Abstract
The land use activities ultimately affect the land cover spatially and temporarily. The major factor responsible for the change in land use/land cover is to fulfill the growing demands of increasing population through agricultural intensification for food and clearing natural land cover like the forest for settlement and commercial activities. The change in land use and land cover also disturbs the other natural component soil fertility, soil erosion, ecology, biodiversity, air quality and water regime of the disturbed area. The remote sensing and GIS technology has been emerged as a good tool to analyze the change in land use and land cover of the area at spatial and temporal scale. In this study, the NDVI based classification has indicated about significant change in land use land cover between a year 1990 and 2014. The Major change has been found in the forest cover area where about 113 km 2 (2.9%) of forest have been degraded and about 115.4 km 2 area of wetland has been lost between year 1990 and 2014.
Highlights
Land cover refers to the physical state of the land surface including cropland, forest, wetland etc. (Di Gregorio & Jansen, 2000); whereas land use refers to biophysical assets used by the human (Cihlar & Jansen, 2001; Campbell, 2002)
Two images (1990 and 2014) have been classified on the basis of normalised difference vegetation index (NDVI), a vegetation index calculated by Normalized difference vegetation index (NDVI) is an index based on spectral reflectance of the ground surface feature
NDVI has been used for analysis of change detection in many studies (Huang and Siegert, 2006; Ahl et al, 2006; de Boer, 2000)
Summary
Land cover refers to the physical state of the land surface including cropland, forest, wetland etc. (Di Gregorio & Jansen, 2000); whereas land use refers to biophysical assets used by the human (Cihlar & Jansen, 2001; Campbell, 2002). Land cover refers to the physical state of the land surface including cropland, forest, wetland etc. Remote sensing data and GIS is an appropriate tool for the assessment of the global land use/land cover change and environmental monitoring because of its spatial and temporal coverage capabilities (Anderson et al, 1976; Green et al, 1994; Fraser, 2009; Mukherjee et al, 2010). Normalized difference vegetation index (NDVI) based comparison using multi date satellite data methods proposed for change detection in land use and land cover (Nielson et al, 1998; Stow et al, 1996; Yuan et al, 1999). The change detection and assessment of land use/land cover using geo-
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