期刊论文、会议论文

Xu, Lili

英文

International Geoscience and Remote Sensing Symposium (IGARSS)

2153-6996

2017

2017-July

1107-1110

37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017

IEEE International Symposium on Geoscience and Remote Sensing IGARSS

23 July 2017 through 28 July 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

Institute of Electrical and Electronics Engineers Inc.

9781509049516

10.1109/IGARSS.2017.8127150

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 Chi...