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J. Sci. Technol. Environ. Inform. | Volume 07, Issue 02, 544-554| https://doi.org/10.18801/jstei.070219.56
​Article type: Research article, Received: 19.02.2019, Revised: 16.05.2019, Date of Publication: 25 June 2019, Article updated: 09 August 2019.

Land cover and land use change detection by using remote sensing and GIS in Himchari National Park (HNP), Cox’s Bazar, Bangladesh

Saddam Hossen, Mohammed Kamal Hossain and Mohammad Fahim Uddin
Institute of Forestry and Environmental Sciences, University of Chittagong, Chittagong-4331, Bangladesh.

Abstract
Himchari National Park (HNP) is a protected area that has been degraded, fragmented and converted severely into various land uses. In this study, land use changes of HNP were assessed from 1977 to 2017 by using Landsat 8 OLI-TIRS, Landsat 5 TM and Landsat 2 MSS satellite imagery. The ArcGIS v10.4 and ERDAS Imagine v15 software were used to process satellite imageries and assessed quantitative data for land use change assessment of this study area. Maximum likelihood classification algorithm was used for the assessment of supervised land use classification. Spatial and temporal dynamics of land use/cover changes (1977-2017) were quantified using three Satellite/Landsat images, a supervised classification algorithm and the post classification change detection technique in GIS. Some negative changes of land uses were showed from 1997-2017; but land use changes pattern from 1997-2017 showed comparatively better changes than 1977-1997 time period. But overall land use changes from 1977-2017 showed Dense Forest (529.4 ha) tends to degraded; agriculture (20.1 ha), degraded land (232.4 ha), settlement (82 ha), light forest (192.6 ha) and water body (2.2 ha) were increased. For the next 20 years of land use/cover changes,  it is predict that more than 27.59% dense forest (145.83ha) will be decreased; on the other hand, 20% agriculture (4.02 ha), 9.86% degraded land (35.49 ha), 20 % settlement (16.40ha), 12.17% l light forest (89.47 ha) and 20% water body (0.45 ha) will be increased in 2037. The overall supervised classification accuracy was found 88.64% for 2017, 85.19% for 1997, and 87.67% for 1977 with Kappa values of 0.812, 0.71, and 0.78 for 2017, 1997, and 1977 respectively and these were fairly satisfactory. The present study is suggested for the sustainable management, protection, conservation and proper utilization of the natural resources of HNP.

Key Words
Land use, Remote sensing, Change detection, GIS, Satellite Imagery and Conservation

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​MLA
Hossen et al. ‘’Land cover and land use change detection by using Remote Sensing and GIS in Himchari National Park (HNP), Cox’s Bazar, Bangladesh’’. Journal of Science, Technology and Environment Informatics 07(02) (2019): 544-554.
 
APA
Hossen S, Hossain M. K. and Uddin. M. F. (2019). Land cover and land use change detection by using remote sensing and GIS in Himchari National Park (HNP), Cox’s Bazar, Bangladesh. Journal of Science, Technology and Environment Informatics, 07(02), 544-554.
 
Chicago
Hossen S, Hossain M. K. and Uddin. M. F. ‘’Land cover and land use change detection by using remote sensing and GIS in Himchari National Park (HNP), Cox’s Bazar, Bangladesh’’. Journal of Science, Technology and Environment Informatics 07(02) (2019): 544-554.
 
Harvard
Hossen S, Hossain M. K. and Uddin. M. F. 2019. Land cover and land use change detection by using remote sensing and GIS in Himchari National Park (HNP), Cox’s Bazar, Bangladesh. Journal of Science, Technology and Environment Informatics, 07(02), pp. 544-554.
 
Vancouver
Hossen S, Hossain MK and Uddin. M. F. Land cover and land use change detection by using remote sensing and GIS in Himchari National Park (HNP), Cox’s Bazar, Bangladesh. Journal of Science, Technology and Environment Informatics. 2019 June 07(02): 544-554.

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