NDLI: Land Suitability Evaluation Using Fuzzy Continuous Classification (A Case Study: Ziaran Region)

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Land Suitability Evaluation Using Fuzzy Continuous Classification (A Case Study: Ziaran Region)

Content Provider	Scilit
Author	Keshavarzi, Ali Sarmadian, Fereydoon Heidari, Ahmad Omid, Mahmoud
Copyright Year	2010
Description	Because conventional Boolean retrieval of soil survey data and logical models for assessing land suitability treat both spatial units and attribute value ranges as exactly specifiable quantities, they ignore the continuous nature of soil and landscape variation and uncertainties in measurement which can result in the misclassification of sites that just fail to match strictly defined requirements. The objective of this research is to apply fuzzy set theory for land suitability evaluation in Ziaran region in Qazvin province, Iran. The study area was divided into 15 land units and 9 land characteristics considered to be relevant to irrigated wheat. The weight contributions of individual characteristics to observed yield were determined using the analytic hierarchy process (AHP). The use of the fuzzy technique is helpful for land suitability evaluation and classification of continuous variation, especially in applications in which subtle differences in land characteristics are of a major interest.
ISSN	19131844
e-ISSN	19131852
DOI	10.5539/mas.v4n7p72
Journal	Modern Applied Science
Issue Number	7
Volume Number	4
Language	English
Publisher	Canadian Center of Science and Education
Publisher Date	2010-06-16
Access Restriction	Open
Subject Keyword	Remote Sensing Continuous Classification Land Suitability Evaluation
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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