Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data
Author:
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
Link
https://tandfonline.com/doi/pdf/10.1080/17538947.2016.1168489
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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