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Information Journal Paper

Title

DIGITAL SOIL MAPPING USING GEO-MORPHOMETRIC PARAMETERS IN THE YAZD-ARDAKAN PLAIN

Pages

  39-52

Abstract

 Traditional soil maps generally consist of some polygon units delineated on the basis of soil variation uniformity. Regarding the difficulties of this kind of maps, researchers have recently tried to use digital soil mapping (DSM) techniques in order to present spatial distribution of soil properties with less cost and time. In this research, Five DSM techniques were applied to predict soil classes in the Yazd-Ardakan plain. Firstly, the USDA soil classification of 422 soil profiles across the Yazd Province were determined and coded. Then, geomorphometric parameters were related to soil data. Results showed that elevation, MrVBF, and wetness index have the most influence on prediction of soil classes up to great group level. Moreover, results indicated that DECISION TREE, GENETIC ALGORITHM, LOGISTIC REGRESSION, ARTIFICIAL NEURAL NETWORK and DISCRIMINANT ANALYSIS predict soil classes with overall accuracy of 60.5%, 49%, 40%, 37% and 31%, respectively. Results also confirmed the capability of DECISION TREE. Later technique could increase the accuracy of prediction up to 48% compared to DISCRIMINANT ANALYSIS technique. Therefore, using of DECISION TREE model with geomorphometric parameters for soil mapping and updating soil maps is suggested in future studies.

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    APA: Copy

    TAGHIZADEH MEHRJARDI, R.. (2015). DIGITAL SOIL MAPPING USING GEO-MORPHOMETRIC PARAMETERS IN THE YAZD-ARDAKAN PLAIN. ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL, 4(2 ), 39-52. SID. https://sid.ir/paper/199784/en

    Vancouver: Copy

    TAGHIZADEH MEHRJARDI R.. DIGITAL SOIL MAPPING USING GEO-MORPHOMETRIC PARAMETERS IN THE YAZD-ARDAKAN PLAIN. ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL[Internet]. 2015;4(2 ):39-52. Available from: https://sid.ir/paper/199784/en

    IEEE: Copy

    R. TAGHIZADEH MEHRJARDI, “DIGITAL SOIL MAPPING USING GEO-MORPHOMETRIC PARAMETERS IN THE YAZD-ARDAKAN PLAIN,” ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL, vol. 4, no. 2 , pp. 39–52, 2015, [Online]. Available: https://sid.ir/paper/199784/en

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