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added datasets & updates
- added NOAA NGS Emergency Response Imagery
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‎awesome-gee-catalog-examples.zip‎

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‎awesome-gee-catalog-examples/agriculture-vegetation-forestry/ICESAT2-CANOPY-HEIGHT-CONUS‎

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// Load ICESAT CHM (Canopy Height Model) dataset
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var imageCollection = ee.ImageCollection("projects/sat-io/open-datasets/ICESAT/CHM_CONUS");
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// Get the first image to inspect properties
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var firstImage = imageCollection.first();
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// Print native resolution information
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print('Dataset Information:', {
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'Band Names': firstImage.bandNames(),
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'Projection': firstImage.projection(),
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'Native Resolution (meters)': firstImage.projection().nominalScale(),
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'Image Count': imageCollection.size()
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});
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// Create mosaic from collection
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var chmMosaic = imageCollection.mosaic();
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// Apply scale and offset
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var scale = 0.1;
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var offset = 0;
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var chmScaled = chmMosaic.multiply(scale).add(offset);
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// Define color palette (green scale for canopy height)
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var palette = [
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"#ceecc7", "#aedea7", "#88cd86",
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"#5fb96b", "#37a055", "#1d843f", "#00682a", "#00441b"
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];
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// Visualization parameters with 0-30m stretch
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var visParams = {
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min: 0,
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max: 30,
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palette: palette
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};
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// Add layer to map
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Map.addLayer(chmScaled, visParams, 'Canopy Height Model');
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// Center map on the data
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Map.setCenter(-99.75, 39.73,4)
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// Add a legend with title
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var legend = ui.Panel({
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style: {
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position: 'bottom-left',
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padding: '8px 15px'
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}
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});
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var legendTitle = ui.Label({
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value: 'Canopy Height (m)',
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style: {fontWeight: 'bold', fontSize: '14px', margin: '0 0 4px 0'}
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});
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legend.add(legendTitle);
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// Create horizontal continuous color bar
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var lon = ee.Image.pixelLonLat().select('latitude');
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var gradient = lon.multiply((palette.length - 1) / 180.0).add(palette.length / 2);
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var legendImage = gradient.visualize({min: 0, max: palette.length - 1, palette: palette});
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// Create thumbnail for the legend
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var thumbnail = ui.Thumbnail({
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image: legendImage,
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params: {bbox: [0, 0, 1, 0.1], dimensions: '200x20'},
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style: {stretch: 'horizontal', margin: '0px 8px'}
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});
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legend.add(thumbnail);
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// Add min and max labels
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var labelPanel = ui.Panel({
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widgets: [
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ui.Label('0 m', {margin: '4px 8px', fontSize: '12px'}),
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ui.Label('30 m', {margin: '4px 8px', fontSize: '12px', textAlign: 'right', stretch: 'horizontal'})
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],
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layout: ui.Panel.Layout.Flow('horizontal')
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});
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legend.add(labelPanel);
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Map.add(legend);
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var snazzy = require("users/aazuspan/snazzy:styles");
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snazzy.addStyle("https://snazzymaps.com/style/15/subtle-grayscale", "Greyscale");

‎awesome-gee-catalog-examples/global-events-layers/NOAA-NGS-ERI-IMAGERY‎

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// NOAA NGS Emergency Response Imagery - Hurricane Melissa
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// 15cm aerial resolution, 8-bit RGB imagery
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// Dataset: Hurricane Melissa 2025 - Jamaica
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// Load the image collection
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var dataset = ee.ImageCollection('projects/sat-io/open-datasets/NOAA_EVENTS/2025_HURRICANE_MELISSA');
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// Select RGB bands (ignore b4 alpha band)
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var collection = dataset.select(['b1', 'b2', 'b3']);
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print('Total Images:', collection.size());
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// RGB visualization parameters
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var rgbVis = {
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min: 0,
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max: 255,
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bands: ['b1', 'b2', 'b3']
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};
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// Center on the collection
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Map.setCenter(-77.357, 18.1256, 9);
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// Function to add date property
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function addDateProperty(image) {
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var date = ee.Date(image.get('system:time_start'));
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var dateString = date.format('YYYY-MM-dd');
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return image.set('date', dateString);
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}
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var collectionWithDates = collection.map(addDateProperty);
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// Get unique dates
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var dates = collectionWithDates.aggregate_array('date').distinct().sort();
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print('Acquisition Dates:', dates);
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// Add one layer for each date
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dates.evaluate(function(dateList) {
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dateList.forEach(function(date) {
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var dailyImages = collectionWithDates.filter(ee.Filter.eq('date', date));
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var mosaic = dailyImages.mosaic();
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dailyImages.size().evaluate(function(count) {
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Map.addLayer(mosaic, rgbVis, date + ' (' + count + ' images)');
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});
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});
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});
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var snazzy = require("users/aazuspan/snazzy:styles");
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snazzy.addStyle("https://snazzymaps.com/style/15/subtle-grayscale", "Greyscale");

‎awesome-gee-catalog-examples/global-utilities-assets-amenities/GLOBAL-RENEWABLES-WATCH‎

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// ===================================================================
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// Global Renewables Watch - Wind and Solar Energy Visualization
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// Dataset: Microsoft AI for Good & The Nature Conservancy
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// ===================================================================
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// Load the datasets
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var wind = ee.FeatureCollection("projects/sat-io/open-datasets/GRW/WIND_V1");
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var solar = ee.FeatureCollection("projects/sat-io/open-datasets/GRW/SOLAR_V1");
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// Print dataset information
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print('Wind Sample Property Names:', wind.first().propertyNames());
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print('Solar Sample Property Names:', solar.first().propertyNames());
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// Add layers to map
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Map.addLayer(wind, {color:'#00e5ff'}, 'Wind Turbines', true, 0.6);
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Map.addLayer(solar, {color: '#ff9100'}, 'Solar Installations', true);
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// Create a chart showing growth over time (approximate based on construction year)
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var windChart = ui.Chart.feature.histogram({
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features: wind,
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property: 'construction_year'
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}).setOptions({
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title: 'Wind Turbine Construction Timeline',
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hAxis: {title: 'Construction Date'},
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vAxis: {title: 'Number of Turbines'},
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colors: ['#00f5ff']
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});
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var solarChart = ui.Chart.feature.histogram({
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features: solar,
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property: 'construction_year'
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}).setOptions({
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title: 'Solar Installation Construction Timeline',
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hAxis: {title: 'Construction Date'},
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vAxis: {title: 'Number of Installations'},
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colors: ['#ffd700']
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});
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print(windChart);
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print(solarChart);
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// ===================================================================
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// MAP SETTINGS
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// ===================================================================
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// Center on global view
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Map.setCenter(-6.0242, 36.5312, 8);
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// Add layer control
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Map.setControlVisibility({all: true});
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// Create legend
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var legend = ui.Panel({
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style: {
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position: 'bottom-left',
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padding: '8px 15px',
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backgroundColor: 'white'
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}
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});
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var legendTitle = ui.Label({
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value: 'Global Renewables Watch',
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style: {
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fontWeight: 'bold',
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fontSize: '16px',
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margin: '0 0 4px 0'
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}
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});
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var windLegend = ui.Label({
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value: '● Wind Turbines ('+wind.size().getInfo().toLocaleString()+')',
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style: {color: '#00e5ff', margin: '2px 0'}
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});
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var solarLegend = ui.Label({
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value: '■ Solar Installations ('+solar.size().getInfo().toLocaleString()+')',
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style: {color: '#ff9100', margin: '2px 0'}
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});
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var dataInfo = ui.Label({
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value: 'Data: 2017 Q4 - 2024 Q2',
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style: {fontSize: '11px', color: '#666', margin: '4px 0 0 0'}
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});
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legend.add(legendTitle);
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legend.add(windLegend);
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legend.add(solarLegend);
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legend.add(dataInfo);
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Map.add(legend);
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var snazzy = require("users/aazuspan/snazzy:styles");
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snazzy.addStyle("https://snazzymaps.com/style/38/shades-of-grey", "Greyscale");

‎community_datasets.json‎

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"thematic_group": "Global Events Layers",
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"thumbnail": "https://gee-community-catalog.org/thumbnails/maxar_opendata.png"
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},
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{
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"title": "NOAA NGS Emergency Response Imagery: Hurricane Melissa 2025",
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"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/NOAA-NGS-ERI-IMAGERY",
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"type": "image_collection",
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"id": "projects/sat-io/open-datasets/NOAA_EVENTS/2025_HURRICANE_MELISSA",
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"provider": "NOAA National Geodetic Survey",
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"tags": "Emergency Response, Hurricane, Aerial Imagery, Natural Disasters, NOAA, NGS, Coastal Zones, Jamaica, Caribbean",
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"license": "Creative Commons Zero v1.0 Universal",
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"docs": "https://gee-community-catalog.org/projects/noaa_ngs_eri/",
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"thematic_group": "Global Events Layers",
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"thumbnail": "https://gee-community-catalog.org/thumbnails/noaa_ngs_eri.png"
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},
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{
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"title": "OpenBuildingMap Global Building Footprints with Semantic Information Sample Grid",
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"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/OPEN-BUILDING-MAP",

‎docs/changelog.md‎

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#### updated 2025-12-14
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- Added [ICESat-2 Derived Canopy Height Model (IS2CHM](https://gee-community-catalog.org/projects/is2chm/)
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- Added [NOAA NGS Emergency Response Imagery](https://gee-community-catalog.org/projects/noaa_ngs_eri)
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- Updated [TIGER Roads Time Series now includes 2009-2025](https://gee-community-catalog.org/projects/tiger_roads)
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- Updated Weekly updates to [USDM drought monitor](https://gee-community-catalog.org/projects/usdm/)
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‎docs/images/noaa_ngs_eri.gif‎

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‎docs/projects/noaa_ngs_eri.md‎

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# NOAA NGS Emergency Response Imagery
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The NOAA National Geodetic Survey (NGS) Remote Sensing Division operates the Emergency Response Imagery (ERI) Program to rapidly acquire airborne imagery following natural disasters. Missions are prioritized to collect time-sensitive data over impacted coastal zones to support response, recovery, and situational awareness. Imagery is collected as soon as weather and flight conditions permit and released publicly as quickly as possible.
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This aerial imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. The aerial imagery primarily supports NOAA interests including safety of navigation, HAZMAT and marine debris impacts, and coastal zone management activities. The data are not intended for mapping, charting, or navigation and are not suitable for litigation. The imagery is also used for research and development of airborne digital imagery standards.
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#### Hurricane Melissa (2025)
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Aerial imagery was acquired following Hurricane Melissa in targeted areas in Jamaica. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired using a Digital Sensor System (DSS) version 6.
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#### Sample Dataset Details (Hurricane Melissa)
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<center>
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| **Parameter** | **Details** |
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|------------------------------|--------------------------------------------------|
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| **Sensor** | Digital Sensor System (DSS) Version 6 |
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| **Platform** | Airplane |
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| **Spectral Information** | Natural color (RGB) |
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| **Ground Sample Distance** | Approximately 15–30 cm |
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| **Image Format** | 8-bit RGB |
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| **Image Tile Size** | Approximately 2.5 km by 2.5 km |
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| **Horizontal Accuracy** | Estimated 3–5 meters (minimal topographic relief)|
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| **Temporal Coverage** | 31 October 2025 - 6 November 2025 |
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</center>
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#### Citation
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```
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National Geodetic Survey, 2025: 2025 NOAA NGS Emergency Response Imagery: Hurricane Melissa.
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https://www.fisheries.noaa.gov/inport/item/78480
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```
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#### Use Constraints
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Users should be aware that temporal changes may have occurred since data collection. The dataset may not represent current ground conditions and should not be used for critical applications or litigation.
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![IS2CHM](../images/noaa_ngs_eri.gif)
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#### Earth Engine Snippet
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```js
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// Load the image collection
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var dataset = ee.ImageCollection('projects/sat-io/open-datasets/NOAA_EVENTS/2025_HURRICANE_MELISSA');
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// Select RGB bands (ignore b4 alpha band)
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var collection = dataset.select(['b1', 'b2', 'b3']);
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print('Total Images:', collection.size());
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// RGB visualization parameters
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var rgbVis = {
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min: 0,
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max: 255,
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bands: ['b1', 'b2', 'b3']
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};
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// Center on the collection
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Map.setCenter(-77.357, 18.1256, 9);
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// Function to add date property
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function addDateProperty(image) {
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var date = ee.Date(image.get('system:time_start'));
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var dateString = date.format('YYYY-MM-dd');
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return image.set('date', dateString);
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}
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var collectionWithDates = collection.map(addDateProperty);
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// Get unique dates
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var dates = collectionWithDates.aggregate_array('date').distinct().sort();
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print('Acquisition Dates:', dates);
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// Add one layer for each date
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dates.evaluate(function(dateList) {
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dateList.forEach(function(date) {
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var dailyImages = collectionWithDates.filter(ee.Filter.eq('date', date));
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var mosaic = dailyImages.mosaic();
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dailyImages.size().evaluate(function(count) {
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Map.addLayer(mosaic, rgbVis, date + ' (' + count + ' images)');
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});
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});
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});
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```
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Sample Code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/NOAA-NGS-ERI-IMAGERY
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#### Additional Event Imagery
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More emergency response imagery from other events will be continuously added to the NOAA_EVENTS folder. To discover all available event collections, you can list the assets programmatically
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```js
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// List all available event imagery collections
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var collections = ee.data.listAssets("projects/sat-io/open-datasets/NOAA_EVENTS");
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print(collections['assets']);
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```
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This will return all hurricane and disaster event imagery datasets currently available in the collection.
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#### License
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These data were produced by NOAA and are not subject to copyright protection in the United States. NOAA waives any potential copyright and related rights worldwide under the Creative Commons Zero 1.0 Universal Public Domain Dedication (CC0-1.0).
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Keywords: Emergency Response, Hurricane, Aerial Imagery, Natural Disasters, NOAA, NGS, Coastal Zones, Jamaica, Caribbean
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Provided by: NOAA National Geodetic Survey
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Curated in GEE by: Samapriya Roy
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Last updated: 2025-12-15

‎docs/thumbnails/noaa_ngs_eri.png‎

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‎mkdocs.yml‎

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- "Global Events Layers":
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- Global large flood events (1985-2016): projects/flood.md
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- Global Landslide Catalog (1970-2019): projects/landslide.md
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- NOAA NGS Emergency Response Imagery: projects/noaa_ngs_eri.md
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- MAXAR Open Data Events: projects/maxar_opendata.md
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- Wyvern Open Data: projects/wyvern.md
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- Planet Tanager Open Data: projects/tanager.md

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