.579457851,\n",
       "               787988.779457851],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;easting&#x27;, length=334))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>northing</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-989a03ae-402a-4b3c-9332-7fa24e5879de' class='xr-index-data-in' type='checkbox'/><label for='index-989a03ae-402a-4b3c-9332-7fa24e5879de' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([3813515.22858074, 3813510.02858074, 3813504.82858074,\n",
       "              3813499.62858074, 3813494.42858074, 3813489.22858074,\n",
       "              3813484.02858074, 3813478.82858074, 3813473.62858074,\n",
       "              3813468.42858074,\n",
       "              ...\n",
       "              3811123.22858074, 3811118.02858074, 3811112.82858074,\n",
       "              3811107.62858074, 3811102.42858074, 3811097.22858074,\n",
       "              3811092.02858074, 3811086.82858074, 3811081.62858074,\n",
       "              3811076.42858074],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;northing&#x27;, length=470))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d5edf86e-e332-44c2-85ea-34296302abf4' class='xr-section-summary-in' type='checkbox'  ><label for='section-d5edf86e-e332-44c2-85ea-34296302abf4' class='xr-section-summary' >Attributes: <span>(23)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>date_created :</span></dt><dd>2024-12-30T18:52:40Z</dd><dt><span>summary :</span></dt><dd>The Airborne Visible / Infrared Imaging Spectrometer - Next Generation (AVIRIS-NG) is part of NASA’s Airborne Science Program (ASP) and the Jet Propulsion Laboratory’s (JPL) Earth Science Airborne Program. AVIRIS-NG is the successor to AVIRIS-Classic and provides high signal-to-noise ratio imaging spectroscopy measurements in 425 contiguous spectral channels with wavelengths in the solar reflected spectral range (380-2510 nm).</dd><dt><span>keywords :</span></dt><dd>Imaging Spectroscopy, AVIRIS, AVIRIS-NG</dd><dt><span>sensor :</span></dt><dd>Airborne Visible / Infrared Imaging Spectrometer Next Generation</dd><dt><span>instrument :</span></dt><dd>AVIRIS-NG</dd><dt><span>platform :</span></dt><dd>Beechcraft Super King Air 200</dd><dt><span>institution :</span></dt><dd>NASA Jet Propulsion Laboratory/California Institute of Technology</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>creator_name :</span></dt><dd>Jet Propulsion Laboratory/California Institute of Technology</dd><dt><span>creator_url :</span></dt><dd>aviris.jpl.nasa.gov</dd><dt><span>publisher_type :</span></dt><dd>institution</dd><dt><span>publisher_institution :</span></dt><dd>Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC)</dd><dt><span>identifier_product_doi_authority :</span></dt><dd>https://doi.org</dd><dt><span>flight_line :</span></dt><dd>ang20220914t172925</dd><dt><span>scene :</span></dt><dd>002</dd><dt><span>software_build_version :</span></dt><dd>main</dd><dt><span>ncei_template_version :</span></dt><dd>NCEI_NetCDF_Grid_Template_v2.0</dd><dt><span>title :</span></dt><dd>AVIRIS-NG L2A Surface reflectance (flight line: ang20220914t172925, scene: 002)</dd><dt><span>processing_level :</span></dt><dd>L2A</dd><dt><span>time_coverage_start :</span></dt><dd>2022-09-14T17:33:37Z</dd><dt><span>time_coverage_end :</span></dt><dd>2022-09-14T17:33:37Z</dd><dt><span>product_version :</span></dt><dd>0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                    (wavelength: 425, easting: 334, northing: 470)\n",
       "Coordinates:\n",
       "    transverse_mercator        int64 0\n",
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       "  * easting                    (easting) float64 7.863e+05 ... 7.88e+05\n",
       "  * northing                   (northing) float64 3.814e+06 ... 3.811e+06\n",
       "Data variables:\n",
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       "    reflectance                (wavelength, northing, easting) float32 dask.array<chunksize=(425, 470, 334), meta=np.ndarray>\n",
       "    water_vapor                (northing, easting) float32 dask.array<chunksize=(470, 334), meta=np.ndarray>\n",
       "    aerosol_optical_thickness  (northing, easting) float32 dask.array<chunksize=(470, 334), meta=np.ndarray>\n",
       "Attributes: (12/23)\n",
       "    Conventions:                       CF-1.6\n",
       "    date_created:                      2024-12-30T18:52:40Z\n",
       "    summary:                           The Airborne Visible / Infrared Imagin...\n",
       "    keywords:                          Imaging Spectroscopy, AVIRIS, AVIRIS-NG\n",
       "    sensor:                            Airborne Visible / Infrared Imaging Sp...\n",
       "    instrument:                        AVIRIS-NG\n",
       "    ...                                ...\n",
       "    ncei_template_version:             NCEI_NetCDF_Grid_Template_v2.0\n",
       "    title:                             AVIRIS-NG L2A Surface reflectance (fli...\n",
       "    processing_level:                  L2A\n",
       "    time_coverage_start:               2022-09-14T17:33:37Z\n",
       "    time_coverage_end:                 2022-09-14T17:33:37Z\n",
       "    product_version:                   0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clipped = ds.rio.clip(gdf.to_crs(ds.rio.crs).geometry)\n",
    "clipped"
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  {
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   "id": "e6315d86-4ab2-4473-ab5f-ab73d83fe7a8",
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   "source": [
    "Once you have clipped the data you can load it into memory using compute. Loading the data into memory might take some time. Once the data has been accessed once following access attempts should be much quicker."
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  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8714f943-9885-452e-bc2d-b4392c907390",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 14.6 s, sys: 1.72 s, total: 16.3 s\n",
      "Wall time: 16.4 s\n"
     ]
    },
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       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;reflectance&#x27; (wavelength: 425, northing: 470, easting: 334)&gt;\n",
       "array([[[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "...\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]]],\n",
       "      dtype=float32)\n",
       "Coordinates:\n",
       "    transverse_mercator  int64 0\n",
       "  * wavelength           (wavelength) float32 377.2 382.2 ... 2.501e+03\n",
       "  * easting              (easting) float64 7.863e+05 7.863e+05 ... 7.88e+05\n",
       "  * northing             (northing) float64 3.814e+06 3.814e+06 ... 3.811e+06\n",
       "Attributes:\n",
       "    _QuantizeBitGroomNumberOfSignificantDigits:  5\n",
       "    long_name:                                   Surface hemispherical direct...\n",
       "    grid_mapping:                                transverse_mercator\n",
       "    orthorectified:                              True\n",
       "    _FillValue:                                  -9999.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'reflectance'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>wavelength</span>: 425</li><li><span class='xr-has-index'>northing</span>: 470</li><li><span class='xr-has-index'>easting</span>: 334</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ee0395c0-d5e4-422a-ac99-b3dd7584f555' class='xr-array-in' type='checkbox' checked><label for='section-ee0395c0-d5e4-422a-ac99-b3dd7584f555' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-9.999e+03 -9.999e+03 -9.999e+03 ... -9.999e+03 -9.999e+03 -9.999e+03</span></div><div class='xr-array-data'><pre>array([[[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "...\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]]],\n",
       "      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6765497a-b9bc-453b-a8a6-5cb6f11a0e38' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6765497a-b9bc-453b-a8a6-5cb6f11a0e38' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>transverse_mercator</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-57662b2e-5d74-4d75-9a7b-dc87ad835a4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57662b2e-5d74-4d75-9a7b-dc87ad835a4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6be19838-201f-4493-bc43-d7dafa03e97e' class='xr-var-data-in' type='checkbox'><label for='data-6be19838-201f-4493-bc43-d7dafa03e97e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 10N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-123],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32610&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 10N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-123.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 10N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-123],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32610&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wavelength</span></div><div class='xr-var-dims'>(wavelength)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>377.2 382.2 ... 2.496e+03 2.501e+03</div><input id='attrs-063fee15-8d38-43d0-bc95-c1504115547d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-063fee15-8d38-43d0-bc95-c1504115547d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8f113e1-cdfb-4f00-9ec4-0d3a41b63be1' class='xr-var-data-in' type='checkbox'><label for='data-c8f113e1-cdfb-4f00-9ec4-0d3a41b63be1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>radiation_wavelength</dd><dt><span>long_name :</span></dt><dd>Wavelength centers</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><pre>array([ 377.19565,  382.20566,  387.21564, ..., 2490.8557 , 2495.8657 ,\n",
       "       2500.8757 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>easting</span></div><div class='xr-var-dims'>(easting)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.863e+05 7.863e+05 ... 7.88e+05</div><input id='attrs-e4680080-cab9-4906-9248-e0dfed931a47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4680080-cab9-4906-9248-e0dfed931a47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fa9cdf4-232d-4db5-ba16-cd2b32505ff9' class='xr-var-data-in' type='checkbox'><label for='data-3fa9cdf4-232d-4db5-ba16-cd2b32505ff9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>UTM easting coordinate for center of grid cell for orthocorrected pixel location</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>units :</span></dt><dd>metre</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([786257.179458, 786262.379458, 786267.579458, ..., 787978.379458,\n",
       "       787983.579458, 787988.779458])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>northing</span></div><div class='xr-var-dims'>(northing)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.814e+06 3.814e+06 ... 3.811e+06</div><input id='attrs-e3336e3f-e486-4a29-b417-b46362ce81bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3336e3f-e486-4a29-b417-b46362ce81bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29c7ee8a-3f2d-4a4a-be4a-d1a1fcbd66b7' class='xr-var-data-in' type='checkbox'><label for='data-29c7ee8a-3f2d-4a4a-be4a-d1a1fcbd66b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>UTM northing coordinate for center of grid cell for orthocorrected pixel location</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>units :</span></dt><dd>metre</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([3813515.228581, 3813510.028581, 3813504.828581, ..., 3811086.828581,\n",
       "       3811081.628581, 3811076.428581])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc12c918-4892-4d8e-9166-b89dcb364db5' class='xr-section-summary-in' type='checkbox'  ><label for='section-cc12c918-4892-4d8e-9166-b89dcb364db5' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>wavelength</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3a5f1b1b-b6ad-46ab-b4af-4279a80b18bf' class='xr-index-data-in' type='checkbox'/><label for='index-3a5f1b1b-b6ad-46ab-b4af-4279a80b18bf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 377.1956481933594,  382.2056579589844, 387.21563720703125,\n",
       "              392.22564697265625, 397.22564697265625, 402.23565673828125,\n",
       "               407.2456359863281,  412.2556457519531,  417.2656555175781,\n",
       "                422.275634765625,\n",
       "              ...\n",
       "               2455.795654296875,    2460.8056640625,  2465.815673828125,\n",
       "               2470.815673828125,   2475.82568359375,  2480.835693359375,\n",
       "                  2485.845703125,  2490.855712890625,   2495.86572265625,\n",
       "               2500.875732421875],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;wavelength&#x27;, length=425))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>easting</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-19a6ceac-1612-4ef8-82ce-483103c8285e' class='xr-index-data-in' type='checkbox'/><label for='index-19a6ceac-1612-4ef8-82ce-483103c8285e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 786257.179457851, 786262.3794578509,  786267.579457851,\n",
       "               786272.779457851,  786277.979457851,  786283.179457851,\n",
       "              786288.3794578509,  786293.579457851,  786298.779457851,\n",
       "               786303.979457851,\n",
       "              ...\n",
       "               787941.979457851,  787947.179457851, 787952.3794578509,\n",
       "               787957.579457851,  787962.779457851,  787967.979457851,\n",
       "               787973.179457851, 787978.3794578509,  787983.579457851,\n",
       "               787988.779457851],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;easting&#x27;, length=334))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>northing</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9845efb3-e7a4-481e-87a5-5c325428406f' class='xr-index-data-in' type='checkbox'/><label for='index-9845efb3-e7a4-481e-87a5-5c325428406f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([3813515.22858074, 3813510.02858074, 3813504.82858074,\n",
       "              3813499.62858074, 3813494.42858074, 3813489.22858074,\n",
       "              3813484.02858074, 3813478.82858074, 3813473.62858074,\n",
       "              3813468.42858074,\n",
       "              ...\n",
       "              3811123.22858074, 3811118.02858074, 3811112.82858074,\n",
       "              3811107.62858074, 3811102.42858074, 3811097.22858074,\n",
       "              3811092.02858074, 3811086.82858074, 3811081.62858074,\n",
       "              3811076.42858074],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;northing&#x27;, length=470))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-14934498-d7af-4713-a881-165d700128b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-14934498-d7af-4713-a881-165d700128b1' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_QuantizeBitGroomNumberOfSignificantDigits :</span></dt><dd>5</dd><dt><span>long_name :</span></dt><dd>Surface hemispherical directional reflectance factor</dd><dt><span>grid_mapping :</span></dt><dd>transverse_mercator</dd><dt><span>orthorectified :</span></dt><dd>True</dd><dt><span>_FillValue :</span></dt><dd>-9999.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'reflectance' (wavelength: 425, northing: 470, easting: 334)>\n",
       "array([[[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "...\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]],\n",
       "\n",
       "       [[-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        ...,\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.],\n",
       "        [-9999., -9999., -9999., ..., -9999., -9999., -9999.]]],\n",
       "      dtype=float32)\n",
       "Coordinates:\n",
       "    transverse_mercator  int64 0\n",
       "  * wavelength           (wavelength) float32 377.2 382.2 ... 2.501e+03\n",
       "  * easting              (easting) float64 7.863e+05 7.863e+05 ... 7.88e+05\n",
       "  * northing             (northing) float64 3.814e+06 3.814e+06 ... 3.811e+06\n",
       "Attributes:\n",
       "    _QuantizeBitGroomNumberOfSignificantDigits:  5\n",
       "    long_name:                                   Surface hemispherical direct...\n",
       "    grid_mapping:                                transverse_mercator\n",
       "    orthorectified:                              True\n",
       "    _FillValue:                                  -9999.0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "clipped.reflectance.compute()"
   ]
  }
 ],
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