Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling
CRC Press, Nov 2, 2005 - Science - 552 pages
Modern hydrology is more interdisciplinary than ever. Staggering amounts and varieties of information pour in from GIS and remote sensing systems every day, and this information must be collected, interpreted, and shared efficiently. Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling introduces the tools, approache
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analysis application ArcHydro attribute bands basin boundary Center clusters complexType component coordinate data file data formats data fusion data mining data model data sources data types data-description database datasets datatype described developed element Equation error ESRI example feature class feature extraction file format FluxLink Foreign key function fuzzy set genetic algorithm geodatabase geographic georeferencing geospatial grid HDF5 HydroID hydroinformatics hydrologic hyperspectral Illinois implementation input integrated data management interface layer lineBreaks="1 Long integer Yes measurements metadata methods Modelshed multiple nestedelement netCDF neural networks node objects optimization output parameters pixel prediction problem projection query raster raster data records relationship rules represent schema Section segment segment segment selection sensor Shapefile shown in Figure spatial specific standard storage stored string target transformation values variables vector data visualization watershed web services