文献类型：期刊文献

英文题名：Dynamic change monitoring and assessment for sandy land based on quantitative remote sensing

作者：Wu, Junjun[1] Gao, Zhihai[2] Liu, Qinhuo[1] Li, Zengyuan[2] Zhong, Bo[1] Sun, Bin[2] Ding, Xiangyuan[3] Li, Changlong[4] Wang, Hongyan[1] Yang, Aixia[1] Wang, Xinshuang[5]

第一作者：Wu, Junjun

通信作者：Sun, Bin

机构：[1] State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing, 100101, China; [2] Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China; [3] Insights Value of Beijing, Beijing, 100029, China; [4] State Academy of Forestry Administration, Beijing, 102600, China; [5] Shaanxi Geomatics Center of National Administration of Surverying, Mapping and Geoinformation, Xi'an, 710054, China

年份：2018

卷号：2018-July

起止页码：4958-4961

外文期刊名：International Geoscience and Remote Sensing Symposium (IGARSS)

收录：EI(收录号：20191606777933)

语种：英文

外文关键词：Extraction - Remote sensing - Pixels

摘要：Because of climatic change and human activities, sandification is becoming a serious threat to the sustainability of human habitation. The aim of this study, therefore, was to propose a method for sandy land detection based on mixed pixel decomposition; the dynamic change monitoring and assessment was then conducted. Results showed that the pixel purity index is a viable indicator for end member extraction for sandy land detection via remote sensing by linear mixed pixel decomposition methods. Results showed that when the end member proportion of sandy land accounted for > 50% of the total (except for the vegetation), a pixel would be detected as sandy land. The extraction accuracy was verified to be 86.42% by field data. Early-middle August was believed to be the most reasonable time to assess sandy land coverage based on vegetation coverage. The sandy land areas in 2005 and 2014 were 5524 km2 and 4109 km2 respectively, reduced by 25.6%. Under the governance of sandy land in the last ten years, the sandy land area declined continually, but some areas were still degraded to a worse status and need special care to protect. ? 2018 IEEE.