Add dataset collections config and discovery config Hurricane Helene

ingestion-data/collections/GoogleEarth/google-earth-monthly.json

@@ -0,0 +1,65 @@
+{
+    "id": "google-earth-monthly",
+    "dashboard:is_periodic": false,
+    "dashboard:time_interval": "P1M",
+    "description": "The Sentinel-1 mission comprises a constellation of two polar-orbiting satellites, Sentinel-1A and Sentinel-1B, which provide all-weather, day-and-night radar imaging for land and ocean surfaces, monitoring the marine environment, vegetation mapping, and other major applications. With multi-temporal analyses, remote sensing gives a unique perspective of how cities evolve. The key element for mapping rural to urban land use change is the ability to discriminate between rural uses (farming, pasture, forests) and urban use (residential, commercial, recreational). Remote sensing methods can be employed to classify types of land use in a practical, economical and repetitive fashion, over large areas.",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -125,
+                    -24,
+                    -66,
+                    49
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2020-09-14T00:00:00Z",
+                    "2025-09-26T23:00:00Z"
+                ]
+            ]
+        }
+    },
+    "item_assets": {
+        "fwDET": {
+            "description": "Flood Water Detection - Monthly composite of surface water extent derived from Google Earth Engine Sentinel-1 SAR data, identifying areas of standing water and flood inundation.",
+            "roles": [
+                "data",
+                "layer"
+            ],
+            "title": "Flood Water Detection",
+            "type": "image/tiff; application=geotiff; profile=cloud-optimized"
+        }
+    },
+    "license": "CC0-1.0",
+    "links": [],
+    "providers": [
+        {
+            "name": "NASA"
+        }
+    ],
+    "renders": {
+        "fwDET": {
+            "assets": [
+                "fwDET"
+            ],
+            "rescale": [
+                [
+                    0,
+                    20
+                ]
+            ]
+        }
+    },
+    "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",
+    "title": "Google Earth FwDET",
+    "type": "Collection",
+    "tenant": ["nasa-disasters"]
+}

ingestion-data/collections/IMERG/imerg-all-vars-daily.json

@@ -0,0 +1,65 @@
+{
+    "id": "imerg-all-vars-daily",
+    "dashboard:is_periodic": false,
+    "dashboard:time_interval": "P1D",
+    "description": "The Integrated Multi-satellitE Retrievals for GPM (IMERG) is a NASA precipitation product that combines observations from multiple satellites in the Global Precipitation Measurement (GPM) constellation to provide quasi-global precipitation estimates. IMERG provides spatially and temporally continuous precipitation data at high resolution (0.1 degree, approximately 10 km), making it valuable for disaster monitoring, flood forecasting, drought assessment, and water resource management. The algorithm merges precipitation estimates from passive microwave sensors aboard the GPM constellation satellites with infrared data from geostationary satellites, calibrated to the GPM Combined Radar-Radiometer Algorithm. IMERG produces three types of products: Early Run (4-hour latency), Late Run (14-hour latency), and Final Run (3.5-month latency), with the Final Run incorporating monthly gauge data for enhanced accuracy. This product is essential for tracking extreme precipitation events, supporting agricultural decision-making, and providing critical information for disaster preparedness and response operations.",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -125,
+                    -24,
+                    -66,
+                    49
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2020-09-14T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "item_assets": {
+        "total": {
+            "description": "Total daily precipitation accumulation derived from IMERG satellite observations, providing spatially continuous rainfall estimates at 0.1 degree resolution for flood monitoring and water resource assessment.",
+            "roles": [
+                "data",
+                "layer"
+            ],
+            "title": "Total Daily Precipitation",
+            "type": "image/tiff; application=geotiff; profile=cloud-optimized"
+        }
+    },
+    "license": "CC0-1.0",
+    "links": [],
+    "providers": [
+        {
+            "name": "NASA"
+        }
+    ],
+    "renders": {
+        "total": {
+            "assets": [
+                "total"
+            ],
+            "rescale": [
+                [
+                    0,
+                    30
+                ]
+            ]
+        }
+    },
+    "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",
+    "title": "IMERG All Variables Daily",
+    "type": "Collection",
+    "tenant": ["nasa-disasters"]
+}

ingestion-data/collections/IMERG/imerg-all-vars-monthly.json

@@ -0,0 +1,145 @@
+{
+    "id": "imerg-all-vars-monthly",
+    "dashboard:is_periodic": false,
+    "dashboard:time_interval": "P1M",
+    "description": "The Integrated Multi-satellitE Retrievals for GPM (IMERG) is a NASA precipitation product that combines observations from multiple satellites in the Global Precipitation Measurement (GPM) constellation to provide quasi-global precipitation estimates. This monthly collection includes precipitation statistics derived from daily IMERG data, providing essential information for climate monitoring, drought assessment, flood risk evaluation, and water resource management. The dataset includes total monthly precipitation accumulation, precipitation rankings, equivalent precipitation metrics, maximum 1-day rainfall totals, and total precipitable water vapor. These products support long-term climate analysis, agricultural planning, and hydrological modeling applications.",
+    "title": "IMERG All Variables Monthly",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -125,
+                    -24,
+                    -66,
+                    49
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2020-01-01T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "item_assets": {
+        "rank": {
+            "description": "Precipitation ranking indicating the percentile of monthly total precipitation compared to historical climatology for the same month.",
+            "roles": [
+                "data",
+                "layer"
+            ],
+            "title": "Precipitation Rank",
+            "type": "image/tiff; application=geotiff; profile=cloud-optimized"
+        },
+        "equiv": {
+            "description": "Equivalent precipitation metric providing normalized precipitation values for comparison across different regions and time periods.",
+            "roles": [
+                "data",
+                "layer"
+            ],
+            "title": "Equivalent Precipitation",
+            "type": "image/tiff; application=geotiff; profile=cloud-optimized"
+        },
+        "total": {
+            "description": "Total monthly precipitation accumulation derived from IMERG daily data, representing the sum of all precipitation for the month.",
+            "roles": [
+                "data",
+                "layer"
+            ],
+            "title": "Total Monthly Precipitation",
+            "type": "image/tiff; application=geotiff; profile=cloud-optimized"
+        },
+        "Rx1d": {
+            "description": "Maximum 1-day precipitation total during the month, identifying the wettest single day and useful for flood risk assessment.",
+            "roles": [
+                "data",
+                "layer"
+            ],
+            "title": "Maximum 1-Day Precipitation",
+            "type": "image/tiff; application=geotiff; profile=cloud-optimized"
+        },
+        "tqv": {
+            "description": "Total precipitable water vapor in the atmospheric column, indicating the amount of moisture available for precipitation.",
+            "roles": [
+                "data",
+                "layer"
+            ],
+            "title": "Total Precipitable Water Vapor",
+            "type": "image/tiff; application=geotiff; profile=cloud-optimized"
+        }
+    },
+    "license": "CC0-1.0",
+    "links": [],
+    "providers": [
+        {
+            "name": "NASA"
+        }
+    ],
+    "renders": {
+        "rank": {
+            "assets": [
+                "rank"
+            ],
+            "rescale": [
+                [
+                    -10,
+                    120
+                ]
+            ]
+        },
+        "equiv": {
+            "assets": [
+                "equiv"
+            ],
+            "rescale": [
+                [
+                    0,
+                    60
+                ]
+            ]
+        },
+        "total": {
+            "assets": [
+                "total"
+            ],
+            "rescale": [
+                [
+                    0,
+                    15
+                ]
+            ]
+        },
+        "Rx1d": {
+            "assets": [
+                "Rx1d"
+            ],
+            "rescale": [
+                [
+                    -10,
+                    120
+                ]
+            ]
+        },
+        "tqv": {
+            "assets": [
+                "tqv"
+            ],
+            "rescale": [
+                [
+                    0,
+                    75
+                ]
+            ]
+        }
+    },
+    "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"]
+}

ingestion-data/collections/Maxar/maxar-all-vars-monthly.json

@@ -0,0 +1,110 @@
+{
+    "id": "maxar-all-vars-monthly",
+    "dashboard:is_periodic": false,
+    "dashboard:time_interval": "P1M",
+    "description": "Maxar Technologies provides high-resolution commercial satellite imagery for disaster monitoring and response through its WorldView and GeoEye constellation. These optical satellites capture sub-meter resolution imagery that enables detailed damage assessment, infrastructure monitoring, and change detection before and after disaster events. The collection includes pre-event baseline imagery, post-event damage assessment imagery, and short-term analysis (STA) products that highlight changes between the two time periods. Maxar's rapid tasking capabilities and high spatial resolution make it invaluable for detailed disaster impact analysis, including building damage assessment, infrastructure evaluation, and humanitarian response planning. The imagery supports emergency managers, relief organizations, and government agencies in making informed decisions during critical disaster response operations.",
+    "extent": {
+        "spatial": {
+            "bbox": [
+                [
+                    -125,
+                    -24,
+                    -66,
+                    49
+                ]
+            ]
+        },
+        "temporal": {
+            "interval": [
+                [
+                    "2020-09-14T00:00:00Z",
+                    null
+                ]
+            ]
+        }
+    },
+    "item_assets": {
+        "preEvent": {
+            "description": "High-resolution satellite imagery captured before a disaster event, providing baseline conditions for comparison and damage assessment purposes.",
+            "roles": [
+                "data",
+                "layer"
+            ],
+            "title": "Pre-Event Imagery",
+            "type": "image/tiff; application=geotiff; profile=cloud-optimized"
+        },
+        "postEvent": {
+            "description": "High-resolution satellite imagery captured after a disaster event, showing current conditions for damage assessment and disaster impact analysis.",
+            "roles": [
+                "data",
+                "layer"
+            ],
+            "title": "Post-Event Imagery",
+            "type": "image/tiff; application=geotiff; profile=cloud-optimized"
+        },
+        "sta": {
+            "description": "Short-Term Analysis product highlighting changes between pre-event and post-event imagery, facilitating rapid identification of affected areas and damage assessment.",
+            "roles": [
+                "data",
+                "layer"
+            ],
+            "title": "Short-Term Analysis",
+            "type": "image/tiff; application=geotiff; profile=cloud-optimized"
+        }
+    },
+    "license": "CC0-1.0",
+    "links": [],
+    "providers": [
+        {
+            "name": "NASA"
+        }
+    ],
+    "renders": {
+        "preEvent": {
+            "assets": [
+                "preEvent"
+            ],
+            "bidx": [1,2,3],
+            "rescale": [
+                [
+                    0,
+                    255
+                ]
+            ],
+            "nodata": 0
+        },
+        "postEvent": {
+            "assets": [
+                "postEvent"
+            ],
+            "bidx": [1,2,3],
+            "rescale": [
+                [
+                    0,
+                    255
+                ]
+            ],
+            "nodata": 0
+        },
+        "sta": {
+            "assets": [
+                "sta"
+            ],
+            "rescale": [
+                [
+                    0,
+                    3
+                ]
+            ],
+            "nodata": -9999
+        }
+    },
+    "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",
+    "title": "Maxar All Variables Monthly",
+    "type": "Collection",
+    "tenant": ["nasa-disasters"]
+}