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Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh

Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh

Munshi K. Rahman, Thomas W. Schmidlin, Mandy J. Munro-Stasiuk, Andrew Curtis
Copyright: © 2017 |Volume: 8 |Issue: 2 |Pages: 16
ISSN: 1947-9654|EISSN: 1947-9662|EISBN13: 9781522513186|DOI: 10.4018/IJAGR.2017040104
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MLA

Rahman, Munshi K., et al. "Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh." IJAGR vol.8, no.2 2017: pp.45-60. http://doi.org/10.4018/IJAGR.2017040104

APA

Rahman, M. K., Schmidlin, T. W., Munro-Stasiuk, M. J., & Curtis, A. (2017). Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh. International Journal of Applied Geospatial Research (IJAGR), 8(2), 45-60. http://doi.org/10.4018/IJAGR.2017040104

Chicago

Rahman, Munshi K., et al. "Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh," International Journal of Applied Geospatial Research (IJAGR) 8, no.2: 45-60. http://doi.org/10.4018/IJAGR.2017040104

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Abstract

This study utilizes geospatial tools of remote sensing, geographical information systems (GIS), and global positioning system (GPS) to examine the land loss, land cover (LC) change, landuse of Kutubdia Island, Bangladesh. Multi-spectral Scanner (MSS), Thematic Mapper (TM), and Landsat8 OLI imageries were used for land cover change. For assessing the landuse patterns of 2012, spatial video data were collected by using contour GPS camera. Using remote sensing analysis three different land cover classes (water, trees and forest, and agriculture) were identified and land cover changes were detected from 1972 to 2013. The results show from 1972 to 2013, an estimated 9 km2 of land has been lost and significant changes have taken place from 1972 to 2013. Only an estimated .35 km2 area of accretion has taken place during the study period. Using GIS eight different landuse patterns were identified based on spatial video data.

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