Knowledge Resource Center for Ecological Environment in Arid Area
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 |
EISBN | 978-1-4673-7119-3 |
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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