PL EN


2009 | 12 | 5-15
Article title

CURRENT APPLICATION OF REMOTE SENSING TECHNIQUES IN LAND USE MAPPING: A CASE STUDY OF NORTHERN PARTS OF KOLHAPUR DISTRICT, INDIA

Authors
Content
Title variants
Languages of publication
EN
Abstracts
EN
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, the author examined four mapping approaches (unsupervised, supervised, fuzzy supervised and GIS post-processing) 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.
Contributors
author
  • Ehsan Golmehr, Missisippi State University, USA (for postal address contact the journal editor)
References
Document Type
Publication order reference
Identifiers
CEJSH db identifier
10PLAAAA075319
YADDA identifier
bwmeta1.element.86c2eb13-fdec-3c63-ae3d-a47048941116
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