标题：Quantitative assessment of land degradation factors based on remotely-sensed data and cellular automata: a case study of Beijing and its neighboring areas
期刊名称：Journal of Integrative Environmental Sciences
印刷版ISSN：1943-815X
电子版ISSN：1943-8168
出版年度：2006
卷号：3
期号：4
页码：239-253
DOI：10.1080/15693430601063463
出版社：Taylor & Francis
摘要：This paper aims to use remotely-sensed data and a cellular automata (CA) model to assess land degradation factors quantitatively. The assessment was undertaken in Beijing and its neighboring areas. Six factors of land degradation were derived from the satellite images and other ancillary data in terms of geology, hydrography, meteorology, and anthropogeography. The weights of these factors were calculated through an adaptive analytic hierarchy process (AHP), with their initial weights calculated by a matrix that was decided by many experts. These factors and their corresponding weights were used in a CA model to simulate land degradation states from 1996 to 2000. The desertified areas as the initial state of simulation were extracted from the satellite images of 1996, and the initial weights of six factors were changed if the simulated results were not consistent with the land degradation state of the satellite images of 2000. The re-simulated results in the CA model using the calibrated weights (fitness weights) were more objective and reasonable than the calculated results using the initial weights of AHP. For examination, a new matrix of AHP was constructed according to the calibrated weights. The simulated results show that the calibrated weights are reasonable and reliable, and the integrated approach can determine the causes of land degradation. This method of assessment is expected to be valuable for governments and the relevant researchers.
