Water mapping through Universal Pattern Decomposition Method and Tasseled Cap Transformation

Advances in remote sensing paved a way to understand the landuse and landcover features from the eye of space borne sensors. Spectral indices are used to analyze these features. This study focuses on the two very important orthogonal indices for water mapping - Universal Pattern Decomposition Method (UPDM) and Tasseled Cap Transformation (TCT) by considering Landsat 8 data. Results are compared with another very famous water index Modified Normalized Difference Water Index (MNDWI). It was found that wetness index of TCT didn´t give good visual interpretation of water body in highly dense vegetative areas. So, greenness index of TCT was used for water delineation. And then results were compared with MNDWI. For good visual interpretation, UPDM seems better than TCT.