Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh

• Main Authors: Kamrul Islam, Mohammed Jashimuddin, Biswajit Nath, Tapan Kumar Nath
• Format: Article
• Language: English
• Published: Elsevier 2018-04-01
• Series: Egyptian Journal of Remote Sensing and Space Sciences
• Online Access: http://www.sciencedirect.com/science/article/pii/S1110982316301594

The degraded Chunati wildlife sanctuary (CWS) has undergone various land use changes since 1980s. In this study, land use changes of CWS were assessed from 2005 to 2015 by using Landsat TM and Landsat 8 OLI/TIRS images. The ArcGIS v10.1 and ERDAS Imagine v14 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 in order to derive supervised land use classification. It was found that about 256 ha of degraded forest area had been increased within 10 years (2005–2015) and the annual rate of change was 25.56%. Another 159 ha of naturally forested land had been changed to other land uses having an (−) annual rate of change of 15.88%. The overall supervised classification accuracy was found 92.16% for 2015, 86.15% for 2010, and 83.96% for 2005 with Kappa values of 0.89, 0.82, and 0.81 for 2015, 2010, and 2005, respectively and these were fairly satisfactory. The results of this study would be helpful to plan and implement important management decisions in order to conserve the rich biodiversity of Chunati wildlife sanctuary. Keywords: Land use/land cover change (LULCC), Remote sensing (RS), Geographic information system (GIS), Chunati wildlife sanctuary (CWS), Land use classification, Protected area