文献类型：期刊文献

英文题名：Mapping karst rocky desertification using Landsat 8 images

作者：Li, Shuang[1] Wu, Honggan[2]

第一作者：Li, Shuang

通信作者：Wu, HG[1]

机构：[1]Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing, Peoples R China

年份：2015

卷号：6

期号：9

起止页码：657-666

外文期刊名：REMOTE SENSING LETTERS

收录：;EI(收录号：20153201155578);Scopus(收录号：2-s2.0-84938769551);WOS:【SCI-EXPANDED(收录号:WOS:000359162700001)】；

基金：This work was supported by the National Science and Technology Major Projects of China [grant number 21-Y30B05-9001-13/15].

语种：英文

外文关键词：Decision trees - Maximum likelihood - Remote sensing - Trees (mathematics)

摘要：Karst rocky desertification (KRD) is a serious ecological problem in southwest China. Various remote sensing techniques are available for investigating KRD. Landsat 8 Operational Land Imager (OLI) data, acquired in September (summer) 2013 and January (winter) 2014, were used to analyse the role of vegetation fraction, bedrock exposure, and slope on KRD classification. Then, the decision tree and fuzzy maximum likelihood methods were compared, using the above-mentioned factors, to verify the potential of Landsat 8 OLI data in monitoring KRD. The results show that these factors correlate well with the degree of KRD and that the addition of these factors into the classifier improved accuracy from 84.23% to 91.71%. Thus, Landsat 8 OLI data can be adapted for the monitoring of KRD, which will be useful for the 2015 Third National Desertification Survey.