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  • 标题:Extraction of Non-point Pollution Using Satellite Imagery Data
  • 本地全文:下载
  • 作者:L. Sang-ik ; C. Yun-soo ; K. June-hwan
  • 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:2004
  • 卷号:XXXV Part B4
  • 页码:354-357
  • 出版社:Copernicus Publications
  • 摘要:Land cover map is a typical GIS database which shows the Earth's physical surface differentiated by standardized ho- mogeneous land cover types. Satellite images acquired by Landsat TM were primarily used to produce a land cover map of 7 land cover classes; however, it now becomes to produce a more accurate land cover classification dataset of 23 classes thanks to higher resolution satellite images, such as SPOT-5 and IKONOS. The use of the newly produced high resolution land cover map of 23 classes for such activities to estimate non-point sources of pollution like water pollution modelling and atmospheric dispersion modelling is expected to result a higher level of accuracy and validity to various environmental monitoring results
  • 关键词:Land Cover Map; Non-Point Source of Pollution
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