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SMAPVEX19-22 Millbrook UAVSAR Mosaics V001

Metadata Updated: August 22, 2025

This data set consists of mosaicked Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) images corrected for terrain-flattened gamma. Data image files at three different polarization configurations were composited daily between April to July 2022 in the vicinity of Millbrook, New York during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign. The location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date January 13, 2025
Metadata Updated Date August 22, 2025

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date January 13, 2025
Metadata Updated Date August 22, 2025
Publisher NASA NSIDC DAAC
Maintainer
Identifier C3306692820-NSIDC_ECS
Data First Published 2022-04-28
Language en-US
Data Last Modified 2025-07-17
Category geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id db758505-d934-4b49-bec3-eb836932c928
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.5067/MD34FXP1NHMY
Metadata Type geospatial
Old Spatial -73.81 41.66 -73.42 42.05
Program Code 026:001
Source Datajson Identifier True
Source Hash ce6698d408089a466c7bbfd503da871869116d87a65ee84dfcfbc0b4d475b9b8
Source Schema Version 1.1
Spatial
Temporal 2022-04-28T00:00:00Z/2022-07-25T23:59:59.999Z

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