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Current Application of Remote Sensing Techniques in Land Use Mapping: A Case Study of Northern Parts of Kolhapur District, India
Golmehr, Ehsan
Abstract
Land use mapping is important for evaluation, management and conservation of natural resources
of an area and the knowledge on the existing land use is one of the prime pre-requisites for suggesting better use of
land. In this study, we examined four mapping approaches (unsupervised, supervised, fuzzy supervised and GIS postprocessing)
to identify, demarcate and map the agricultural land use categories in the Northern parts of Kolhapur
district, India. A fuzzy c-means clustering algorithm for supervised classification approach was applied to prepare
multi-layer class map and distance map. For the accuracy assessment a random stratified sampling method was used
to allocate the sample size for each land use based on its spatial extent. Finally, the extracted land use map was
classified into six major groups, namely forest, cultivated land, range land, waste land, water bodies and built-up
land. @ JASEM
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