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

• DOI: 10.1016/j.ejrs.2016.12.005
• Publication Date: 2017-01-06T07:50:06Z
• Authors: Kamrul Islam; Mohammed Jashimuddin; Biswajit Nath; Tapan Kumar Nath
• Keywords: Cohen's kappa

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