{ "cells": [ { "cell_type": "markdown", "id": "d7080a00-5c34-45e5-9aae-2634781ee781", "metadata": {}, "source": [ "# GEDI_L4A Subset and Visualize\n", "\n", "Authors: Chuck Daniels (Development Seed), Jamison French (Development Seed), Anish Bhusal (UAH), Sumant Jha (MSFC/USRA), Alex Mandel (Development Seed)\n", "\n", "Date: November 14, 2022\n", "\n", "Description: In this tutorial, we will use a GeoJSON to create an area of interest (AOI) and use it in MAAP's GEDI Subsetter. We will then visualize the output file created by the subsetter by plotting elevation contours." ] }, { "cell_type": "markdown", "id": "bc00ac8f-bf85-4d58-8801-6696391f57c7", "metadata": {}, "source": [ "## Run This Notebook\n", "To access and run this tutorial within MAAP's Algorithm Development Environment (ADE), please refer to the [\"Getting started with the MAAP\"](https://docs.maap-project.org/en/latest/getting_started/getting_started.html) section of our documentation.\n", "\n", "Disclaimer: it is highly recommended to run a tutorial within MAAP's ADE, which already includes packages specific to MAAP, such as maap-py. Running the tutorial outside of the MAAP ADE may lead to errors." ] }, { "cell_type": "markdown", "id": "d5ff2e52-0f48-4e50-b397-ee2aa3a936a4", "metadata": {}, "source": [ "## About the Data\n", "\n", "GEDI L4A Footprint Level Aboveground Biomass Density, Version 2\n", "\n", "This dataset provides Global Ecosystem Dynamics Investigation (GEDI) Level 4 (L4) data, which has the purpose of providing mean aboveground biomass density (AGBD) and consists of the GEDI_L4A and GEDI_L4B collections. GEDI L4A contains predictions of AGBD and estimates of the prediction standard error. GEDI is attached to the International Space Station (ISS) and collects data globally between 51.6° N and 51.6° S latitudes at the highest resolution and densest sampling of any light detection and ranging (lidar) instrument in orbit to date; specifically, GEDI L4A data has a spatial resolution of 25m. [Source: GEDI_L4A Version 2 User Guide](https://daac.ornl.gov/GEDI/guides/GEDI_L4A_AGB_Density_V2_1.html)" ] }, { "cell_type": "markdown", "id": "bf1e2f28-29de-4f74-aa07-cb9dd9c57354", "metadata": {}, "source": [ "## Additional Resources\n", "- [GEDI_L4A Version 2 Data Set Landing Page](https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=2056)\n", "- [The GEDI Website](https://gedi.umd.edu/)\n", "- [Earthdata Search](https://search.earthdata.nasa.gov/search?q=GEDI_L4A)\n", "- GEDI Subsetter DOI: [10.5281/zenodo.10019412](http://doi.org/10.5281/zenodo.10019412)" ] }, { "cell_type": "markdown", "id": "eb7ec880", "metadata": {}, "source": [ "## [Optional] Install Python Packages\n", "\n", "This notebook contains some cells marked as optional, meaning that you can use this notebook without necessarily running such cells.\n", "\n", "However, if you do wish to run the optional cells, you must install the following Python packages, which might not already be installed in your environment:\n", "\n", "- `geopandas`: for reading your AOI (GeoJson file), as well as for reading the job output (GeoPackage file containing the subset)\n", "- `contextily`: for visually verifying your AOI\n", "- `backoff`: for repeatedly polling the job status (after submission) until the job has been completed (either successfully or not)\n", "- `folium`: for visualizing your data on a Leaflet map\n", "- `geojsoncontour`: for converting your matplotlib contour plots to geojson" ] }, { "cell_type": "code", "execution_count": null, "id": "ec5be306", "metadata": { "tags": [] }, "outputs": [], "source": [ "# Uncomment the following lines to install these packages if you haven't already.\n", "# !pip install geopandas\n", "# !pip install contextily\n", "# !pip install backoff\n", "# !pip install folium\n", "# !pip install geojsoncontour" ] }, { "cell_type": "markdown", "id": "693fcd56", "metadata": {}, "source": [ "A job can be submitted without these packages, but installing them in order to run the optional cells may make it more convenient for you to visually verify both your AOI and the subset output produced by your job.\n", "\n", "## Obtain Username" ] }, { "cell_type": "code", "execution_count": 6, "id": "a6172523", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "'smk0033'" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from maap.maap import MAAP\n", "\n", "maap = MAAP(maap_host=\"api.maap-project.org\")\n", "username = maap.profile.account_info()[\"username\"]\n", "username" ] }, { "cell_type": "markdown", "id": "bb3641f2", "metadata": {}, "source": [ "## Define the Area of Interest\n", "\n", "You may use either a publicly available GeoJSON file for your AOI, such as\n", "those available at [geoBoundaries](https://www.geoboundaries.org), or you\n", "may create a custom GeoJSON file for your AOI. The following 2 subsections\n", "cover both cases.\n", "\n", "### Using a geoBoundary GeoJSON File\n", "\n", "If your AOI is a publicly available geoBoundary, you can obtain the URL for the\n", "GeoJSON file using the function below. You simply need to supply an ISO3 value\n", "and a level. To find the appropriate ISO3 and level values, see the\n", "[table on the geoBoundaries site](https://www.geoboundaries.org/index.html#getdata)." ] }, { "cell_type": "code", "execution_count": 7, "id": "5377925e", "metadata": { "tags": [] }, "outputs": [], "source": [ "import requests\n", "\n", "\n", "def get_geo_boundary_url(iso3: str, level: int) -> str:\n", " response = requests.get(\n", " f\"https://www.geoboundaries.org/api/current/gbOpen/{iso3}/ADM{level}\"\n", " )\n", " response.raise_for_status()\n", " return response.json()[\"gjDownloadURL\"]\n", "\n", "\n", "# If using a geoBoundary, uncomment the following assignment, supply\n", "# appropriate values for `` and ``, then run this cell.\n", "\n", "# Example (Gabon level 0): get_geo_boundary(\"GAB\", 0)\n", "\n", "# aoi = get_geo_boundary_url(\"\", )" ] }, { "cell_type": "markdown", "id": "962fabdd", "metadata": {}, "source": [ "### Using a Custom GeoJSON File\n", "\n", "Alternatively, you can make your own GeoJSON file for your AOI and place it\n", "within your `my-public-bucket` folder within the ADE.\n", "\n", "Based upon where you place your GeoJSON file under `my-public-bucket`, you can\n", "construct the URL for a job's `aoi` input value.\n", "\n", "For example, if the relative path of your AOI GeoJSON file under\n", "`my-public-bucket` is `path/to/my-aoi.geojson` (avoid using whitespace in the\n", "path and filename), the URL you would supply as the value of a job's `aoi`\n", "input would be the following (where `{username}` is replaced with your username\n", "as output from the previous section):\n", "\n", "```\n", "f\"https://maap-ops-workspace.s3.amazonaws.com/shared/{username}/path/to/my-aoi.geojson\"`\n", "```\n", "\n", "If this is the case, use the cell below." ] }, { "cell_type": "code", "execution_count": 8, "id": "bbf39a75", "metadata": { "tags": [] }, "outputs": [], "source": [ "#aoi = f\"https://maap-ops-workspace.s3.amazonaws.com/shared/{username}/langtang_np.geojson\"\n", "\n", "#for your convenience you can use this geoJSON file but if you have your own geojson, use the commented link as example format\n", "aoi = f\"https://maap-ops-workspace.s3.amazonaws.com/shared/anisbhsl/langtang_np.geojson\"" ] }, { "cell_type": "markdown", "id": "c74bcaa4", "metadata": {}, "source": [ "This example uses the AOI of Gosaikunda Lake region inside Langtang National Park. You can also create your own GeoJSON file for your AOI using sites like [geojson.io](https://geojson.io/)" ] }, { "cell_type": "markdown", "id": "e12551ba", "metadata": {}, "source": [ "![Gosaikunda](../../_static/gedi_l4a_example_lantang_aoi.png)" ] }, { "cell_type": "markdown", "id": "cff38a39", "metadata": {}, "source": [ "## [Optional] Visually Verify your AOI\n", "\n", "If you want to visually verify your AOI before proceeding, you may run the following cell, if you have the `geopandas` and `contextily` Python packages installed." ] }, { "cell_type": "code", "execution_count": 9, "id": "fe9dc6c8", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "try:\n", " import geopandas as gpd\n", " import contextily as ctx\n", "except:\n", " print(\n", " \"If you wish to visually verify your AOI, \"\n", " \"you must install the `geopandas` and `contextily` packages.\"\n", " )\n", "else:\n", " aoi_gdf = gpd.read_file(aoi)\n", " aoi_epsg4326 = aoi_gdf.to_crs(epsg=4326)\n", " ax = aoi_epsg4326.plot(figsize=(10, 5), alpha=0.3, edgecolor=\"red\")\n", " ctx.add_basemap(ax, crs=4326)" ] }, { "cell_type": "markdown", "id": "20dc3e4d", "metadata": {}, "source": [ "## Submit a Job\n", "\n", "When supplying input values for a GEDI subsetting job, to use the default value\n", "for a field (where indicated), use a dash (`\"-\"`) as the input value.\n", "\n", "- `aoi` (required): URL to a GeoJSON file representing your area of interest,\n", " as explained above.\n", "\n", "- `doi`: Digital Object Identifier (DOI) of the GEDI collection to subset, or\n", " a logical name representing such a DOI. Valid logical names: L1B, L2A,\n", " L2B, L4A\n", "\n", "- `columns`: Comma-separated list of column names to include in the output file.\n", "\n", "- `query`: Query expression for subsetting the rows in the output file.\n", "\n", "- `limit`: Maximum number of GEDI granule data files to download (among those\n", " that intersect the specified AOI). (Default: 10000)\n", "\n", "It is recommended to use `maap-dps-worker-32gb` queues when submitting a job with a large aoi.\n", "\n", "In addition, the `version` argument should be updated to match [the most recent version of the GEDI Subsetter](https://github.com/MAAP-Project/gedi-subsetter/releases). " ] }, { "cell_type": "code", "execution_count": 10, "id": "b4d381ae", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "'5090fbf1-1418-433b-817b-b6f4d982171b'" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "inputs = dict(\n", " aoi=aoi,\n", " doi=\"L4A\",\n", " lat=\"lat_lowestmode\",\n", " lon=\"lon_lowestmode\",\n", " beams=\"coverage\",\n", " columns=\"agbd, agbd_se, sensitivity, geolocation/sensitivity_a2, elev_lowestmode\",\n", " query=\"l2_quality_flag == 1 and l4_quality_flag == 1 and sensitivity > 0.95 and `geolocation/sensitivity_a2` > 0.95\",\n", " limit=10,\n", " output=\"gedi_subset.gpkg\"\n", ")\n", "\n", "result = maap.submitJob(\n", " identifier=\"gedi-subset\",\n", " algo_id=\"gedi-subset\",\n", " version=\"0.12.0\",\n", " queue=\"maap-dps-worker-32gb\",\n", " **inputs,\n", ")\n", "\n", "job_id = result.id\n", "job_id or result" ] }, { "cell_type": "markdown", "id": "9a1b92c8", "metadata": {}, "source": [ "## Get the Job's Output File\n", "\n", "Now that the job has been submitted, we can use the `job_id` to check the job\n", "status until the job has been completed." ] }, { "cell_type": "code", "execution_count": 11, "id": "598c9d39", "metadata": {}, "outputs": [], "source": [ "from urllib.parse import urlparse\n", "\n", "\n", "def job_status_for(job_id: str) -> str:\n", " return maap.getJobStatus(job_id)\n", "\n", "\n", "def job_result_for(job_id: str) -> str:\n", " return maap.getJobResult(job_id)[0]\n", "\n", "\n", "def to_job_output_dir(job_result_url: str) -> str:\n", " return f\"/projects/my-private-bucket/{job_result_url.split(f'/{username}/')[1]}\"" ] }, { "cell_type": "markdown", "id": "cd05e656", "metadata": {}, "source": [ "If you have installed the `backoff` Python package, running the following cell\n", "will automatically repeatedly check your job's status until the job has\n", "been completed. Otherwise, you will have to manually repeatedly rerun the following\n", "cell until the output is either `'Succeeded'` or `'Failed'`." ] }, { "cell_type": "code", "execution_count": 14, "id": "1666e603", "metadata": { "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:backoff:Backing off wait_for_job(...) for 1.0s (Accepted)\n", "INFO:backoff:Backing off wait_for_job(...) for 50.7s (Accepted)\n", "INFO:backoff:Backing off wait_for_job(...) for 11.9s (Accepted)\n", "INFO:backoff:Backing off wait_for_job(...) for 111.0s (Accepted)\n", "INFO:backoff:Backing off wait_for_job(...) for 78.4s (Running)\n", "INFO:backoff:Backing off wait_for_job(...) for 37.8s (Running)\n" ] }, { "data": { "text/plain": [ "'Succeeded'" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "try:\n", " import backoff\n", "except:\n", " job_status = job_status_for(job_id)\n", "else:\n", " # Check job status every 2 minutes\n", " @backoff.on_predicate(\n", " backoff.constant,\n", " lambda status: status not in [\"Deleted\", \"Succeeded\", \"Failed\"],\n", " interval=120,\n", " )\n", " def wait_for_job(job_id: str) -> str:\n", " return job_status_for(job_id)\n", "\n", " job_status = wait_for_job(job_id)\n", "\n", "job_status" ] }, { "cell_type": "code", "execution_count": 15, "id": "e02e7e72", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Your subset results are in the file /projects/my-private-bucket/dps_output/gedi-subset/0.12.0/gedi-subset/2025/07/31/21/41/26/947077/gedi_subset.gpkg\n" ] } ], "source": [ "assert job_status == \"Succeeded\", (\n", " job_result_for(job_id)\n", " if job_status == \"Failed\"\n", " else f\"Job {job_id} has not yet completed ({job_status}). Rerun the prior cell.\"\n", ")\n", "\n", "output_url = job_result_for(job_id)\n", "output_dir = to_job_output_dir(output_url)\n", "output_file = f\"{output_dir}/gedi_subset.gpkg\"\n", "print(f\"Your subset results are in the file {output_file}\")" ] }, { "cell_type": "markdown", "id": "a9118ab0", "metadata": {}, "source": [ "## [Optional] Visually Verify the Results\n", "\n", "If you installed the `geopandas` Python package, you can visually verify the\n", "output file by running the following cell." ] }, { "cell_type": "code", "execution_count": 16, "id": "e5841278", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " filename agbd agbd_se \\\n", "0 GEDI04_A_2020076133303_O07134_02_T00054_02_002... 425.904724 3.443850 \n", "1 GEDI04_A_2020076133303_O07134_02_T00054_02_002... 70.760147 3.006401 \n", "2 GEDI04_A_2020076133303_O07134_02_T00054_02_002... 10.279377 2.986123 \n", "3 GEDI04_A_2020076133303_O07134_02_T00054_02_002... 108.709862 3.040855 \n", "4 GEDI04_A_2020076133303_O07134_02_T00054_02_002... 107.700874 3.039851 \n", "\n", " sensitivity geolocation/sensitivity_a2 elev_lowestmode \\\n", "0 0.952703 0.983446 4061.177002 \n", "1 0.958067 0.983591 4282.283203 \n", "2 0.952969 0.979552 4271.901855 \n", "3 0.952656 0.978301 4245.281738 \n", "4 0.957419 0.984516 4397.378418 \n", "\n", " geometry \n", "0 POINT (85.38437 28.03722) \n", "1 POINT (85.38864 28.04138) \n", "2 POINT (85.38903 28.04176) \n", "3 POINT (85.38943 28.04215) \n", "4 POINT (85.39292 28.04556) \n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "try:\n", " import geopandas as gpd\n", " import matplotlib.pyplot as plt\n", "except:\n", " print(\n", " \"If you wish to visually verify your output file, \"\n", " \"you must install the `geopandas` package.\"\n", " )\n", "else:\n", " gedi_gdf = gpd.read_file(output_file)\n", " print(gedi_gdf.head())\n", " sensitivity_colors = plt.colormaps.get_cmap(\"viridis_r\")\n", " gedi_gdf.plot(markersize = 0.1)" ] }, { "cell_type": "markdown", "id": "8b430bca", "metadata": {}, "source": [ "## Generate Contour Lines\n", "Create a `lat`, `lon` mesh grid with elevation as a depth parameter. As shown in the plot above, the lines don't seem smooth. So we can apply `linear` or `cubic` interpolation to smoothen those missing points." ] }, { "cell_type": "code", "execution_count": 17, "id": "11e757e5", "metadata": {}, "outputs": [], "source": [ "geometry = gedi_gdf[\"geometry\"]\n", "elevation=gedi_gdf[\"elev_lowestmode\"]" ] }, { "cell_type": "code", "execution_count": 18, "id": "1914ca69", "metadata": {}, "outputs": [], "source": [ "lon = geometry.x\n", "lat = geometry.y" ] }, { "cell_type": "code", "execution_count": 19, "id": "94c67a9f", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "\n", "x=np.linspace(min(lon), max(lon), 1000)\n", "y=np.linspace(min(lat), max(lat), 1000)" ] }, { "cell_type": "code", "execution_count": 20, "id": "efdcd30e", "metadata": {}, "outputs": [], "source": [ "from scipy.interpolate import griddata\n", "\n", "x_mesh, y_mesh = np.meshgrid(x,y)" ] }, { "cell_type": "markdown", "id": "84fd8e68", "metadata": {}, "source": [ "You may experiment with `nearest`, `linear`, and `cubic` interpolation methods to see which gives more smooth results." ] }, { "cell_type": "code", "execution_count": 21, "id": "a2608a7d", "metadata": {}, "outputs": [], "source": [ "#grid the elevation\n", "z_mesh = griddata((lon, lat), elevation, (x_mesh, y_mesh), method='linear')" ] }, { "cell_type": "code", "execution_count": 22, "id": "1555b065", "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "colors=['blue','royalblue', 'navy','pink', 'mediumpurple', 'darkorchid', 'plum', 'm', 'mediumvioletred', 'palevioletred', 'crimson',\n", " 'magenta','pink','red','yellow','orange', 'brown','green', 'darkgreen']\n", "levels=len(colors)\n", "contourf = plt.contourf(x_mesh, y_mesh, z_mesh, levels, alpha=0.5, colors=colors, linestyles='None', vmin=elevation.min(), vmax=elevation.max())" ] }, { "cell_type": "markdown", "id": "3b0826c9", "metadata": {}, "source": [ "![ContourPlot](../../_static/gedi_l4a_example_contour_plot.png)" ] }, { "cell_type": "markdown", "id": "75a69e8b", "metadata": {}, "source": [ "Now we need to plot this contour into an interactive map for better visualization." ] }, { "cell_type": "markdown", "id": "dab2f855", "metadata": {}, "source": [ "## Plot the Contour Lines in Folium\n", "You may need to install `geojsoncontour`, `mapclassify`, and `folium`, if you don't already have them installed.\n", "We need to convert this `contourf` into geoJSON format." ] }, { "cell_type": "code", "execution_count": 23, "id": "8b759afd", "metadata": {}, "outputs": [], "source": [ "import folium \n", "from folium import plugins\n", "import branca\n", "import geojsoncontour" ] }, { "cell_type": "code", "execution_count": 24, "id": "131ae23b", "metadata": {}, "outputs": [], "source": [ "geojson = geojsoncontour.contourf_to_geojson(\n", " contourf=contourf,\n", " min_angle_deg=3.0,\n", " ndigits=5,\n", " stroke_width=1,\n", " unit='ft',\n", " fill_opacity=0.1,\n", ")" ] }, { "cell_type": "code", "execution_count": 25, "id": "b7698fa7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#create map view\n", "m = folium.Map([lat.mean(), lon.mean()], zoom_start=12, tiles=\"OpenStreetMap\")\n", "\n", "folium.GeoJson(\n", " geojson,\n", " style_function=lambda x:{\n", " 'color': x['properties']['stroke'],\n", " 'weight': x['properties']['stroke-width'],\n", " 'fillColor': x['properties']['fill'],\n", " 'opacity': 0.5,\n", " }\n", ").add_to(m)\n", "\n", "cm = branca.colormap.LinearColormap(colors, vmin=elevation.min(), vmax=elevation.max()).to_step(levels)\n", "cm.caption='Elevation (in m)'\n", "m.add_child(cm)\n", "\n", "#legend\n", "plugins.Fullscreen(position='topright', force_separate_button=True).add_to(m)" ] }, { "cell_type": "code", "execution_count": null, "id": "923dbefa", "metadata": {}, "outputs": [], "source": [ "m" ] }, { "cell_type": "markdown", "id": "08b8981d", "metadata": {}, "source": [ "Now you have an interactive visualization of a contour plot." ] }, { "cell_type": "markdown", "id": "45c644c8", "metadata": {}, "source": [ "![ContourMAP](../../_static/gedi_l4a_example_folium_map.png)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.8" }, "vscode": { "interpreter": { "hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e" } } }, "nbformat": 4, "nbformat_minor": 5 }