Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security-Reference-Cited by-同舟云学术

Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security

Published:2022-07-13 Issue:1 Volume:59 Page:1048-1077
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Gumma Murali Krishna¹^ORCID,Thenkabail Prasad S²^ORCID,Panjala Pranay³^ORCID,Teluguntla Pardhasaradhi⁴^ORCID,Yamano Takashi⁵^ORCID,Mohammed Ismail³^ORCID

Affiliation:

1. Geospatial Sciences and Big Data, International Crops Research Institute for the Semi-Arid Tropics, Niamey, Niger

2. S. Geological Survey, Western Geographic Science CenterU., Arizona, Flagstaff, USA

3. Geospatial Sciences and Big Data, International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India

4. Bay Area Environmental Research Institute (BAERI), CA, USA

5. Principal Scientist, Department of Economic Research and Regional Cooperation, Asian Development Bank (ADB), Manila, Philippines

Funder

U.S. Geological Survey

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2088651

Reference112 articles.

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2. Aid. 2021. “Agricutlrue Informatics Division: Crop Production Satatistics Inforamtion Systems.” accessed 15 january 2021. https://aps.Dac.Gov.In/apy/index.Htm

3. Alexandratos, N., and J. Bruinsma. 2012. “World Agriculture Towards 2030/2050: The 2012 Revision.” ESA Work. Pap, 3. accessed 08 june 2015 http://large.Stanford.Edu/courses/2014/ph240/yuan2/docs/ap106e.Pdf

4. Global distribution of natural freshwater wetlands and rice paddies, their net primary productivity, seasonality and possible methane emissions

5. Integrated and Sustainable Management of Post-industrial Coasts

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