DOI: 10.5176/2251-189X_SEES35

Authors: Priyakant Sinha & Lalit Kumar

Abstract: For cool temperate climatic conditions, the method that suits best for seasonal land-cover change identification remains uncertain. In this study, 11 different binary change detection methods were tested and compared with respect to their capability in detecting land-cover change/no-change information in different seasons. Multi-date Thematic Mapper (TM) data were used for a wide set of change image generation. A relatively new approach was applied for optimal threshold value determination for separate change/no-change areas. Research indicated that irrespective of the method used, the results from NDVI-based techniques outperformed all other tested techniques in change detection process (overall accuracy > 90{6e6090cdd558c53a8bc18225ef4499fead9160abd3419ad4f137e902b483c465} and Kappa value > 0.85 for all six change periods).

Keywords: land-cover change, binary image, thresholding


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