Raster-network regionalization for watershed data processing

  • Authors:

  • T. L. Whiteaker;D. R. Maidment;H. Gopalan;C. Patino;D. C. Mckinney

  • Affiliations:

  • Pickle Research Campus, Bldg 119, MC R8000, University of Texas, Austin, TX 78712;Pickle Research Campus, Bldg 119, MC R8000, University of Texas, Austin, TX 78712;Florida Department of Environmental Protection, Tallahassee, FL 32399;Pickle Research Campus, Bldg 119, MC R8000, University of Texas, Austin, TX 78712;Pickle Research Campus, Bldg 119, MC R8000, University of Texas, Austin, TX 78712

  • Venue:
  • International Journal of Geographical Information Science
  • Year:
  • 2007

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Abstract

Difficulties exist in calculating watershed parameters from raster datasets over large regions because of the excessive computation time involved. A technique is presented which divides a large region into hydrologically distinct subregions, in each of which raster analyses are performed, in order to efficiently process large raster datasets. The results of raster analyses are stored as attributes on the resulting vector data. The vector data are then merged, and appropriate values accumulated to obtain regional parameter values for points of interest along the stream network. The technique, called Raster-Network Regionalization, uses the vector stream network as the backbone for the integration of subregions into a single region. A case study is presented which utilizes the technique to prepare geospatial inputs for the Water Rights Analysis Package simulation model.