NASA-IMPACT / veda-data

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New Dataset: CYGNSS Surface Water Inundation Fractiion, UCAR/CU #40

Closed freitagb closed 1 year ago

freitagb commented 1 year ago

Contact Details

brian.m.freitag@nasa.gov

URL/DOI

No response

Data License Identifier

CC-BY-NC-SA-1.0

Data Location

s3://veda-data-store-staging/cygnss-watermask-ucar/

Size Estimate

4 GB

Number of Items

1929

Description

The UCAR/CU team led by investigator Clara Chew (clara@muonspace.com) has developed a surface water inundation fraction product using CYGNSS observations.

Collection Creation Notebook

No response

Item Creation Notebook

No response

Checklist

Any additional info you think is relevant, possibly including spatial or temporal subset if applicable?

No response

To Do

freitagb commented 1 year ago

Collection json

{ "id": "cygnss-watermask-ucar", "type": "Collection", "links": [ { "rel": "items", "type": "application/geo+json", "href": "https://staging-stac.delta-backend.com/collections/cygnss-watermask-ucar/items" }, { "rel": "parent", "type": "application/json", "href": "https://staging-stac.delta-backend.com/" }, { "rel": "root", "type": "application/json", "href": "https://staging-stac.delta-backend.com/" }, { "rel": "self", "type": "application/json", "href": "https://staging-stac.delta-backend.com/collections/cygnss-watermask-ucar" } ], "title": "CYGNSS Surface Water Inundation Fractiion, UCAR/CU", "assets": null, "is_periodic": true, "time_density": "day", "extent": { "spatial": { "bbox": [ [ -180, -40.01145939, 180, 40.01145939 ] ] }, "temporal": { "interval": [ [ "2017-03-20 00:00:00+00", "2022-06-30 00:00:00+00" ] ] } }, "license": "CC-BY-NC-SA-1.0", "keywords": null, "providers": null, "summaries": { "datetime": [ "2017-03-20T00:00:00Z" ] }, "description": "The UCAR/CU team led by investigator Clara Chew (clara@muonspace.com) has developed a surface water inundation fraction product using CYGNSS observations. Reference: Clara Chew, Eric Small, Hannah Huelsing, Flooding and inundation maps using interpolated CYGNSS reflectivity observations, Remote Sensing of Environment, Volume 293, 2023, 113598, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2023.113598.", "item_assets": { "cog_default": { "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data", "layer" ], "title": "Default COG Layer", "description": "Cloud optimized default layer to display on map" } }, "stac_version": "1.0.0", "stac_extensions": null, "dashboard:is_periodic": true, "dashboard:time_density": "day" }

slesaad commented 1 year ago

https://github.com/NASA-IMPACT/veda-data/pull/51