Uttam Kumar

Norman Kerle

Milap Punia

T. V. Ramachandra*


Land cover (LC) changes play a major role in global as well as at regional scale patterns of the climate and biogeochemistry of the Earth system. LC information presents critical insights in understanding of Earth surface phenomena, particularly useful when obtained synoptically from remote sensing data. However, for developing countries and those with large geographical extent, regular LC mapping is prohibitive with data from commercial sensors (high cost factor) of limited spatial coverage (low temporal resolution and band swath). In this context, free MODIS data with good spectro-temporal resolution meet the purpose. LC mapping from these data has continuously evolved with advances in classification algorithms. This paper presents a comparative study of two robust data mining techniques, the multilayer perceptron (MLP) and decision tree (DT) on different products of MODIS data corresponding to Kolar district, Karnataka, India. The MODIS classified images when compared at three different spatial scales (at district level, taluk level and pixel level) shows that MLP based classification on minimum noise fraction components on MODIS 36 bands provide the most accurate LC mapping with 86% accuracy, while DT on MODIS 36 bands principal components leads to less accurate classification (69%).

Keywords: Land cover, multilayer perceptrons, decision tree, principal component analysis, minimum noise fraction

Citation: Uttam Kumar, Norman Kerle, Milap Punia and T. V. Ramachandra , 2011, Mining Land Cover Information Using Multilayer. J Indian Soc Remote Sens, DOI 10.1007/s12524-011-0061-y.

U. Kumar
Department of Management Studies and Centre for Sustainable Technologies, Indian Institute of Science, Bangalore 560012, India


M. Punia
Centre for the Study of Regional Development, Jawaharlal Nehru University, New Delhi 110067, India

N. Kerle
Department of Earth Systems Analysis, Faculty of Geo-Information Science and Earth Observation, Twente University,
P.O. Box. 6, 7500 AA Enschede, The Netherlands


T. V. Ramachandra (*)
Centre for Ecological Sciences and Centre for Sustainable Technologies, Indian Institute of Science, Bangalore 560012, India
phone: 91-80-22933099; fax: 91-80-23601428;

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