Data Mining GIS and Remote Sensing Application in Wetland Hydrological Investigation
Data mining, gis and remote sensing: application in wetland hydrological investigation by Bo Zhang, Bo Zhang M.S. Using the TOPEX radar altimeter for land cover studies has been of great interest due to the TOPEX near global coverage and its consistent availability of waveform data for about one and a half decade.... Published date on: 2008 with total page: 137 pages. Publisher of Data Mining, GIS and Remote Sensing: Application in Wetland Hydrological Investigation is ProQuest.
Using the TOPEX radar altimeter for land cover studies has been of great interest due to the TOPEX near global coverage and its consistent availability of waveform data for about one and a half decades from 1992 to 2005. However, the complexity of the TOPEX Sensor Data Records (SDRs) makes the Classification of land cover using particularly difficult. In this study, regression tree and artificial neural networks as the most powerful algorithms in data mining are investigated for water proportion assessment over Lake of the Woods area using TOPEX SDR waveform data. Results demonstrate that these data mining technologies have provided insight into identifying water proportion from the TOPEX radar waveforms, with predicted errors controlled in a reasonable range. The distinct tailing pattern of radar echoes from water plays an important role in water ratio regression.
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