中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Remote Sensing Monitoring of Surface Characteristics in the Badain Jaran, Tengger, and Ulan Buh Deserts of China

文献类型:期刊论文

作者Liu, Qingsheng1,2; Liu, Gaohuan1; Huang, Chong1; Li, He1
刊名CHINESE GEOGRAPHICAL SCIENCE
出版日期2019-02-01
卷号29期号:1页码:151-165
关键词surface characteristics MODIS desert tasseled cap angle disturbance index topsoil grain size index
ISSN号1002-0063
DOI10.1007/s11769-018-0997-8
通讯作者Liu, Qingsheng(liuqs@lreis.ac.cn)
英文摘要Deserts and sandy land in northern China are very susceptible to sandy desertification and are the main source of sand-dust storms of Asian dust. However, because of the complex factors involved, descriptions of the relationship between sandy desertification and surface characteristics in these regions are lacking. We monitored the surface characteristics and their changes in time using information about soil, vegetation, and landforms in the Badain Jaran Desert (BJD), Tengger Desert (TD), and Ulan Buh Desert (UBD) in the northern China. The monitoring was done using tasseled cap angle (TCA), disturbance index (DI), and topsoil grain size index (TGSI) from Moderate Resolution Imaging Spectroradiometer (MODIS) images combined with a decision tree classification. Results showed that the TD had higher topsoil fine sand content, and the ratio of non-vegetated to vegetated areas was similar with that in the UBD. Northeast-southwest coarse sand dunes with thin interdune (NECTI) dominated the BD, fine sand dunes (FSD) dominated the TD, and a combination of northeast-southwest coarse sand dunes with wide interdune (NECWI) and northwest-southeast coarse sand dunes with wide interdune (NWCWI) dominated the UBD. From 2000 to 2015, in the BJD the area of the NECTI, non-sand dune (Non) and potential sand sources (PSS) increased, whereas the area of the NECWI, FSD and NWCWI decreased, indicating a improve process in the BJD. In the TD, the area covered by Non increased, whereas the area covered by PSS, NECWI, NECTI, FSD, and NWCWI decreased from 2000 to 2015. The area covered by the various surface characteristic types fluctuated annually in the UBD from 2000 to 2015. Changes in surface characteristics reflect the combined effects of natural conditions and human activity. The findings of our study will assist scientists and policy makers in proposing different management techniques to combat sandy desertification for the different surface characteristics of these regions.
WOS关键词FRACTIONAL VEGETATION COVER ; HORQIN SANDY LAND ; AEOLIAN DESERTIFICATION ; TRACKING DESERTIFICATION ; NORTHERN CHINA ; INNER-MONGOLIA ; WIND EROSION ; BLOWN SAND ; NDVI ; PLATEAU
资助项目Innovation Project of LREIS[O88RA20CYA] ; Innovation Project of LREIS[08R8A010YA] ; National Natural Science Foundation of China[41671422] ; International Cooperation in Science and Technology Special Project[2013DFA91700]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000455227500012
出版者SPRINGER
资助机构Innovation Project of LREIS ; National Natural Science Foundation of China ; International Cooperation in Science and Technology Special Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/50501]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Qingsheng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714
Liu, Qingsheng,Liu, Gaohuan,Huang, Chong,et al. Remote Sensing Monitoring of Surface Characteristics in the Badain Jaran, Tengger, and Ulan Buh Deserts of China[J]. CHINESE GEOGRAPHICAL SCIENCE,2019,29(1):151-165.
APA Liu, Qingsheng,Liu, Gaohuan,Huang, Chong,&Li, He.(2019).Remote Sensing Monitoring of Surface Characteristics in the Badain Jaran, Tengger, and Ulan Buh Deserts of China.CHINESE GEOGRAPHICAL SCIENCE,29(1),151-165.
MLA Liu, Qingsheng,et al."Remote Sensing Monitoring of Surface Characteristics in the Badain Jaran, Tengger, and Ulan Buh Deserts of China".CHINESE GEOGRAPHICAL SCIENCE 29.1(2019):151-165.

入库方式: OAI收割

来源:地理科学与资源研究所

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