Forest Canopy Density and ASTER DEM based Study for Dense Forest Investigation using Remote Sensing and GIS Techniques around East Singhbhum in Jharkhand, India

Jai Kumar, Paras Talwar, Krishna A. P.


In this research paper Forest Canopy Density (FCD) and Aster DEM monitoring of dense forest is carried out in East Singhbhum district is situated at the southeast corner of Jharkhand. This model calculates forest canopy density using the three indices of bare soil index (BSI), shadow index (SI) and vegetation index. For this, the LANDSAT 8 images are used. At first, the dense forest map was prepared by using forest canopy density modeling whose overall accuracy is 86 to 90%. Aster DEM is used to calculate Aspect, Elevation, Hillshade maps. Aspect, Elevation and Hillshade map point out the dense forest from our region. At last, the change in area of dense forest is distinguished by using the FCD model map and map formed by interpretation Aspect, Elevation, Hillshade map.


Landsat 8; FCD; SI; BSI; Remote Sensing; Aster DEM; GIS

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