JOURNAL OF NATURAL RESOURCES ›› 2011, Vol. 26 ›› Issue (3): 468-476.doi: 10.11849/zrzyxb.2011.03.013

• Special Column:Celebration of the 70th Anniversary of IGSNRR, CAS • Previous Articles     Next Articles

Synthetic Evaluation of Ecological Suitability of Forest Resources by Analytic Hierarchy Process and Fuzzy Mathematics Model Based on Remote Sensing Data

DONG Bin1, CHEN Li-ping2, QIAN Guo-ying1   

  1. 1. School of Science, Anhui Agricultural University, Hefei 230036, China;
    2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
  • Received:2010-08-08 Revised:2010-12-08 Online:2011-03-20 Published:2011-03-20

Abstract: In the paper, two periods (2000 and 2006) of TM remote sensing images with similar temporal phase were selected as the basic data sources, and supervised classification and expert classification were carried on the forest resources classification and the confirmation, finally, analytic hierarchy process and fuzzy mathematics analysis were used to study the ecological suitability of forest resources synthetic evaluation model in the Yellow River Basin of Shandong Province. The results indicated that the forest resources are distributed unevenly: The forest coverage of Jinan, Tai’an and Laiwu was over 30%, however, the forest coverage of other seven cities was only 15%. In the aspect of the forest resources ecological suitability, Tai’an was the best, Jinan and Laiwu were good, while Zibo, Binzhou, Heze, Dongying and Dezhou were just so-so, Jining and Liaocheng were the worst. During the six years period, Tai’an changed from good to excellent, Jinan and Laiwu got the high remarks, and however, Jinan tended to develop well while Laiwu tended to go to the contrary direction. Although Zibo, Binzhou, Heze, Dongying and Dezhou did not get the good standard, but their development trends seemed to be better. In addition, the ecological suitability of forest resources of Jining and Liaocheng was not good enough.

Key words: remote sensing, analytical hierarchy process (AHP), fuzzy mathematics, ecological suitability of forest resources, Yellow River Basin of Shandong Province

CLC Number: 

  • TP79: S718.5