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An Automated Hybrid Approach to Large Area Land Use Classification and Change Detection

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Abstract

An automated, supervised Gaussian Maximum Likelihood classifier which leveraged a priori scene knowledge from MODIS was developed to rapidly identify and exploit large area land use change over time using Global Landsat Survey data.

© 2010 Optical Society of America

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