Paper
25 September 2003 Land cover classification in Kii Peninsula of Japan using Terra/MODIS data
Cen Yi, Liangpei Zhang, Shinobu Furumi, Kanako Muramatsu, Noboru Fujiwara
Author Affiliations +
Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539852
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
Abstract
Using Terra/MODIS data of 2001, land cover classifications are studied in Kii peninsula based on pattern decomposition method (PDM). The pattern decomposition method is an analysis method developed in multi-dimensional reflectance space and is suitable for mixing analysis and sensor independent analysis. In this method, a digital number in multi-spectral satellite data is expressed by the combination of three standard spectral patterns multiplied by three decomposition coefficients. Use these three coefficients and vegetation index based on PDM (VIPD), land objects are classified and it is found that 76.8% of Kii peninsula is vegetation and is nearly same results as the values obtained using landsat/TM data of 1995. Our final goal of this study is to estimate net primary production (NPP) of vegetation in Kii peninsula using the results of land cover classification and to study annual change of land cover and NPP.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cen Yi, Liangpei Zhang, Shinobu Furumi, Kanako Muramatsu, and Noboru Fujiwara "Land cover classification in Kii Peninsula of Japan using Terra/MODIS data", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539852
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KEYWORDS
Vegetation

Cesium

Reflectivity

Satellites

Clouds

Earth observing sensors

Image classification

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