eprintid: 7637
rev_number: 22
eprint_status: archive
userid: 128
dir: disk0/00/00/76/37
datestamp: 2014-03-17 09:58:19
lastmod: 2016-08-19 03:48:22
status_changed: 2014-03-17 09:58:19
type: article
metadata_visibility: show
contact_email: Library-ICRISAT@CGIAR.ORG
creators_name: Gumma, M K
creators_name: Mohanty, S
creators_name: Nelson, A
creators_name: Arnel, R
creators_name: Irshad Ahmed, M
creators_name: Das, S R
icrisatcreators_name: Gumma, M K
icrisatcreators_name: Irshad Ahmed, M
affiliation: ICRISAT(Patancheru)
affiliation: IRRI(Metro Manila)
affiliation: Orissa University of Agriculture and Technology(Odisha)
country: India
country: Philippines
title: Remote sensing based change analysis of rice environments in Odisha, India
ispublished: pub
subjects: s2.4
divisions: D5
crps: crp1.11
full_text_status: restricted
keywords: Rice cultivation; MODIS; Stress-tolerant varieties; Drought and submergence; Odisha
abstract: The rainfed rice-growing environment is perhaps one of the most vulnerable to water stress such as drought and floods. It is important to determine the spatial extent of the stress-prone areas to effectively and efficiently promote proper technologies (e.g., stress-tolerant varieties) to tackle the problem of sustainable food production. This study was conducted in Odisha state located in eastern India. Odisha is predominantly a rainfed rice ecosystem (71% rainfed and 29% canal irrigated during kharif-monsoon season), where rice is the major crop and staple food of the people. However, rice productivity in Odisha is one of the lowest in India and a significant decline (9%) in rice cultivated area was observed in 2002 (a drought year). The present study analyzed the temporal rice cropping pattern in various ecosystems and identified the stress-prone areas due to submergence (flooding) and water shortage. The spatial distribution of rice areas was mapped using MODIS (MOD09Q1) 250-m 8-day time-series data (2000–2010) and spectral matching techniques. The mapped rice areas were strongly correlated (R2 = 90%) with district-level statistics. Also the class accuracy based on field-plot data was 84.8%. The area under the rainfed rice ecosystem continues to dominate, recording the largest share among rice classes across all the years. The use of remote-sensing techniques is rapid, cost-effective, and reliable to monitor changes in rice cultivated area over long periods of time and estimate the reduction in area cultivated due to abiotic stress such as water stress and submergence. Agricultural research institutes and line departments in the government can use these techniques for better planning, regular monitoring of land-use changes, and dissemination of appropriate technologies.
date: 2015
date_type: published
publication: Journal of Enviroment Management
volume: 148
publisher: Elsevier Ltd.
pagerange: 31-41
id_number: 10.1016/j.jenvman.2013.11.039
refereed: TRUE
issn: 0301-4797
official_url: http://dx.doi.org/10.1016/j.jenvman.2013.11.039
related_url_url: http://scholar.google.co.in/scholar?as_q=%22Remote+sensing+based+change+analysis+of+rice+environments+in+Odisha%2C+India%22&as_epq=&as_oq=&as_eq=&as_occt=title&as_sauthors=&as_publication=&as_ylo=&as_yhi=&btnG=&hl=en&as_sdt=0%2C5
related_url_type: pub
funders: Bill and Melinda Gates Foundation
projects: Stress-Tolerant Rice for Africa and South Asia(STRASA)
citation:   Gumma, M K and Mohanty, S and Nelson, A and Arnel, R and Irshad Ahmed, M and Das, S R  (2015) Remote sensing based change analysis of rice environments in Odisha, India.  Journal of Enviroment Management, 148.  pp. 31-41.  ISSN 0301-4797     
document_url: http://oar.icrisat.org/7637/6/JEM_Odisha_rice_gumma_et.al.pdf
document_url: http://oar.icrisat.org/7637/12/01_JEM_Odisha_stressprone%20areas_Gumma2015_low.pdf