Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data

Author:

Gumma Murali Krishna1,Thenkabail Prasad S.2,Teluguntla Pardharsadhi2,Rao Mahesh N.3,Mohammed Irshad A.1,Whitbread Anthony M.1

Affiliation:

1. International Crops Research Institute for the Semi-Arid Tropics, Patancheru, India

2. U.S. Geological Survey (USGS), Western Geographic Science Center, Flagstaff, AZ, USA

3. Humboldt State University, Arcata, CA, USA

Funder

CGIAR Research Programs: Dryland Cereals

MEaSUREs

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Reference56 articles.

1. Alexandratos, N., and J. Bruinsma. 2012. World Agriculture Towards 2030/2050: The 2012 Revision. ESA Work. Pap 3. Accessed June 8, 2015. http://large.stanford.edu/courses/2014/ph240/yuan2/docs/ap106e.pdf.

2. An analysis of methodological and spatial differences in global cropping systems models and maps

3. Automatic corn-soybean classification using landsat MSS data. I. Near-harvest crop proportion estimation

4. BBS. 2011. Hand book of agriculture statistics, Bangladesh Bureau of Statistics. Accessed Janaury 20, 2012. http://www.bbs.gov.bd/webtestapplication/userfiles/image/AgricultureCensus/.

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