Arid
DOI10.1117/1.JRS.7.073520
Detection of alpine tree line change with high spatial resolution remotely sensed data
Luo, Geping1; Dai, Li2
通讯作者Luo, Geping
来源期刊JOURNAL OF APPLIED REMOTE SENSING
ISSN1931-3195
出版年2013
卷号7
英文摘要

This study examined vegetation distribution and tree line change in the Sangong River watershed in the Tianshan Mountains, Xinjiang, China, using aerial photographs from 1962 and 1981 and a QuickBird image from 2006. An object-oriented classification method was used to map vegetation distribution, and the postclassification comparison approach was used to detect vegetation change. The results were linked to digital elevation model data for exploring the relationships between vegetation distribution/expansion and topographic factors. It shows that Schrenkiana is mainly distributed in the region with elevations less than 2,600 m, but its tree line can reach 2,880 m. Sabina is mainly distributed in the region with elevations within 2,600 to 2,900 m, and its highest elevation can be 3,270 m. Approximately 73% of Schrenkiana areas are distributed in aspects of 0 to 45 deg and 270 to 360 deg and 52% of Sabina areas are in aspects of 45 to 90 deg and 225 to 270 deg. The Schrenkiana expansion is mainly distributed in slopes of 20 to 40 deg (accounting for 82%) and aspects of 0 to 90 deg and 270 to 315 deg (accounting for 77%). The elevation of Schrenkiana tree lines increased by 2 to 3 m from 1962 to 2006 and of Sabina increased by 7 to 12 m from 1981 to 2006. Both Schrenkiana and Sabina expansion is mainly located in vegetation frontiers. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.


英文关键词alpine tree line arid region aerial photography QuickBird object-oriented classification change detection
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000323197300002
WOS关键词CLIMATE-CHANGE ; PICEA-ABIES ; VEGETATION ; CLASSIFICATION ; GROWTH ; VARIABILITY ; TIMBERLINE ; IMPACT ; LIMIT ; ALPS
WOS类目Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构中国科学院新疆生态与地理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/177958
作者单位1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Xingjiang, Peoples R China;
2.Guizhou Normal Univ, Sch Geog & Environm Sci, Guiyang 550001, Guizhou, Peoples R China
推荐引用方式
GB/T 7714
Luo, Geping,Dai, Li. Detection of alpine tree line change with high spatial resolution remotely sensed data[J]. 中国科学院新疆生态与地理研究所,2013,7.
APA Luo, Geping,&Dai, Li.(2013).Detection of alpine tree line change with high spatial resolution remotely sensed data.JOURNAL OF APPLIED REMOTE SENSING,7.
MLA Luo, Geping,et al."Detection of alpine tree line change with high spatial resolution remotely sensed data".JOURNAL OF APPLIED REMOTE SENSING 7(2013).
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