Arid
Monitoring forest recovery with change metrics derived from Landsat time series stacks
Gaertner, Philipp; Kleinschmit, Birgit
通讯作者Gaertner, Philipp
会议名称2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp)
会议日期JUL 22-24, 2015
会议地点Annecy, FRANCE
英文摘要

Ecological restoration of degraded riparian Tugai forests in north-western China is a key driver to combat desertification in this region. The Chinese government launched its largest environmental restoration project in 2000 by transporting 27.98 x 10(8) m(3) (until 2011) of fresh water from an upstream dam through the dried up lower reaches of the Tarim until the end lake. The diverted water recharged the groundwater, which is considered to be the main driver for the apparent forest recovery. The presented study evaluates the long term trend in forest growth using a time series of 14 years from the Landsat satellites. Three different vegetation metrics were used as input for the pixel based trend analysis. The Theil-Sen estimator served as trend indicator. The results give restoration managers an important insight of the vegetation response and serve as decision support during the restoration project.


英文关键词forest in arid region forest recovery Landsat NDVI time series vegetation trend
来源出版物2015 8TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTI-TEMP)
出版年2015
EISBN978-1-4673-7119-3
出版者IEEE
类型Proceedings Paper
语种英语
国家Germany
收录类别CPCI-S
WOS记录号WOS:000380400100062
WOS类目Remote Sensing
WOS研究方向Remote Sensing
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/303823
作者单位Tech Univ Berlin, Geoinformat Environm Planning Lab, Berlin, Germany
推荐引用方式
GB/T 7714
Gaertner, Philipp,Kleinschmit, Birgit. Monitoring forest recovery with change metrics derived from Landsat time series stacks[C]:IEEE,2015.
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