中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Dynamic Analysis of the Vegetation Pattern of the Yellow River Delta National Nature Reserve Based on Remote Sensing

文献类型:会议论文

作者Song C. Y. ; Liu G. H.
出版日期2007
关键词Yellow River delta vegetation pattern remote sensing imagery GIS analysis landsat thematic mapper spatial structure subaqueous delta landscapes sedimentation cover management deposition dispersal indexes
页码140-153
英文摘要Regional vegetation pattern dynamics has bigchange dueto the climate change and even global change. In this study, the Yellow River Delta was selected as the study area. By using 1986, 1993, 1996, 1999 and 2005 remote sensing data as basic information resource and with the support of GIS, a wetland vegetation spatial information dataset is built up. Through selecting the indices such as class percent of landscape ( PL), number of patch ( NP), largest patch index (LPI), mean patch size (MPS) and area weighted mean shape index ( AWMSI) etc., the dynamic change of wetland vegetation pattern is analyzed. The result shows that the change of wetland vegetation pattern is significant from 1986 to 2005, and the wetland vegetation pattern tends to be fragmental. The decrease of vegetation areas may well be explained by the fact that the nature environment evolution ( River channel migration and climate change) and the increase of the population in the Yellow River Delta.
收录类别CPCI
会议录出版者Yellow River Conservancy Press
语种英语
ISBN号978-7-80734-296-0
源URL[http://ir.igsnrr.ac.cn/handle/311030/25261]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Song C. Y.,Liu G. H.. Dynamic Analysis of the Vegetation Pattern of the Yellow River Delta National Nature Reserve Based on Remote Sensing[C]. 见:.

入库方式: OAI收割

来源:地理科学与资源研究所

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