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GIS-Based Red Soil Resources Classification andEvaluationEnglish Full Text

HU YUEMING; DAI JUN and WANG RENCHAO( College of Resources and Environment, South China Aggicultural University, Guangzhou 510642 (China))(Institute of Remote-Sensing and Information Technology, Zhejiang Agricultural University, Hangzhou310029 (China))

Abstract: A small scale red soil resources information system (RSRIS) with applied mathematical models wasdeveloped and applied in red soil resources (RSR) classification and evaluation, taking Zhejiang Province,a typical distribution area of red soil, as the study area. Computer-aided overlay was conducted to classifyRSR types. The evaluation was carried out by using three methods, i.e., index summation, square root ofindex multiplication and fuzzy comprehensive assessment, with almost identical results. The result of indexsummation could represent the basic qualitative condition of RSR, that of square root of index multiplicationreflected the real condition of RSR qualitative rank, while fuzzy comprehensive assessment could satisfactorilyhandle the relationship between the evaluation factors and the qualitative rank of RSR, and therefore it is afeasible method for RSR evaluation.
  • Series:

    (D) Agriculture; (A) Mathematics/ Physics/ Mechanics/ Astronomy

  • Subject:

    Physical Geography and Topography

  • Classification Code:

    S155.3

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