文献类型：会议论文

英文题名：Dynamic monitoring of changing and evolvement in Kumtag desert based on remote sensing images

作者：Zhang, Huai-Qing[1] Ling, Cheng-Xing[1]

第一作者：张怀清

通信作者：Zhang, H.-Q.

机构：[1] Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, CAF, Beijing, 100091, China

会议论文集：Proceedings - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010

会议日期：23 October 2010 through 24 October 2010

会议地点：Sanya

语种：英文

外文关键词：Intelligent computing - Maximum likelihood - Remote sensing - Saline water - Vegetation

年份：2010

摘要：Lansat MSS and Landsat TM data of the Kumtag desert research area in four periods from 1975, 1990, 2000 to 2007 were chosen to dynamic monitor the changes of desert area. An images interpretation system was established after data preprocessing. The desert changing data for the Kumtag desert research area in the past 32 years were acquired through the combination of maximum likelihood classification with visual interpretation. The results showed that the desert area of the Kumtag research area kept increasing from 1975 to 2007, specifically, the area rose from 22,712.58km2 in 1975 to 23,352.33km2 in 2007. The period from 2000 to 2007 was the period with the maximum dynamic desert change in the research area. The comprehensive analysis of the transition probability matrixes of desert, gobi, saline land, vegetation area, mountain bodies and water bodies in these three periods reflected that the dynamic-degree variation trend and the transition characteristics in the Kumtag desert area were mainly resulted from the laws of nature evolution, involving temperature, precipitation, evaporation, humidity, the changing characteristics of vegetation distribution and surface wind-erosion. From integrated analysis, it shows that main reason of desert development characteristic is natural selection and evolution. ? 2010 IEEE.