辽宁石油化工大学学报Issue(5)：58-61,72,5.DOI:10.3969/j.issn.1672¯6952.2015.05.014
基于 GIS 和 RS 的毛乌素沙地景观提取及变化研究
Study of the Landscape Extraction and Evolution of Mu Us Desert Based on Geographic Information System and Remote Sensing
摘要
Abstract
This experiment focuses on the fragile zone in Mu Us Desert where farming ,forestry ,animal husbandry interlacing ecologically in desertification research as the object .It studies the optimal computer automatic classification of Mu Us Desert based on CBERS and TM remote sensing image data type ,and investigates the evolution process of Mu Us Desert (2000‐2013) combined with the evolution of GIS spatial analysis and landscape index quantitative .The experiment shows that ,through the maximum likelihood supervised classification method ,the highest overall precision of sand type obtained is above 86 .21% , which is the ideal means of desertification land classification .A nonlinear relationship exists between environment changes and shifting sands ,semi‐shifting sands ,semi‐fixed sands ,fixed sands .Those four types of sand plaques present to be instability ,in which shifting and semi‐shifting sands change significantly in position ,going on gradually from southwest to northwest and south .Succession between patches will still occur frequently in a period of time in the future ,while the percentage of the four types of sands accounts from 82 2.9% to 75 0.7% of the study area ,proving the ecological environment is getting better by the governance of Mu Us Desert .关键词
毛乌素沙地/荒漠化/遥感信息提取/监督分类/景观格局Key words
Mu Us Desert/Desertification/Sand land information extraction/Image classification method/Landscape pattern分类
能源科技引用本文复制引用
曹杨,魏海平,杨景荣..基于 GIS 和 RS 的毛乌素沙地景观提取及变化研究[J].辽宁石油化工大学学报,2015,(5):58-61,72,5.基金项目
辽宁省教育科学“十二五”规划立项课题（JG12DB279）。 （）
