Analytical analysis of shadow removing algorithms over land use and land cover classification

Remotely sensed data is affected due to presence of shadow effects over undulating terrain surface. The topographic effects suppress the vital information of land surface and also affects the classification of accuracy assessment. In this paper, different shadow removing or topographic correction (TC) algorithms have been implemented with an aim to investigate their impact on land-use and land-cover (LULC) classification using moderate-resolution imaging spectro-radiometer (MODIS) sensor satellite data. To ensure its validity, visual, statistical, graphical analyses and accuracy assessment procedures have been performed. The experimental outcomes have shown that detection and effective removal of shadow effects from the Himalayan terrain provides improvement of assessment of LULC classification.