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. Indarto
Research Center of Water Resource Development, Research Insitute, University of Jember. Jl. Kalimantan No. 37, Kampus - Tegalboto, Jember 68121
Agriculture, Biological Sciences & Forestry Environmental Science

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Application of a Multispectral SPOT Image for Land Use Classification in Sampean Watershed Januar Fery Irawan; . Indarto
JOURNAL OF TROPICAL SOILS Vol 16, No 2: May 2011
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2011.v16i2.176-181

Abstract

This article described the process of land use classification at Sampean Watershed. The research was conducted in Sampean watershed to calculate the land use area using a multispectral SPOT image. Two SPOT image scenes were used to identify and classify the main nomenclature of land use. The research applied level 2A of SPOT image raw data which were obtained during 2004. Research methodology consisted of geometric correction of Image; image enhancement using high sharpen filter; un-supervised classification and supervised classification. The classification algorithm used the maximum likelihood in which pixels was classified based on their spectral signature. Severaltraining areas were identified to define the region area. Supervised classification could classified 9 class of land uses, the classification of land use consist of irrigated paddy field (56.05%), rain fed paddy field (0.89%), forest (10.75%), urban area (8.69%), plantation (4.22%), barren land (11.19%), river (0.05%), cropland (7.98%), and bushes (0.19%). The overall classification accuracy was 84.21%. This work will be useful for hydrological modelling and management planning of the Watershed.
Co-Authors Januar Fery Irawan