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Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010

OAR@ICRISAT

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Relation http://oar.icrisat.org/7640/
http://dx.doi.org/10.1016/j.isprsjprs.2014.02.007
10.1016/j.isprsjprs.2014.02.007
 
Title Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010
 
Creator Gumma, M K
Thenkabail, P S
Maunahan, A
Islam, S
Nelson, A
 
Subject Agriculture-Farming, Production, Technology, Economics
 
Description Rice is the most consumed staple food in the world and a key crop for food security. Much of the world’s rice is produced and consumed in Asia where cropping intensity is often greater than 100% (more than one crop per year), yet this intensity is not sufficiently represented in many land use products. Agricultural practices and investments vary by season due to the different challenges faced, such as drought, salinity, or flooding, and the different requirements such as varietal choice, water source, inputs, and crop establishment methods. Thus, spatial and temporal information on the seasonal extent of rice is an important input to decision making related to increased agricultural productivity and the sustainable use of limited natural resources. The goal of this study was to demonstrate that hyper temporal moderate-resolution imaging spectroradiometer (MODIS) data can be used to map the spatial distribution of the seasonal rice crop extent and area. The study was conducted in Bangladesh where rice can be cropped once, twice, or three times a year.
 
Publisher Elsevier
 
Date 2014
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
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Identifier http://oar.icrisat.org/7640/7/Mapping%20seasonal%20rice%20cropland%20extent%20and%20area%20in%20the%20high%20cropping.pdf
Gumma, M K and Thenkabail, P S and Maunahan, A and Islam, S and Nelson, A (2014) Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010. ISPRS Journal of Photogrammetry and Remote Sensing, 91. pp. 98-113. ISSN 0924-2716