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Original file line number Diff line number Diff line change
@@ -0,0 +1,82 @@
{
"id": "VIIRS_SNPP_DayNightBand_AtSensor_M15",
"dashboard:is_periodic": true,
"dashboard:time_density": "day",
"dashboard:time_interval": "P1D",
"description": "Black Marble Nighttime Blue/Yellow Composite derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) sensor aboard the Suomi NPP satellite. This visualization layer provides at-sensor radiance measurements in a blue/yellow composite, capturing Earth's nighttime illumination patterns including artificial lights, auroras, and other nocturnal phenomena. The Day/Night Band is a low-light imaging sensor capable of detecting visible and near-infrared light wavelengths during nighttime conditions.",
"extent": {
"spatial": {
"bbox": [
[
-180,
-90,
180,
90
]
]
},
"temporal": {
"interval": [
[
"2012-01-19T00:00:00Z",
null
]
]
}
},
"license": "CC0-1.0",
"links": [
{
"href": "https://gibs{s}.earthdata.nasa.gov/wmts/epsg3857/best/wmts.cgi",
"rel": "wmts",
"type": "image/png",
"title": "Visualized through a WMTS",
"href:servers": ["-a", "-b"],
"wmts:dimensions": {
"STYLE": "default"
},
"wmts:layer": [
"VIIRS_SNPP_DayNightBand_AtSensor_M15"
]
}
],
"product_level": "L1",
"providers": [
{
"name": "NASA Global Imagery Browse Services (GIBS)",
"roles": [
"host"
],
"url": "https://nasa-gibs.github.io/gibs-api-docs/gis-usage/"
},
{
"name": "NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC)",
"roles": [
"producer",
"processor"
],
"url": "https://www.earthdata.nasa.gov/centers/laads-daac"
},
{
"name": "NASA's Earth Science Data and Information System (ESDIS)",
"roles": [
"licensor"
],
"url": "https://www.earthdata.nasa.gov/about/esdis"
}
],
"stac_extensions": [
"https://stac-extensions.github.io/web-map-links/v1.2.0/schema.json"
],
"stac_version": "1.0.0",
"temporal_frequency": "daily",
"tilematrixset": "GoogleMapsCompatible_Level8",
"time_density": "day",
"time_interval": "P1D",
"title": "Black Marble Nighttime Blue/Yellow Composite (Day/Night Band, VIIRS, Suomi NPP)",
"type": "Collection",
"units": "W/cm^2/sr",
"keywords": ["nighttime lights", "VIIRS", "DNB", "Black Marble", "at-sensor radiance"],
"tenant": ["nasa-disasters"],
"summaries": {}
}
196 changes: 196 additions & 0 deletions ingestion-data/collections/landsat/landsat-all-vars-daily.json
Original file line number Diff line number Diff line change
@@ -0,0 +1,196 @@
{
"id": "landsat-all-vars-daily",
"dashboard:is_periodic": false,
"dashboard:time_interval": "P1D",
"description": "NASA Landsat satellites provide continuous Earth observations since 1972, capturing multispectral imagery across visible and infrared wavelengths. This collection includes multiple visualization products: true and natural color composites, color infrared for vegetation analysis, and calculated indices like NDVI for vegetation health, NBR for burn severity, and MNDWI for water detection. These products support environmental monitoring, disaster response, agriculture, and land cover mapping.",
"title": "Landsat - All Variables",
"extent": {
"spatial": {
"bbox": [
[
-125,
24,
-66,
49
]
]
},
"temporal": {
"interval": [
[
"2020-01-01T00:00:00Z",
null
]
]
}
},
"item_assets": {
"nbr": {
"description": "The Normalized Burn Ratio (NBR) is a satellite-based index, primarily using Landsat imagery, that identifies burned areas and quantifies the severity of a fire. It is calculated using a ratio of near-infrared (NIR) and shortwave infrared (SWIR) bands, which are affected differently by fire, with higher NBR values indicating less damage and lower values indicating more severe burns. The difference between the pre-fire and post-fire NBR, known as the differenced NBR (dNBR), is used to map burn severity.",
"roles": [
"data",
"layer"
],
"title": "Normalized Burn Ratio",
"type": "image/tiff; application=geotiff; profile=cloud-optimized"
},
"colorInfrared": {
"description": "False-color composite using near-infrared, red, and green bands. Vegetation appears red, water dark, and urban areas gray-blue.",
"roles": [
"data",
"layer"
],
"title": "Color Infrared",
"type": "image/tiff; application=geotiff; profile=cloud-optimized"
},
"mndwi": {
"description": "Water detection index using green and shortwave infrared bands. Enhances open water features and suppresses built-up areas.",
"roles": [
"data",
"layer"
],
"title": "Modified Normalized Difference Water Index - Landsat 8",
"type": "image/tiff; application=geotiff; profile=cloud-optimized"
},
"naturalColor": {
"description": "Color-balanced composite using visible bands (red, green, blue) to approximate natural human vision of the landscape.",
"roles": [
"data",
"layer"
],
"title": "Natural Color",
"type": "image/tiff; application=geotiff; profile=cloud-optimized"
},
"ndvi": {
"description": "Vegetation health index comparing red and near-infrared reflectance. Higher values indicate healthier, denser vegetation.",
"roles": [
"data",
"layer"
],
"title": "Normalized Difference Vegetation Index - Landsat 8",
"type": "image/tiff; application=geotiff; profile=cloud-optimized"
},
"tropics": {
"description": "Tropics",
"roles": [
"data",
"layer"
],
"title": "Tropics",
"type": "image/tiff; application=geotiff; profile=cloud-optimized"
},
"trueColor": {
"description": "Standard RGB composite using visible bands (red, green, blue) without color balancing adjustments.",
"roles": [
"data",
"layer"
],
"title": "True Color",
"type": "image/tiff; application=geotiff; profile=cloud-optimized"
}
},
"license": "CC0-1.0",
"links": [],
"providers": [
{
"name": "NASA"
}
],
"renders": {
"nbr": {
"bidx": [1,2,3],
"assets": [
"nbr"
],
"rescale": [
[
-1,
1
]
],
"nodata": -9999
},
"colorInfrared": {
"bidx": [1,2,3],
"assets": [
"colorInfrared"
],
"rescale": [
[
0,
255
]
],
"nodata": 0
},
"mndwi": {
"assets": [
"mndwi"
],
"rescale": [
[
-1,
1
]
],
"nodata": -9999.0
},
"naturalColor": {
"bidx": [1,2,3],
"assets": [
"naturalColor"
],
"rescale": [
[
0,
255
]
],
"nodata": 0
},
"ndvi": {
"assets": [
"ndvi"
],
"rescale": [
[
-1,
1
]
],
"nodata": -9999.0
},
"tropics": {
"assets": [
"tropics"
],
"rescale": [
[
0,
300
]
],
"nodata": -9999.0
},
"trueColor": {
"bidx": [1,2,3],
"assets": [
"trueColor"
],
"rescale": [
[
0,
255
]
],
"nodata": 0
}
},
"stac_extensions": [
"https://stac-extensions.github.io/render/v1.0.0/schema.json",
"https://stac-extensions.github.io/item-assets/v1.0.0/schema.json"
],
"stac_version": "1.0.0",
"type": "Collection",
"tenant": ["nasa-disasters"]
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,87 @@
{
"id": "landsat-colorIR",
"dashboard:is_periodic": false,
"dashboard:time_interval": "day",
"description": "NASA Landsat color infrared imagery is created by combining satellite data from the near-infrared, red, and green bands. In this false-color composite, healthy vegetation appears bright red because plants strongly reflect near-infrared light, while water looks dark and urban areas appear gray or blue. This visualization helps scientists assess plant health, map land cover, and monitor changes in ecosystems. It’s widely used for agriculture, forestry, and environmental monitoring.",
"title": "Landsat Color Infrared",
"extent": {
"spatial": {
"bbox": [
[
-125,
24,
-66,
49
]
]
},
"temporal": {
"interval": [
[
"2020-01-01T00:00:00Z",
"null"
]
]
}
},
"item_assets": {
"cir-ls08": {
"description": "Landsat_CIR_LS8",
"roles": [
"data",
"layer"
],
"title": "Landsat_CIR_LS8",
"type": "image/tiff; application=geotiff; profile=cloud-optimized"
},
"cir-ls09": {
"description": "Landsat_CIR_LS9",
"roles": [
"data",
"layer"
],
"title": "Landsat_CIR_LS9",
"type": "image/tiff; application=geotiff; profile=cloud-optimized"
}
},
"license": "CC0-1.0",
"links": [],
"providers": [
{
"name": "NASA"
}
],
"renders": {
"cir-ls08": {
"bidx": [1,2,3],
"assets": [
"cir-ls08"
],
"rescale": [
[
0,
255
]
]
},
"cir-ls09": {
"bidx": [1,2,3],
"assets": [
"cir-ls09"
],
"rescale": [
[
0,
255
]
]
}
},
"stac_extensions": [
"https://stac-extensions.github.io/render/v1.0.0/schema.json",
"https://stac-extensions.github.io/item-assets/v1.0.0/schema.json"
],
"stac_version": "1.0.0",
"type": "Collection",
"tenant": ["nasa-disasters"]
}
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