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  • 标题:RULE-BASED CLASSIFICATION OF ALOS/AVNIR-2 AND PRISM DATA FOR BAMBOO DISTRIBUTION MAPPING
  • 本地全文:下载
  • 作者:A. Nonomura ; S. Hozumi ; T. Masuda
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2010
  • 卷号:XXXVIII - Part 8
  • 页码:753-758
  • 出版社:Copernicus Publications
  • 摘要:Previously bamboo forests were utilized and maintained to obtain several kinds of product, however, recently the demand has been decreased, so the bamboo forests are not utilized so much, and it is disorderedly expanding in many rural area, in Japan. It has caused serious damage to the ecosystem that expanding bamboo forests are destroying other species. Since the distribution is rapidly expanding, it is very difficult to map the current bamboo distribution with conventional way, such as manually interpretation of aerial photo and satellite data because of required efforts. In this study, we developed a hierarchical algorithm to map bamboo distribution using ALOS /AVNIR-2 and PRISM data. As the first step, land cover is largely classified into vegetated area and non- vegetated area using NDVI. The vegetated area is classified into paddy field and forest area with height of objects, which is derived with surface height calculated with PRISM data and elevation data. Finally, bamboo area is differentiated with discriminant function by using reflectance data estimated from ALOS/AVNIR-2 and PRISM data. By following these rules, finally, landcover is classified into five categories including bamboo forest
  • 关键词:classification; digital surface model (DSM); bamboo; ALOS/AVNIR-2; ALOS/PRISM
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