文献类型：会议论文

英文题名：REMOTELY SENSED MONITORING FOREST CHANGES-A CASE STUDY IN THE JINHE TOWN OF INNER MONGOLIA

作者：Sun, Hong[1] Tian, Xin[1] Li, Zengyuan[1] Chen, Erxue[1] Wang, Wei[2]

通信作者：Tian, X[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Acad Forestry Inventory & Planning, State Forestry Bur, Beijing 100714, Peoples R China

会议论文集：IEEE International Geoscience & Remote Sensing Symposium

会议日期：JUL 23-28, 2017

会议地点：Fort Worth, TX

语种：英文

外文关键词：forest changes; VFC; AGB; forest fire disaster

年份：2017

摘要：This study investigated forest changes over Jinhe town of Inner Mongolia among 2001, 2004, 2008, 2013 and 2015 by use of multi-temporal Landsat Thematic Mapper-5 (TM), Chinese high resolution satellite data, Gaofen-1 (GF-1) remote sensing and forest inventory data. Vegetation fractional coverage (VFC) was extracted by the dimidiate pixel model. Forest above-ground biomass (AGB) was estimated by k-nearest neighbor (k-NN) with fast iterative features selection (KNN-FIFS). The results showed that, due to the serious forest fire disaster which taken plaihquce in 2003, the local VFC declined in the high level (60%