LAKE SHRINKAGE ANALYSIS USING SPECTRAL-SPATIAL COUPLED REMOTE SENSING ON TIBETAN PLATEAU

被引：4
|
作者：
Qiao, Cheng [1 ]
Luo, Jiancheng [1 ]
Sheng, Yongwei [2 ]
Shen, Zhanfeng [1 ]
Li, Junli [3 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
[2] Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA
[3] Chinese Acad Sci, Xinjiang Ecol & Geog Inst, Urumqi 830011, Peoples R China
来源：
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年
基金：
中国国家自然科学基金;
关键词：
Tibetan Plateau; remote sensing; lake extraction; shoreline detection;
D O I：
10.1109/IGARSS.2010.5653706
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Tibetan Plateau is a typical study area of global environmental change, and lake is an important ecological factor to reveal eco-environmental evolution. Using remote sensing technology to monitor the succession law of lakes on the plateau is of great significance to global environment change research. Based on water index computed by spectral feature fitting (SFF) method, this paper uses "whole-local" spatial scale transformation mechanism, along with iterative algorithm, to obtain high-precise extraction of modern lakes on the Tibetan Plateau. Moreover, uses integrated data of LANDSAT ETM+ images and SRTM data to further detect and recover paleo shorelines. By comparing paleo and modern lakes, it shows that lakes on the Tibetan Plateau have shrunk significantly since the great lake period, which provides fundamental information support to researches on global paleo-climatology and paleo-hydrology change.
引用
收藏
页码：926 / 929
页数：4
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