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  • 标题:Land cover classification: Some new techniques, new source data
  • 本地全文:下载
  • 作者:David A. Hastings ; Ryutaro Tateishi
  • 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:1998
  • 卷号:XXXII Part 4
  • 出版社:Copernicus Publications
  • 摘要:Land cover classifications have advanced from using single Landsat Multispectral Scanner scenes to using "fullresolution" AVHRR time series. Three current approaches to global land cover study with AVHRR involve (1) compiledclimatologies from AVHRR data at 16-km nominal latitude-longitude gridding, (2) over 16 years of 8-km nominal Goode'sprojection gridding in the NOAA/NASA Pathfinder collection, and (3) a short time-series of 1-km nominal Goode'sprojection gridding by the U. S. Geological Survey and others. Despite such progress, the link between imagery-basedclassifications and ground observations remains somewhat weak, and not always logical to the field scientist. This paperdiscusses several processes that may potentially improve global land cover classifications.
  • 关键词:Environmental variables; Global; Land Cover; AVHRR; Satellite Imagery
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