Seasonal land cover changes and its effects on essential services of haor and non-haor areas of Kishoreganj district, Bangladesh

Najmun Nahar (), Neegar Sultana () and Johni Miah ()
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Najmun Nahar: Jagannath University
Neegar Sultana: Jagannath University
Johni Miah: Applied EArth Observation and Geoanalysis of the Living Environment (EAGLE), Institute of Geography and Geology at the University of Würzburg, led by the Department of Remote Sensing in collaboration with the Earth Observation Center at the German Aerospace Center (DLR-EOC)

Asia-Pacific Journal of Regional Science, 2018, vol. 2, issue 2, No 8, 399-429

Abstract: Abstract The study examines the seasonal land cover changes (SLCC) and its effects on essential services of haor and non-haor areas of Kishoreganj district. SLCC is a regular event of this district, particularly in haors areas which are large bowl-shaped depressions and seasonal wetlands where water is covered for 6 months in a year. Both quantitative and qualitative approaches were followed in this study. SLCC is illustrated using maximum likelihood classification (MCL) by ArcGIS and integration of other remote sensing softwares (Erdas, Envi and Geomatica for image processing). Data were compiled from both secondary and primary sources. Secondary sources included a detailed review of published and unpublished documents and primary sources included field survey and interview survey like questionnaire survey, focus group interviewing (FGI) and key informants interview (KII). Based on questionnaire survey, bivariate analysis is performed and Pearson’s Chi square test is used to investigate whether seasonal effect exists on essential services both in Haor and non-Haor areas. Satellite-based monitoring reveals that, on an average, during dry season waterbodies in haor upazilas is around 6%, but in the wet season it becomes 59% approximately. P value shows that there is a strong association between the effects of SLCC and essential services in haor areas, but no effects of SLCC in non-haor areas in this case. Therefore, this research is an attempt to visualize seasonal variations and related problems in the haor areas to draw attention of the authority for proper initiatives.

JEL-codes: R1 R12 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s41685-017-0067-8

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