NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 South Asia, Afghanistan, Iran 30 m V001

Gumma, M K and Thenkabail, P S and Teluguntla, P and Oliphant, A and Xiong, J and Congalton, R G and Yadav, K and Smith, C (2017) NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 South Asia, Afghanistan, Iran 30 m V001. Monograph. NASA EOSDIS Land Processes DAAC, South Dakota, USA.

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Research Program : Innovation Systems for the Drylands (ISD)

Additional Information

The project was funded by the National Aeronautics and Space Administration (NASA) grant number: NNH13AV82I through its MEaSUREs (Making Earth System Data Records for Use in Research Envi-ronments) initiative. The United States Geological Survey (USGS) provided supplemental funding from other direct and indirect means through its Land Change Science (LCS), and Land Remote Sensing (LRS) programs as well as its Climate and Land Use Change Mission Area. The project was led by United States Geological Survey (USGS) in collaboration with NASA AMES, the University of New Hampshire (UNH), the California State University Monterey Bay (CSUMB), the University of Wiscon-sin (UW), NASA GSFC, and the Northern Arizona University. There were a number of International partners including The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT).

Abstract

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over South Asia, Afghanistan, and Iran for nominal year 2015 at 30 meter resolution (GFSAD30SAAFGIRCE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30SAAFGIRCE data product uses the pixel-based supervised classifier Random Forest (RF) to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD30SAAFGIRCE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10⁰ by 10⁰ area.

Item Type: Monograph (Monograph)
Divisions: Research Program : Innovation Systems for the Drylands (ISD)
CRP: UNSPECIFIED
Uncontrolled Keywords: Monitoring global croplands, Croplands, Algorithms, Image stratification, Cropland Areas
Subjects: Others > Remote Sensing
Others > GIS Techniques/Remote Sensing
Others > Food Security
Others > Indian Agriculture
Others > India
Depositing User: Mr Ramesh K
Date Deposited: 29 Nov 2018 11:02
Last Modified: 29 Nov 2018 12:12
URI: http://oar.icrisat.org/id/eprint/10977
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