NASA-IMPACT / veda-data

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New Dataset: CYGNSS Surface Watermask (with lakes), UC Berkeley #41

Closed freitagb closed 9 months ago

freitagb commented 10 months 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-ucberkeley/

Size Estimate

219 MB

Number of Items

57

Description

The UC Berkeley team led by investigator Cynthia Gerlein-Safdi has developed a novel surface watermask 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 10 months ago

Collection json

{ "id": "cygnss-watermask-ucberkeley", "type": "Collection", "links": [ { "rel": "items", "type": "application/geo+json", "href": "https://staging-stac.delta-backend.com/collections/cygnss-watermask-ucberkeley/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-ucberkeley" } ], "title": "CYGNSS Surface Watermask (with lakes), UC Berkeley", "assets": null, "is_periodic": true, "time_density": "month", "extent": { "spatial": { "bbox": [ [ -180, -37.4050000, 180, 37.4050000 ] ] }, "temporal": { "interval": [ [ "2018-08-01 00:00:00+00", "2023-04-01 00:00:00+00" ] ] } }, "license": "CC-BY-NC-SA-1.0", "keywords": null, "providers": null, "summaries": { "datetime": [ "2018-08-01T00:00:00Z" ] }, "description": "The UC Berkeley team led by investigator Cynthia Gerlein-Safdi has developed a novel surface watermask product using CYGNSS observations. Information at the pixel-level is combined with topographic and othe information in a computer vision based algorithm to segment land and surface water classes.", "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": "month" }

slesaad commented 10 months ago

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