A new vegetation index derived from the pattern decomposition method applied to Landsat-7/ETM+ images in Mongolia
The goal of this study was to estimate vegetation coverage and map the land-cover in an experimental field (60×60 km) near Mandalgobi, Mongolia using Landsat-7/ETM+ data for ground truthing in the Advanced Earth Observing Satellite II (ADEOS-II) Mongolian Plateau Experiment (AMPEX). We measured soil moisture, vegetation coverage, and vegetation moisture in the field at 49 grid points around the time that the Aqua satellite passed over the area. We also surveyed the land-cover in the field. Using ground-based data and characteristics of spectral reflectance, we attempted to extract vegetation information from satellite data using the pattern decomposition method, which is a type of spectral mixture analysis. This method uses normalized spectral shapes as endmembers, which do not change between scenes. We defined an index using the pattern decomposition coefficients to analyse sparsely vegetated areas. The index showed a linear relationship with vegetation coverage. The vegetation coverage was estimated for the study site, and the average coverage at the site was 21.4%. Land-cover types were classified using the index and the pattern decomposition coefficients; the kappa coefficient was 0.75. The index was useful for estimating vegetation coverage and land-cover mapping for semiarid areas.
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Document Type: Research Article
KYOUSEI Science Center for Life and Nature, Nara Women's University, Japan,Department of Information and Computer Sciences, Nara Women's University, Japan
KYOUSEI Science Center for Life and Nature, Nara Women's University, Japan
Department of Information and Computer Sciences, Nara Women's University, Japan
Department of Living Space Design, Tezukayama University, Japan
Department of Economics, Doshisha University, Japan
Department of Agro-Environmental Science, Obihiro University for Agriculture and Veterinary Medicine, Japan
Graduate School for Agriculture, Kyoto University,
Institute of Meteorology and Hydrology, Ministry of Nature and Environment, Mongolia
Department of Natural Environmental Sciences, Hiroshima University,
Publication date: 2007-01-01
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