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dc.contributorMuhammad Abdullah, Hasanen_US
dc.contributorUddin Ahmed, Ziaen_US
dc.contributorIslam, Imranulen_US
dc.contributorFerdush, Jannatulen_US
dc.contributorGiashuddin Miah, Md.en_US
dc.contributorMain Uddin Miah, Md.en_US
dc.creatorRejouanul Islam, Md.en_US
dc.date2017-11-23en_US
dc.date.accessioned2019-04-09T08:16:57Z
dc.date.available2019-04-09T08:16:57Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationMd. Rejouanul Islam, Hasan Muhammad Abdullah, Zia Uddin Ahmed, Imranul Islam, Jannatul Ferdush, Md. Giashuddin Miah, Md. Main Uddin Miah. (23/11/2017). Monitoring the spatiotemporal dynamics of waterlogged area in southwestern Bangladesh using time series Landsat imagery. Remote Sensing Applications: Society and Environment, 9, pp. 52-59.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/9789
dc.description.abstractWaterlogging is becoming a major environmental problem and challenge for socio-economic development in the southwestern part of Bangladesh. In this study, the Satkhira district was selected as the study area to quantify waterlogging area delineation. To portray these dynamics, Landsat imageries from 1973, 1989, 1995, 2000, 2005, 2010 and 2015 were used. A training dataset was generated in ArcGIS, and a supervised classification was carried out using the random forest algorithm in the R Studio. The overall classification accuracy and kappa statistics was 95% and 91% respectively. Post-classification change detection comparisons were made in QGIS to calculate the transformations of the respective land cover areas in the study site. Areas of approximately 832, 3033, 13,562, 11,547, 27,162, 40,056, and 35,606 ha were observed as waterlogged in the above mentioned years, respectively, which indicates that the acreage of waterlogged areas increased approximately 43 fold from 1973 to 2015. Moreover, the Land Use Land Cover (LULC) change matrix showed that waterlogged area was increased from 5% to 12% during 2000–2005, further rose from 12% to 18% during 2005–2010 and decreased from 18% to 16% during 2010–2015. The most water logged sub-district was Debhata (38%) while Koloroa has the lowest (4%) waterlogged area. The study is an effort to reconstruct the history to understand the dynamics of the waterlogging as past ground monitoring information is absent. Regarding environmental degradation, the government and development agencies should consider these results a critical issue in the entire southwestern part of Bangladesh.en_US
dc.languageenen_US
dc.publisherElsevieren_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceRemote Sensing Applications: Society and Environment;9,(2017) Pagination 52,59en_US
dc.subjectrandom foresten_US
dc.subjectcoastalen_US
dc.subjectr studioen_US
dc.titleMonitoring the spatiotemporal dynamics of waterlogged area in southwestern Bangladesh using time series Landsat imageryen_US
dc.typeJournal Articleen_US
cg.subject.agrovocremote sensingen_US
cg.subject.agrovoclandsaten_US
cg.subject.agrovocwaterloggingen_US
cg.contributor.centerFrench National Research Institute for Agriculture, Food and Environment - INRAE Franceen_US
cg.contributor.centerBangabandhu Sheikh Mujibur Rahman Agricultural University - BSMRAUen_US
cg.contributor.centerUniversity at Buffalo - UBen_US
cg.contributor.crpCGIAR Research Program on Wheat - WHEATen_US
cg.contributor.funderInternational Maize and Wheat Improvement Center - CIMMYTen_US
cg.contributor.projectCRP WHEAT Phase IIen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-dateTimelessen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.countryBDen_US
cg.contacthasan.abdullah@bsmrau.edu.bden_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.rsase.2017.11.005en_US
dc.identifier.statusTimeless limited accessen_US


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