Dynamic Analysis of the Vegetation Pattern of the Yellow River Delta National Nature Reserve Based on Remote Sensing
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.
Yellow River delta vegetation pattern remote sensing imagery GIS analysis
Song Chuangye Liu Gaohuan
Institute of Geographic Science and Nature Resource Research, Chinese Academy of Sciences, Beijing, Institute of Geographic Science and Nature Resource Research, Chinese Academy of Sciences, Beijing,
国际会议
山东东营
英文
140-153
2007-10-16（万方平台首次上网日期，不代表论文的发表时间）