会议论文

Xu, Lili

英文

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

2153-6996

2017

1107-1110

IEEE International Geoscience & Remote Sensing Symposium

IEEE International Symposium on Geoscience and Remote Sensing IGARSS

JUL 23-28, 2017

Fort Worth, TX

[Xu, Lili;Yu, Guangming;Tu, Zhenfa] Key Lab Geog Proc Anal & Simulat, Wuhan 430079, Hubei, Peoples R China.^[Xu, Lili;Yu, Guangming;Tu, Zhenfa] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.^[Zhou, Yuke] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China.

Institute of Elect & Electron Engineers Geoscience & Remote Sensing Soc, IEEE, IEEE GRSS

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5090-4951-6

State Key Laboratory of Resources and Environmental Information System; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CCNU16A05050]; National Key Research and Development Plan of China [2016YFC0500205]; National Basic Research Program of ChinaNational Basic Research Program of China [2015CB954103]

本校为通讯机构

Discriminating human-induced vegetation change is essential for sustainable managements of arid and semi-arid ecosystems. Residual Trends method (RESTREND), an effective quantitative method, has been widely used to discriminate human-induced vegetation changes in specific arid and semi-arid ecosystems. However, how to define homogeneous spatial neighborhood to determine reference pixel for estimating potential climate-solely-induced vegetation growth is still a challenge. This paper firstly detected vegetation dynamics in ArHorqin Banner of China from 2000 to 2014 by Mann-Kendall method, and t...