intro-depal-spc-internal.ipynb

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    "<div><img src=\"https://github.com/digitalearthpacific/DigitalEarthPacific/blob/main/notebooks/DEP_LCAST/reference_materials/images/1B/1.a.png?raw=true\" width=\"800\"/></div>\n"
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    "# Activity Notebook Introduction to Digital Earth Pacific Abstraction Libary (DEPAL)\n",
    "Intended for users of DEP. Completion of **'Activity Notebook Intro to Python'** as a prerequisite is recommended although not required. The notebook provides the foundations of Python more broadly. This **'Activity Notebook Intro to depal'** includes the introduction to [Digital Earth Pacific (DEP)](https://github.com/digitalearthpacific/DigitalEarthPacific/tree/main). We will again be working with Python within a Jupyter Notebook environment as the IDE. \n",
    "\n",
    "For questions regarding this notebook contact the author via https://github.com/nicholasmetherall"
   ]
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   "source": [
    "### Digital Earth Pacific (DEP) Notebook"
   ]
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   "source": [
    "Follow the example of code below to set up your Digital Earth Pacific (DEP) environment."
   ]
  },
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    "import sys\n",
    "sys.path.append('../../')\n",
    "import depal_mh as dep\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import geopandas as gpd\n",
    "import numpy as np\n",
    "import odc.geo.xr  # noqa: F401\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "from odc.stac import load\n",
    "from pystac_client import Client\n",
    "from shapely import geometry"
   ]
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   "source": [
    "<font color='blue'>1.1. Listing the countries within DEP and then government admin boundary datasets in depal \n",
    "\n",
    "Your code goes in the cells below. Add more cells here by clicking on the + button above.\n",
    "\n",
    "First let's list out the countries covered within Digital Earth Pacific (DEP):  \n",
    "\n",
    "> `dep.list_countries()`\n",
    "\n",
    "- Where *dep.* is the module   \n",
    "- *list_countries()* is the function that converts requests or simple operations into an object. \n",
    "\n",
    "By running this block of code you can process data. This particular function returns a list of countries covered within the DEP module.   \n",
    "\n",
    "> Input your code for 1.1 in this cell eg. `dep.list_countries()`"
   ]
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    "Now let's learn what boundary type are available for your chosen country... \n",
    "\n",
    "> Input your code for 1.1 in this cell eg. `dep.list_boundary_types('insert country')`\n",
    ">\n",
    "\n"
   ]
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    "Now let's learn what admin boundaries are available for your country of interest... \n",
    "\n",
    "Below is an example for the Marshall Islands - you may be required to enter different arguements depending on the results you got for 1.1 on the different boundary types available. \n",
    "\n",
    "> eg. `dep.list_country_boundary('Marshall' Islands', 'Atoll')`\n",
    ">\n",
    "We encourage you to choose a different country to learn more rather than just using the example code here: \n"
   ]
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    "<font color='blue'>1.2. Getting a single admin boundary dataset and configuring this as your area of interest\n",
    "\n",
    "By running this block of code you can process data. This particular function returns a list of boundaries of your chosen country within the DEP module. Note: these boundaries are based upon official Government data. The list you have generated above is an example of how to call on default values stored within a library. \n",
    "\n",
    "Now that you have the list of datasets, you can try to access one of these datasets by calling it. This will load the data and configure it to be your area of interest for further analysis in depal. In order to do this, we will next seek to use: \n",
    "    \n",
    "> `dep.get_country_admin_boundary('Marshall Islands', 'Atoll', 'insert Atoll name')` \n",
    "\n",
    "First type the module 'dep.' then type the function 'get_country_admin_boundary' then within the brackets you can search for a particular subset of the total list above. You can choose one from the list above and don't forgot to place it between quotations: e.g. \"Koro\".\n",
    "\n",
    "> Input your code for 1.2 in this cell and input the name of a your area of interest from the list above.\n",
    ">\n",
    "Note: this will generate a long list of coordinates that map out the boundary. "
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    "<font color='blue'>1.3. Define this dataset within a new variable\n",
    "\n",
    "To make it easier to use this dataset going forward through the activity, you can define it within a variable. \n",
    "    \n",
    "To do this, save the code from 1.2 into a variable name. The variable name can be the name of the island you have chosen: e.g. Majuro. \n",
    "    \n",
    "Then after typing the island you have chosen input \" = \" and then make this equal the code you have entered in 1.2.\n",
    "\n",
    "So in this example, the code input would be:\n",
    "    \n",
    "> `Majuro = dep.get_country_admin_boundary('Marshall Islands', 'Atoll', 'Majuro')`\n",
    "    \n",
    "This new variable allows you to store the results from 1.2 and easily use them going forward. \n",
    "    \n",
    "> Input your code for 1.3 in this cell eg. `Majuro = dep.get_country_admin_boundary('Marshall Islands', 'Atoll', 'Majuro')`"
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    "<font color='blue'>1.4. Visualising and exploring RMI dataset with an interactive map\n",
    "\n",
    "Now that you have accessed this data and downloaded this data you can now visualise this data in an interactive map as part of the leafmap functionality within Python notebooks. This function has been wrapped and simplified in DEP using the **explore()** function. \n",
    "\n",
    "Try to input your area of interest variable followed by: \n",
    "    \n",
    "> .explore()\n",
    "    \n",
    "Once loaded, try out this interactive map by scrolling in and out and panning around to different areas of the basemap.\n",
    "    \n",
    "> Input your code for 1.4 in this cell eg. `Majuro.explore()`"
   ]
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    "<font color='blue'>2. Practicing this workflow for another atoll.\n",
    "\n",
    "Now through this workflow you have learned how to use the following functions and define variables:\n",
    "    \n",
    "> 1. dep.list_boundary_types('Marshall Islands') - List the boundary datasets available for a specific country\n",
    "> 2. dep.list_country_boundary('Marshall Islands', 'Atoll') - List the atoll boundaries available\n",
    "> 3. dep.get_country_boundary('Marshall Islands', 'Atoll', 'insert atoll name from list') - Get one of the boundary datasets and use configure this to be your area of interest \n",
    "> 3. var = ... - Define this boundary dataset within a new variable\n",
    "> 4. var.explore() - Explore this boundary dataset within an interactive map\n",
    "    \n",
    "Practice this workflow by repeating these steps but this time, choose a different boundary from the same or even a different country. \n",
    "\n"
   ]
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    "<font color='blue'>2.1 Get or download another atoll boundary dataset\n",
    "\n",
    "First, you will be following the step same to the last code inputted for activity 1.1 :\n",
    "\n",
    "> `dep.list_country_boundary('insert parameters required inside quotation marks and separated by commas')`\n",
    "    \n",
    "Running this should list the boundaries again."
   ]
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   "source": [
    "<font color='blue'>2.2 Get a single division boundary for your aoi following a similar workflow to 1.2:\n",
    "> `dep.get_country_boundary('insert parameters required inside quotation marks and separated by commas')`\n"
   ]
  },
  {
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   "source": [
    "<font color='blue'>2.3 Define this division boundary within a new variable using a similar step to 1.3:\n"
   ]
  },
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   "id": "d41ab194-e19d-451c-87bc-1bfeb503f029",
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   "source": [
    "<font color='blue'>2.4 Explore this division boundary using a similar step to 1.4:\n"
   ]
  },
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   "source": [
    "<font color='blue'>3. Uploading your own area of interest in geojson format:\n",
    "\n",
    "While it is useful to perform analysis within government administrative boundaries, we may also have work requiring us to perform analysis within custom boundaries or \"areas of interest (AOIs)\". In this activity you will learn how to use a custom area of interest based on examples in Majuro and then how to upload your own geojson for the analysis:\n"
   ]
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   "source": [
    "<font color='blue'>3.1. Loading a geojson:\n",
    "\n",
    "If you have your own geojson file for an aoi already, you can simply drag and drop it into this Jupyter folder - if you do not have a .geojson file already, you can use one we have prepared earlier:   \n",
    "    \n",
    "> \"majuro.geojson\"\n",
    "    \n",
    "<div><img src=\"https://github.com/digitalearthpacific/depal/blob/main/Marshall_Islands/intro-activities/reference_materials/laura_2_geojson.PNG?raw=true\" width=\"400\"/></div>"
   ]
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   "source": [
    "Try double clicking on your geojson file to open it and to verify that it is the area that you are seeking to analyse: \n",
    "\n",
    "<div><img src=\"https://github.com/digitalearthpacific/depal/blob/main/Marshall_Islands/intro-activities/reference_materials/laura_explorer.PNG?raw=true\" width=\"800\"/></div>\n"
   ]
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   "source": [
    "<font color='blue'>3.2. Loading geojson into depal \n",
    "    \n",
    "To load this geojson area into depal use the function: \n",
    "    \n",
    "> `dep.get_area_from_geojson(\"Marshall_Islands/laura_extent.geojson\")` \n",
    "    \n",
    "Note, do not forget to place your filename within quotations \"...\" including the extension\n",
    "    \n",
    "> Input your code for 3.2 in this cell eg. `dep.get_area_from_geojson(\"...\")`"
   ]
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   "source": [
    "<font color='blue'>3.3. Define this new aoi within a new variable (refer to 2.3) "
   ]
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   "id": "98540d12-f23b-448c-a0c5-1fc52f44545b",
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   "source": [
    "<font color='blue'>3.4 Explore this aoi using the explore() function (refer to 2.4): \n"
   ]
  },
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   "source": [
    "<font color='blue'>3.5 Repeat these steps from 3.2-3.4 but this time use the majuro_town_centre_extent.geojson and the eneko_extent.geojson to explore the different parts of Majuro: \n"
   ]
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   "source": [
    "#### **<font color='green'>Well done...**\n",
    "\n",
    "You have learned how to set up your area of interest in depal. Now we will begin working with the satellite imagery data. "
   ]
  },
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    "Note that there are a range of different datasets and models. For this activity we are most interested in the **Sentinel 2** dataset. \n",
    "This data has been pre-processed as a GeoMAD product for use in this workshop. This will be explained in the workshop. "
   ]
  },
  {
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   "source": [
    "### <font color='blue'>Learning about the European Space Agency Sentinel 2 Satellite.</font>\n",
    "<font color = 'blue' ></font>"
   ]
  },
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    "The main satellite data we will be using for this workshop is from the Copernicus Sentinel 2 satellite dataset as shown in figure s.2.a. \n",
    "\n",
    "<div><img src=\"https://github.com/digitalearthpacific/DigitalEarthPacific/blob/main/notebooks/DEP_LCAST/reference_materials/images/1B/Sentinel.1.jpg?raw=true\" width=\"600\"/></div>\n"
   ]
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    "Figure S.2.a. Provides an overview of Sentinel 2 satellite:\n",
    "\n",
    "The table in figure S.2.b. provides a list of the different bands or spectral wavelengths captured by the Sentinel 2 satellite. We will be using these for our analyses within the workshop. \n",
    "\n",
    "The bands are measured in wavelengths with unit measurements of nanometers. Visible light is measured in nanometers (nm). A nanometer is a unit of length equal to one billionth of a meter.\n",
    "\n",
    "<font color='blue'>4.1. Learning about spectral bands: \n",
    "\n",
    "These include optical bands we can see with the human eye:\n",
    "- (B2) Blue = 458-523 nm\n",
    "- (B3) Green = 543-578 nm \n",
    "- (B4) Red = 650-680 nm\n",
    "\n",
    "And infrared bands that cannot be detected by the human eye:\n",
    "- (B8) Near Infrared or NIR = 785-900 nm\n",
    "- (B11) Shortwave Infrared 1 or SWIR 1 = 1565-1655 nm\n",
    "\n",
    "For the full list see Figure S.2.b.\n",
    "\n",
    "<div><img src=\"https://github.com/digitalearthpacific/DigitalEarthPacific/blob/main/notebooks/DEP_LCAST/reference_materials/images/1B/Sentinel.2.png?raw=true=\"600\" width=\"580\"/></div>  "
   ]
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    "Figure S.2.b. Table list of spectral bands captured by sensors on the Sentinel 2 satellite\n",
    "\n",
    "A visualisation of these bands from the table in S.2.b. is visualised as a spectrum in figure S.2.c.\n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "<div><img src=\"https://github.com/digitalearthpacific/DigitalEarthPacific/blob/main/notebooks/DEP_LCAST/reference_materials/images/1B/Sentinel.3.jpg?raw=true=\"600\" width=\"580\"/></div>    "
   ]
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   "source": [
    "Figure S.2.c. The spectrum of different wavelengths visualised:"
   ]
  },
  {
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   "source": [
    "List the different satellite imagery datasets here:"
   ]
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       "      <th>4</th>\n",
       "      <td>3dep-lidar-dtm-native</td>\n",
       "      <td>USGS 3DEP Lidar Digital Terrain Model (Native)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3dep-lidar-hag</td>\n",
       "      <td>USGS 3DEP Lidar Height above Ground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3dep-lidar-intensity</td>\n",
       "      <td>USGS 3DEP Lidar Intensity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3dep-lidar-pointsourceid</td>\n",
       "      <td>USGS 3DEP Lidar Point Source</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3dep-lidar-returns</td>\n",
       "      <td>USGS 3DEP Lidar Returns</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3dep-seamless</td>\n",
       "      <td>USGS 3DEP Seamless DEMs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>alos-dem</td>\n",
       "      <td>ALOS World 3D-30m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>alos-fnf-mosaic</td>\n",
       "      <td>ALOS Forest/Non-Forest Annual Mosaic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>alos-palsar-mosaic</td>\n",
       "      <td>ALOS PALSAR Annual Mosaic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>aster-l1t</td>\n",
       "      <td>ASTER L1T</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>chesapeake-lc-13</td>\n",
       "      <td>Chesapeake Land Cover (13-class)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>chesapeake-lc-7</td>\n",
       "      <td>Chesapeake Land Cover (7-class)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>chesapeake-lu</td>\n",
       "      <td>Chesapeake Land Use</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>chloris-biomass</td>\n",
       "      <td>Chloris Biomass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>cil-gdpcir-cc-by</td>\n",
       "      <td>CIL Global Downscaled Projections for Climate Impacts Research (CC-BY-4.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>cil-gdpcir-cc-by-sa</td>\n",
       "      <td>CIL Global Downscaled Projections for Climate Impacts Research (CC-BY-SA-4.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>cil-gdpcir-cc0</td>\n",
       "      <td>CIL Global Downscaled Projections for Climate Impacts Research (CC0-1.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>cop-dem-glo-30</td>\n",
       "      <td>Copernicus DEM GLO-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>cop-dem-glo-90</td>\n",
       "      <td>Copernicus DEM GLO-90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>daymet-annual-hi</td>\n",
       "      <td>Daymet Annual Hawaii</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>daymet-annual-na</td>\n",
       "      <td>Daymet Annual North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>daymet-annual-pr</td>\n",
       "      <td>Daymet Annual Puerto Rico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>daymet-daily-hi</td>\n",
       "      <td>Daymet Daily Hawaii</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>daymet-daily-na</td>\n",
       "      <td>Daymet Daily North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>daymet-daily-pr</td>\n",
       "      <td>Daymet Daily Puerto Rico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>daymet-monthly-hi</td>\n",
       "      <td>Daymet Monthly Hawaii</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>daymet-monthly-na</td>\n",
       "      <td>Daymet Monthly North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>daymet-monthly-pr</td>\n",
       "      <td>Daymet Monthly Puerto Rico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>deltares-floods</td>\n",
       "      <td>Deltares Global Flood Maps</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>deltares-water-availability</td>\n",
       "      <td>Deltares Global Water Availability</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>drcog-lulc</td>\n",
       "      <td>Denver Regional Council of Governments Land Use Land Cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>eclipse</td>\n",
       "      <td>Urban Innovation Eclipse Sensor Data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>ecmwf-forecast</td>\n",
       "      <td>ECMWF Open Data (real-time)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>era5-pds</td>\n",
       "      <td>ERA5 - PDS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>esa-cci-lc</td>\n",
       "      <td>ESA Climate Change Initiative Land Cover Maps (Cloud Optimized GeoTIFF)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>esa-cci-lc-netcdf</td>\n",
       "      <td>ESA Climate Change Initiative Land Cover Maps (NetCDF)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>esa-worldcover</td>\n",
       "      <td>ESA WorldCover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>fia</td>\n",
       "      <td>Forest Inventory and Analysis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>fws-nwi</td>\n",
       "      <td>FWS National Wetlands Inventory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>gap</td>\n",
       "      <td>USGS Gap Land Cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>gbif</td>\n",
       "      <td>Global Biodiversity Information Facility (GBIF)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>gnatsgo-rasters</td>\n",
       "      <td>gNATSGO Soil Database - Rasters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>gnatsgo-tables</td>\n",
       "      <td>gNATSGO Soil Database - Tables</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>goes-cmi</td>\n",
       "      <td>GOES-R Cloud &amp; Moisture Imagery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>goes-glm</td>\n",
       "      <td>GOES-R Lightning Detection</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>gpm-imerg-hhr</td>\n",
       "      <td>GPM IMERG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>gridmet</td>\n",
       "      <td>gridMET</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>hgb</td>\n",
       "      <td>HGB: Harmonized Global Biomass for 2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>hrea</td>\n",
       "      <td>HREA: High Resolution Electricity Access</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>io-biodiversity</td>\n",
       "      <td>Biodiversity Intactness</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>io-lulc</td>\n",
       "      <td>Esri 10-Meter Land Cover (10-class)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>io-lulc-9-class</td>\n",
       "      <td>10m Annual Land Use Land Cover (9-class) V1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>io-lulc-annual-v02</td>\n",
       "      <td>10m Annual Land Use Land Cover (9-class) V2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>jrc-gsw</td>\n",
       "      <td>JRC Global Surface Water</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>kaza-hydroforecast</td>\n",
       "      <td>HydroForecast - Kwando &amp; Upper Zambezi Rivers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>landsat-c2-l1</td>\n",
       "      <td>Landsat Collection 2 Level-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>landsat-c2-l2</td>\n",
       "      <td>Landsat Collection 2 Level-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>mobi</td>\n",
       "      <td>MoBI: Map of Biodiversity Importance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>modis-09A1-061</td>\n",
       "      <td>MODIS Surface Reflectance 8-Day (500m)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>modis-09Q1-061</td>\n",
       "      <td>MODIS Surface Reflectance 8-Day (250m)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>modis-10A1-061</td>\n",
       "      <td>MODIS Snow Cover Daily</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>modis-10A2-061</td>\n",
       "      <td>MODIS Snow Cover 8-day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>modis-11A1-061</td>\n",
       "      <td>MODIS Land Surface Temperature/Emissivity Daily</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>modis-11A2-061</td>\n",
       "      <td>MODIS Land Surface Temperature/Emissivity 8-Day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>modis-13A1-061</td>\n",
       "      <td>MODIS Vegetation Indices 16-Day (500m)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>modis-13Q1-061</td>\n",
       "      <td>MODIS Vegetation Indices 16-Day (250m)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>modis-14A1-061</td>\n",
       "      <td>MODIS Thermal Anomalies/Fire Daily</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>modis-14A2-061</td>\n",
       "      <td>MODIS Thermal Anomalies/Fire 8-Day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>modis-15A2H-061</td>\n",
       "      <td>MODIS Leaf Area Index/FPAR 8-Day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>modis-15A3H-061</td>\n",
       "      <td>MODIS Leaf Area Index/FPAR 4-Day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>modis-16A3GF-061</td>\n",
       "      <td>MODIS Net Evapotranspiration Yearly Gap-Filled</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>modis-17A2H-061</td>\n",
       "      <td>MODIS Gross Primary Productivity 8-Day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>modis-17A2HGF-061</td>\n",
       "      <td>MODIS Gross Primary Productivity 8-Day Gap-Filled</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>modis-17A3HGF-061</td>\n",
       "      <td>MODIS Net Primary Production Yearly Gap-Filled</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>modis-21A2-061</td>\n",
       "      <td>MODIS Land Surface Temperature/3-Band Emissivity 8-Day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>modis-43A4-061</td>\n",
       "      <td>MODIS Nadir BRDF-Adjusted Reflectance (NBAR) Daily</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>modis-64A1-061</td>\n",
       "      <td>MODIS Burned Area Monthly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>ms-buildings</td>\n",
       "      <td>Microsoft Building Footprints</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>mtbs</td>\n",
       "      <td>MTBS: Monitoring Trends in Burn Severity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>naip</td>\n",
       "      <td>NAIP: National Agriculture Imagery Program</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>nasa-nex-gddp-cmip6</td>\n",
       "      <td>Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>nasadem</td>\n",
       "      <td>NASADEM HGT v001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>noaa-c-cap</td>\n",
       "      <td>C-CAP Regional Land Cover and Change</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>noaa-cdr-ocean-heat-content</td>\n",
       "      <td>Global Ocean Heat Content CDR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>noaa-cdr-ocean-heat-content-netcdf</td>\n",
       "      <td>Global Ocean Heat Content CDR NetCDFs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>noaa-cdr-sea-surface-temperature-optimum-interpolation</td>\n",
       "      <td>Sea Surface Temperature - Optimum Interpolation CDR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>noaa-cdr-sea-surface-temperature-whoi</td>\n",
       "      <td>Sea Surface Temperature - WHOI CDR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>noaa-cdr-sea-surface-temperature-whoi-netcdf</td>\n",
       "      <td>Sea Surface Temperature - WHOI CDR NetCDFs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>noaa-climate-normals-gridded</td>\n",
       "      <td>NOAA US Gridded Climate Normals (Cloud-Optimized GeoTIFF)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>noaa-climate-normals-netcdf</td>\n",
       "      <td>NOAA US Gridded Climate Normals (NetCDF)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>noaa-climate-normals-tabular</td>\n",
       "      <td>NOAA US Tabular Climate Normals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>noaa-mrms-qpe-1h-pass1</td>\n",
       "      <td>NOAA MRMS QPE 1-Hour Pass 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>noaa-mrms-qpe-1h-pass2</td>\n",
       "      <td>NOAA MRMS QPE 1-Hour Pass 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>noaa-mrms-qpe-24h-pass2</td>\n",
       "      <td>NOAA MRMS QPE 24-Hour Pass 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>noaa-nclimgrid-monthly</td>\n",
       "      <td>Monthly NOAA U.S. Climate Gridded Dataset (NClimGrid)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>nrcan-landcover</td>\n",
       "      <td>Land Cover of Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>planet-nicfi-analytic</td>\n",
       "      <td>Planet-NICFI Basemaps (Analytic)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>planet-nicfi-visual</td>\n",
       "      <td>Planet-NICFI Basemaps (Visual)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>sentinel-1-grd</td>\n",
       "      <td>Sentinel 1 Level-1 Ground Range Detected (GRD)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>sentinel-1-rtc</td>\n",
       "      <td>Sentinel 1 Radiometrically Terrain Corrected (RTC)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>sentinel-2-l2a</td>\n",
       "      <td>Sentinel-2 Level-2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>sentinel-3-olci-lfr-l2-netcdf</td>\n",
       "      <td>Sentinel-3 Land (Full Resolution)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>sentinel-3-olci-wfr-l2-netcdf</td>\n",
       "      <td>Sentinel-3 Water (Full Resolution)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>sentinel-3-slstr-frp-l2-netcdf</td>\n",
       "      <td>Sentinel-3 Fire Radiative Power</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>sentinel-3-slstr-lst-l2-netcdf</td>\n",
       "      <td>Sentinel-3 Land Surface Temperature</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>sentinel-3-slstr-wst-l2-netcdf</td>\n",
       "      <td>Sentinel-3 Sea Surface Temperature</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>sentinel-3-sral-lan-l2-netcdf</td>\n",
       "      <td>Sentinel-3 Land Radar Altimetry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>sentinel-3-sral-wat-l2-netcdf</td>\n",
       "      <td>Sentinel-3 Ocean Radar Altimetry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>sentinel-3-synergy-aod-l2-netcdf</td>\n",
       "      <td>Sentinel-3 Global Aerosol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>sentinel-3-synergy-syn-l2-netcdf</td>\n",
       "      <td>Sentinel-3 Land Surface Reflectance and Aerosol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>sentinel-3-synergy-v10-l2-netcdf</td>\n",
       "      <td>Sentinel-3 10-Day Surface Reflectance and NDVI (SPOT VEGETATION)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>sentinel-3-synergy-vg1-l2-netcdf</td>\n",
       "      <td>Sentinel-3 1-Day Surface Reflectance and NDVI (SPOT VEGETATION)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>sentinel-3-synergy-vgp-l2-netcdf</td>\n",
       "      <td>Sentinel-3 Top of Atmosphere Reflectance (SPOT VEGETATION)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>sentinel-5p-l2-netcdf</td>\n",
       "      <td>Sentinel-5P Level-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>terraclimate</td>\n",
       "      <td>TerraClimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>us-census</td>\n",
       "      <td>US Census</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>usda-cdl</td>\n",
       "      <td>USDA Cropland Data Layers (CDLs)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>usgs-lcmap-conus-v13</td>\n",
       "      <td>USGS LCMAP CONUS Collection 1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>usgs-lcmap-hawaii-v10</td>\n",
       "      <td>USGS LCMAP Hawaii Collection 1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                          0  \\\n",
       "0                                 3dep-lidar-classification   \n",
       "1                                           3dep-lidar-copc   \n",
       "2                                            3dep-lidar-dsm   \n",
       "3                                            3dep-lidar-dtm   \n",
       "4                                     3dep-lidar-dtm-native   \n",
       "5                                            3dep-lidar-hag   \n",
       "6                                      3dep-lidar-intensity   \n",
       "7                                  3dep-lidar-pointsourceid   \n",
       "8                                        3dep-lidar-returns   \n",
       "9                                             3dep-seamless   \n",
       "10                                                 alos-dem   \n",
       "11                                          alos-fnf-mosaic   \n",
       "12                                       alos-palsar-mosaic   \n",
       "13                                                aster-l1t   \n",
       "14                                         chesapeake-lc-13   \n",
       "15                                          chesapeake-lc-7   \n",
       "16                                            chesapeake-lu   \n",
       "17                                          chloris-biomass   \n",
       "18                                         cil-gdpcir-cc-by   \n",
       "19                                      cil-gdpcir-cc-by-sa   \n",
       "20                                           cil-gdpcir-cc0   \n",
       "21                                           cop-dem-glo-30   \n",
       "22                                           cop-dem-glo-90   \n",
       "23                                         daymet-annual-hi   \n",
       "24                                         daymet-annual-na   \n",
       "25                                         daymet-annual-pr   \n",
       "26                                          daymet-daily-hi   \n",
       "27                                          daymet-daily-na   \n",
       "28                                          daymet-daily-pr   \n",
       "29                                        daymet-monthly-hi   \n",
       "30                                        daymet-monthly-na   \n",
       "31                                        daymet-monthly-pr   \n",
       "32                                          deltares-floods   \n",
       "33                              deltares-water-availability   \n",
       "34                                               drcog-lulc   \n",
       "35                                                  eclipse   \n",
       "36                                           ecmwf-forecast   \n",
       "37                                                 era5-pds   \n",
       "38                                               esa-cci-lc   \n",
       "39                                        esa-cci-lc-netcdf   \n",
       "40                                           esa-worldcover   \n",
       "41                                                      fia   \n",
       "42                                                  fws-nwi   \n",
       "43                                                      gap   \n",
       "44                                                     gbif   \n",
       "45                                          gnatsgo-rasters   \n",
       "46                                           gnatsgo-tables   \n",
       "47                                                 goes-cmi   \n",
       "48                                                 goes-glm   \n",
       "49                                            gpm-imerg-hhr   \n",
       "50                                                  gridmet   \n",
       "51                                                      hgb   \n",
       "52                                                     hrea   \n",
       "53                                          io-biodiversity   \n",
       "54                                                  io-lulc   \n",
       "55                                          io-lulc-9-class   \n",
       "56                                       io-lulc-annual-v02   \n",
       "57                                                  jrc-gsw   \n",
       "58                                       kaza-hydroforecast   \n",
       "59                                            landsat-c2-l1   \n",
       "60                                            landsat-c2-l2   \n",
       "61                                                     mobi   \n",
       "62                                           modis-09A1-061   \n",
       "63                                           modis-09Q1-061   \n",
       "64                                           modis-10A1-061   \n",
       "65                                           modis-10A2-061   \n",
       "66                                           modis-11A1-061   \n",
       "67                                           modis-11A2-061   \n",
       "68                                           modis-13A1-061   \n",
       "69                                           modis-13Q1-061   \n",
       "70                                           modis-14A1-061   \n",
       "71                                           modis-14A2-061   \n",
       "72                                          modis-15A2H-061   \n",
       "73                                          modis-15A3H-061   \n",
       "74                                         modis-16A3GF-061   \n",
       "75                                          modis-17A2H-061   \n",
       "76                                        modis-17A2HGF-061   \n",
       "77                                        modis-17A3HGF-061   \n",
       "78                                           modis-21A2-061   \n",
       "79                                           modis-43A4-061   \n",
       "80                                           modis-64A1-061   \n",
       "81                                             ms-buildings   \n",
       "82                                                     mtbs   \n",
       "83                                                     naip   \n",
       "84                                      nasa-nex-gddp-cmip6   \n",
       "85                                                  nasadem   \n",
       "86                                               noaa-c-cap   \n",
       "87                              noaa-cdr-ocean-heat-content   \n",
       "88                       noaa-cdr-ocean-heat-content-netcdf   \n",
       "89   noaa-cdr-sea-surface-temperature-optimum-interpolation   \n",
       "90                    noaa-cdr-sea-surface-temperature-whoi   \n",
       "91             noaa-cdr-sea-surface-temperature-whoi-netcdf   \n",
       "92                             noaa-climate-normals-gridded   \n",
       "93                              noaa-climate-normals-netcdf   \n",
       "94                             noaa-climate-normals-tabular   \n",
       "95                                   noaa-mrms-qpe-1h-pass1   \n",
       "96                                   noaa-mrms-qpe-1h-pass2   \n",
       "97                                  noaa-mrms-qpe-24h-pass2   \n",
       "98                                   noaa-nclimgrid-monthly   \n",
       "99                                          nrcan-landcover   \n",
       "100                                   planet-nicfi-analytic   \n",
       "101                                     planet-nicfi-visual   \n",
       "102                                          sentinel-1-grd   \n",
       "103                                          sentinel-1-rtc   \n",
       "104                                          sentinel-2-l2a   \n",
       "105                           sentinel-3-olci-lfr-l2-netcdf   \n",
       "106                           sentinel-3-olci-wfr-l2-netcdf   \n",
       "107                          sentinel-3-slstr-frp-l2-netcdf   \n",
       "108                          sentinel-3-slstr-lst-l2-netcdf   \n",
       "109                          sentinel-3-slstr-wst-l2-netcdf   \n",
       "110                           sentinel-3-sral-lan-l2-netcdf   \n",
       "111                           sentinel-3-sral-wat-l2-netcdf   \n",
       "112                        sentinel-3-synergy-aod-l2-netcdf   \n",
       "113                        sentinel-3-synergy-syn-l2-netcdf   \n",
       "114                        sentinel-3-synergy-v10-l2-netcdf   \n",
       "115                        sentinel-3-synergy-vg1-l2-netcdf   \n",
       "116                        sentinel-3-synergy-vgp-l2-netcdf   \n",
       "117                                   sentinel-5p-l2-netcdf   \n",
       "118                                            terraclimate   \n",
       "119                                               us-census   \n",
       "120                                                usda-cdl   \n",
       "121                                    usgs-lcmap-conus-v13   \n",
       "122                                   usgs-lcmap-hawaii-v10   \n",
       "\n",
       "                                                                                 1  \n",
       "0                                                   USGS 3DEP Lidar Classification  \n",
       "1                                                      USGS 3DEP Lidar Point Cloud  \n",
       "2                                            USGS 3DEP Lidar Digital Surface Model  \n",
       "3                                            USGS 3DEP Lidar Digital Terrain Model  \n",
       "4                                   USGS 3DEP Lidar Digital Terrain Model (Native)  \n",
       "5                                              USGS 3DEP Lidar Height above Ground  \n",
       "6                                                        USGS 3DEP Lidar Intensity  \n",
       "7                                                     USGS 3DEP Lidar Point Source  \n",
       "8                                                          USGS 3DEP Lidar Returns  \n",
       "9                                                          USGS 3DEP Seamless DEMs  \n",
       "10                                                               ALOS World 3D-30m  \n",
       "11                                            ALOS Forest/Non-Forest Annual Mosaic  \n",
       "12                                                       ALOS PALSAR Annual Mosaic  \n",
       "13                                                                       ASTER L1T  \n",
       "14                                                Chesapeake Land Cover (13-class)  \n",
       "15                                                 Chesapeake Land Cover (7-class)  \n",
       "16                                                             Chesapeake Land Use  \n",
       "17                                                                 Chloris Biomass  \n",
       "18      CIL Global Downscaled Projections for Climate Impacts Research (CC-BY-4.0)  \n",
       "19   CIL Global Downscaled Projections for Climate Impacts Research (CC-BY-SA-4.0)  \n",
       "20        CIL Global Downscaled Projections for Climate Impacts Research (CC0-1.0)  \n",
       "21                                                           Copernicus DEM GLO-30  \n",
       "22                                                           Copernicus DEM GLO-90  \n",
       "23                                                            Daymet Annual Hawaii  \n",
       "24                                                     Daymet Annual North America  \n",
       "25                                                       Daymet Annual Puerto Rico  \n",
       "26                                                             Daymet Daily Hawaii  \n",
       "27                                                      Daymet Daily North America  \n",
       "28                                                        Daymet Daily Puerto Rico  \n",
       "29                                                           Daymet Monthly Hawaii  \n",
       "30                                                    Daymet Monthly North America  \n",
       "31                                                      Daymet Monthly Puerto Rico  \n",
       "32                                                      Deltares Global Flood Maps  \n",
       "33                                              Deltares Global Water Availability  \n",
       "34                      Denver Regional Council of Governments Land Use Land Cover  \n",
       "35                                            Urban Innovation Eclipse Sensor Data  \n",
       "36                                                     ECMWF Open Data (real-time)  \n",
       "37                                                                      ERA5 - PDS  \n",
       "38         ESA Climate Change Initiative Land Cover Maps (Cloud Optimized GeoTIFF)  \n",
       "39                          ESA Climate Change Initiative Land Cover Maps (NetCDF)  \n",
       "40                                                                  ESA WorldCover  \n",
       "41                                                   Forest Inventory and Analysis  \n",
       "42                                                 FWS National Wetlands Inventory  \n",
       "43                                                             USGS Gap Land Cover  \n",
       "44                                 Global Biodiversity Information Facility (GBIF)  \n",
       "45                                                 gNATSGO Soil Database - Rasters  \n",
       "46                                                  gNATSGO Soil Database - Tables  \n",
       "47                                                 GOES-R Cloud & Moisture Imagery  \n",
       "48                                                      GOES-R Lightning Detection  \n",
       "49                                                                       GPM IMERG  \n",
       "50                                                                         gridMET  \n",
       "51                                         HGB: Harmonized Global Biomass for 2010  \n",
       "52                                        HREA: High Resolution Electricity Access  \n",
       "53                                                         Biodiversity Intactness  \n",
       "54                                             Esri 10-Meter Land Cover (10-class)  \n",
       "55                                     10m Annual Land Use Land Cover (9-class) V1  \n",
       "56                                     10m Annual Land Use Land Cover (9-class) V2  \n",
       "57                                                        JRC Global Surface Water  \n",
       "58                                   HydroForecast - Kwando & Upper Zambezi Rivers  \n",
       "59                                                    Landsat Collection 2 Level-1  \n",
       "60                                                    Landsat Collection 2 Level-2  \n",
       "61                                            MoBI: Map of Biodiversity Importance  \n",
       "62                                          MODIS Surface Reflectance 8-Day (500m)  \n",
       "63                                          MODIS Surface Reflectance 8-Day (250m)  \n",
       "64                                                          MODIS Snow Cover Daily  \n",
       "65                                                          MODIS Snow Cover 8-day  \n",
       "66                                 MODIS Land Surface Temperature/Emissivity Daily  \n",
       "67                                 MODIS Land Surface Temperature/Emissivity 8-Day  \n",
       "68                                          MODIS Vegetation Indices 16-Day (500m)  \n",
       "69                                          MODIS Vegetation Indices 16-Day (250m)  \n",
       "70                                              MODIS Thermal Anomalies/Fire Daily  \n",
       "71                                              MODIS Thermal Anomalies/Fire 8-Day  \n",
       "72                                                MODIS Leaf Area Index/FPAR 8-Day  \n",
       "73                                                MODIS Leaf Area Index/FPAR 4-Day  \n",
       "74                                  MODIS Net Evapotranspiration Yearly Gap-Filled  \n",
       "75                                          MODIS Gross Primary Productivity 8-Day  \n",
       "76                               MODIS Gross Primary Productivity 8-Day Gap-Filled  \n",
       "77                                  MODIS Net Primary Production Yearly Gap-Filled  \n",
       "78                          MODIS Land Surface Temperature/3-Band Emissivity 8-Day  \n",
       "79                              MODIS Nadir BRDF-Adjusted Reflectance (NBAR) Daily  \n",
       "80                                                       MODIS Burned Area Monthly  \n",
       "81                                                   Microsoft Building Footprints  \n",
       "82                                        MTBS: Monitoring Trends in Burn Severity  \n",
       "83                                      NAIP: National Agriculture Imagery Program  \n",
       "84             Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)  \n",
       "85                                                                NASADEM HGT v001  \n",
       "86                                            C-CAP Regional Land Cover and Change  \n",
       "87                                                   Global Ocean Heat Content CDR  \n",
       "88                                           Global Ocean Heat Content CDR NetCDFs  \n",
       "89                             Sea Surface Temperature - Optimum Interpolation CDR  \n",
       "90                                              Sea Surface Temperature - WHOI CDR  \n",
       "91                                      Sea Surface Temperature - WHOI CDR NetCDFs  \n",
       "92                       NOAA US Gridded Climate Normals (Cloud-Optimized GeoTIFF)  \n",
       "93                                        NOAA US Gridded Climate Normals (NetCDF)  \n",
       "94                                                 NOAA US Tabular Climate Normals  \n",
       "95                                                     NOAA MRMS QPE 1-Hour Pass 1  \n",
       "96                                                     NOAA MRMS QPE 1-Hour Pass 2  \n",
       "97                                                    NOAA MRMS QPE 24-Hour Pass 2  \n",
       "98                           Monthly NOAA U.S. Climate Gridded Dataset (NClimGrid)  \n",
       "99                                                            Land Cover of Canada  \n",
       "100                                               Planet-NICFI Basemaps (Analytic)  \n",
       "101                                                 Planet-NICFI Basemaps (Visual)  \n",
       "102                                 Sentinel 1 Level-1 Ground Range Detected (GRD)  \n",
       "103                             Sentinel 1 Radiometrically Terrain Corrected (RTC)  \n",
       "104                                                            Sentinel-2 Level-2A  \n",
       "105                                              Sentinel-3 Land (Full Resolution)  \n",
       "106                                             Sentinel-3 Water (Full Resolution)  \n",
       "107                                                Sentinel-3 Fire Radiative Power  \n",
       "108                                            Sentinel-3 Land Surface Temperature  \n",
       "109                                             Sentinel-3 Sea Surface Temperature  \n",
       "110                                                Sentinel-3 Land Radar Altimetry  \n",
       "111                                               Sentinel-3 Ocean Radar Altimetry  \n",
       "112                                                      Sentinel-3 Global Aerosol  \n",
       "113                                Sentinel-3 Land Surface Reflectance and Aerosol  \n",
       "114               Sentinel-3 10-Day Surface Reflectance and NDVI (SPOT VEGETATION)  \n",
       "115                Sentinel-3 1-Day Surface Reflectance and NDVI (SPOT VEGETATION)  \n",
       "116                     Sentinel-3 Top of Atmosphere Reflectance (SPOT VEGETATION)  \n",
       "117                                                            Sentinel-5P Level-2  \n",
       "118                                                                   TerraClimate  \n",
       "119                                                                      US Census  \n",
       "120                                               USDA Cropland Data Layers (CDLs)  \n",
       "121                                                USGS LCMAP CONUS Collection 1.3  \n",
       "122                                               USGS LCMAP Hawaii Collection 1.0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dep.list_data_sources()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d70b7e6-19ed-4ca0-b609-7452489ee84c",
   "metadata": {},
   "source": [
    "<font color='blue'>4.1.a. Learn about sentinel 2 satellite spectral bands:  \n",
    "\n",
    "> use the library `dep.`\n",
    "\n",
    "> use the function `list_data_bands`\n",
    "\n",
    "> input the arguments by listing the dataset of interest `('sentinel-2-l2a')`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf81e7d4-6bf1-4c5a-8edd-846caeaa1946",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "fba50509-4980-4731-bc2c-93791661c81e",
   "metadata": {},
   "source": [
    "<font color='blue'>4.1.b. Learn about landsat spectral bands:  \n",
    "\n",
    "> use the library `dep.`\n",
    "\n",
    "> use the function `list_data_bands`\n",
    "\n",
    "> input the arguments by listing the dataset of interest `('landsat-c2-l2')`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5458bcaa-7a59-4b64-ac67-f13321e351f1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "dd1e9809-3774-4cd3-85e0-958b05591775",
   "metadata": {},
   "source": [
    "<font color='blue'>4.2. Get annual Red Green and Blue (RGB) data for your aoi:\n",
    "    \n",
    "Now we can get our most recent satellite data using depal for our predefined aoi. The function to load the red green and blue bands of satellite data is as follows:\n",
    "\n",
    "> `dep.get_latest(aoi)`\n",
    "    \n",
    "> Input your code for 4.1 in this cell eg. `dep.get_latest_images(aoi)`\n",
    "    \n",
    "For the first input within the brackets you will first need to input your own aoi variable where it says 'aoi'. The results should show you how many images were found. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "407577bf-6c2b-4488-85ac-8c28423cf366",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "3abe23cd-6194-4ae6-9dff-0b4ecee3e4e2",
   "metadata": {
    "tags": []
   },
   "source": [
    "<font color='blue'>4.3 Define your answer from 4.2 within a new variable:\n",
    "    \n",
    "> For example data = ...."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ad0a5b8d-ef4b-410d-9ef7-295b068d3189",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "f3539cd9-e092-4221-96f0-c9eee628b313",
   "metadata": {
    "tags": []
   },
   "source": [
    "<font color='blue'>4.3 Plot this data for visualisation:\n",
    "    \n",
    "Plotting this data will allow you to see the results. Here we use :\n",
    "    \n",
    "> `dep.visualise(data, cmap=None)` \n",
    "    \n",
    "Where data is the variable you defined in 4.3. \n",
    "\n",
    "Note this will generate a series of satellite imagery data for 2024 since you have loaded the most recent data. In the next activities we will be learning how to generate more data across different timescales.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54e87ceb-d0d9-4887-87dd-897fc98f4344",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "40688601-0c71-4abb-a8c4-c67ad63620be",
   "metadata": {},
   "source": [
    "#### **<font color='green'>Congratulations you have now completed the intro to depal notebook activity.**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf1c8458-c77e-42f1-9851-7f443e4a1144",
   "metadata": {
    "tags": []
   },
   "source": [
    "<font color='purple'>5.1 Optional bonus activity: if you have finished all the other activities and still have time before the next part of the course, you can master the workflows of 1.1-1.4 and 2.1-2.4 by practicing these steps one more time but this time for a different area of interest. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53a84ab4-bc44-4d7d-ba85-c50a3292dc8a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a3b58013-eba3-4a7f-96b9-4da24f5a2c99",
   "metadata": {},
   "source": [
    "#### **<font color='green'>Excellent work!!!**\n",
    "    \n",
    "You have also completed the bonus activities."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
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