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  • 标题:Integrated use of spatial data and learning algorithms to detect water quality trends
  • 本地全文:下载
  • 作者:Regina T. Kishi ; Stephan Fuchs ; Hermann H. Hahn
  • 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:This paper presents the first results of a study which investigates river basin water quality management based on theability of GIS to integrate different data sources into a common geographical database. The overall objective of thisresearch is to develop a scheme for water management and improve the likelihood of detecting water quality trends andto determine if variability in water quality parameters among a number of catchments can be explained by theirdifferences in topography, land use, soils and demographic data. The expected benefits of the research are related to theacquisition of a description of the water quality in basins using easily available data, as satellite imagery or maps, thatcan be used in regions where adequate observations are not available
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