首页    期刊浏览 2024年09月06日 星期五
登录注册

文章基本信息

  • 标题:Normalizing Aster Data Using MODIS Products for Land Cover Classification
  • 本地全文:下载
  • 作者:F. Gao ; J. G. Masek
  • 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:2008
  • 卷号:XXXVII Part B7
  • 页码:1209-1214
  • 出版社:Copernicus Publications
  • 摘要:ASTER has similar bandwidths and spatial resolution to Landsat and is an important component of the mid-resolution data archive. However, the limited duty cycle of ASTER and relatively small scene size has resulted in a "patchwork" archive of global imagery. The changes of solar geometries (BRDF) and phenology complicate land cover classification and change detection especially when comparing to the historical Landsat data archive. In this paper, we use the improved general empirical relation model (GERM) approach to normalize ASTER images acquired from different dates to one reference MODIS data. The resulting MODIS-like surface reflectance from different ASTER scenes can be mosaiced for land cover classification. Land cover change detection also becomes possible while comparing ASTER images to other mid-resolution data produced from same approach
  • 关键词:ASTER; MODIS; Landsat; Surface Reflectance; Radiometric Normalization; Land Cover; Classification
国家哲学社会科学文献中心版权所有