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add darnah configs
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6 files changed

+175
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{
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"id": "darnah-flood",
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"type": "Collection",
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"links": [],
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"title": "False Color Pre and Post Flood",
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"assets": {
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"thumbnail": {
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"href": "https://thumbnails.openveda.cloud/darnah-flood-background.jpg",
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"type": "image/jpeg",
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"roles": [
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"thumbnail"
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],
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"title": "Thumbnail",
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"description": "Photo by Marwan Alfaituri (Reuters)](https://abcnews.go.com/International/casualties-libya-floods-avoided-world-meteorological-organization-chief/story?id=103200104) (Satellite imagery over Florida showing damage probability (Aerial view over the Wadi Darnah River post-flood in Derna, Libya on September 14, 2023)"
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}
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},
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"extent": {
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"spatial": {
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"bbox": [
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[
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22.063841231299286, 32.42935916114897, 23.256368419576482,
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33.43490918842431
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]
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]
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},
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"temporal": {
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"interval": [["2023-09-07 00:00:00+00", "2023-09-22 23:59:59+00"]]
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}
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},
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"license": "CC0-1.0",
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"providers": [
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{
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"url": "https://www.earthdata.nasa.gov/dashboard/",
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"name": "NASA VEDA",
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"roles": [
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"host"
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]
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}
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],
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"renders": {
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"dashboard": {
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"colormap_name": "magma",
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"resampling": "bilinear",
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"rescale": [
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[0,5000]
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],
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"bidx": [
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1
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],
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"assets": [
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"cog_default"
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],
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"title": "VEDA Dashboard Render Parameters"
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}
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},
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"description": "HLS False color using NIR, SWIR, and Red for the 2023 Darnah Flood.",
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"item_assets": {
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"cog_default": {
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"type": "image/tiff; application=geotiff; profile=cloud-optimized",
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"roles": ["data", "layer"],
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"title": "Default COG Layer",
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"description": "Cloud optimized default layer to display on map"
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}
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},
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"stac_version": "1.0.0",
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"stac_extensions": [
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"https://stac-extensions.github.io/render/v1.0.0/schema.json",
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"https://stac-extensions.github.io/item-assets/v1.0.0/schema.json"
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],
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"dashboard:is_periodic": true,
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"dashboard:time_density": "day"
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}
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{
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"id": "darnah-gpm-daily",
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"type": "Collection",
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"links": [],
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"title": "GPM IMERG data of 2023 Medicane Daniel",
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"assets": {
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"thumbnail": {
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"href": "https://thumbnails.openveda.cloud/darnah-flood-background.jpg",
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"type": "image/jpeg",
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"roles": [
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"thumbnail"
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],
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"title": "Thumbnail",
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"description": "Photo by Marwan Alfaituri (Reuters)](https://abcnews.go.com/International/casualties-libya-floods-avoided-world-meteorological-organization-chief/story?id=103200104) (Satellite imagery over Florida showing damage probability (Aerial view over the Wadi Darnah River post-flood in Derna, Libya on September 14, 2023)"
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}
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},
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"extent": {
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"spatial": {
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"bbox": [
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[
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-10.06113118213864, 14.912033716384059, 45.00559573438803,
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48.50902534245416
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]
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]
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},
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"temporal": {
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"interval": [["2023-09-04 00:00:00+00", "2023-09-16 00:00:00+00"]]
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}
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},
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"license": "CC0-1.0",
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"providers": [
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{
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"url": "https://www.earthdata.nasa.gov/dashboard/",
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"name": "NASA VEDA",
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"roles": [
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"host"
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]
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}
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],
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"renders": {
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"dashboard": {
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"colormap_name": "inferno",
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"nodata": 0,
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"resampling": "bilinear",
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"rescale": [
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[0.1,500]
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],
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"bidx": [
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1
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],
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"assets": [
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"cog_default"
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],
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"title": "VEDA Dashboard Render Parameters"
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}
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},
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"description": " GPM IMERG data taken daily and aggregated throughout the life of 2023 Medicane Daniel ",
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"item_assets": {
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"cog_default": {
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"type": "image/tiff; application=geotiff; profile=cloud-optimized",
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"roles": ["data", "layer"],
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"title": "Default COG Layer",
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"description": "Cloud optimized default layer to display on map"
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}
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},
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"stac_version": "1.0.0",
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"stac_extensions": [
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"https://stac-extensions.github.io/render/v1.0.0/schema.json",
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"https://stac-extensions.github.io/item-assets/v1.0.0/schema.json"
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],
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"dashboard:is_periodic": true,
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"dashboard:time_density": "day"
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}
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{
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"collection": "darnah-flood",
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"prefix": "darnah-flood/",
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"bucket": "veda-data-store",
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"filename_regex": "^(.*)Darnah_HLS.*.tif$",
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"discovery": "s3",
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"datetime_range": "day"
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}
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{
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"collection": "darnah-gpm-daily",
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"prefix": "darnah-gpm-daily/",
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"bucket": "veda-data-store",
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"filename_regex": "^(.*)Darnah_Flood_IMERG.*.tif$",
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"discovery": "s3",
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"datetime_range": "day"
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}
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{
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"origin_bucket": "veda-data-store-staging",
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"origin_prefix": "darnah",
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"target_bucket": "veda-data-store",
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"collection": "darnah-flood",
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"filename_regex": "^(.*)Darnah_HLS.*.tif$"
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}
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{
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"collection": "darnah-gpm-daily",
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"filename_regex": "^(.*)Darnah_Flood_IMERG.*.tif$",
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"origin_bucket": "veda-data-store-staging",
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"origin_prefix": "darnah_gpm",
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"target_bucket": "veda-data-store"
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}

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