DocumentCode :
2225094
Title :
Detection of forest disturbance in the Greater Hinggan Mountain of China based on Landsat time-series data
Author :
Chen, Wei ; Sakai, Tetsuro ; Cao, Chunxiang ; Moriya, Kazuyuki ; Koyama, Lina
Author_Institution :
Dept. of Social Inf., Kyoto Univ., Kyoto, Japan
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
7232
Lastpage :
7235
Abstract :
The detection of forest disturbance, as a key process in monitoring terrestrial ecosystems, has been regarded as an effective approach for indicating the effect of various factors on biological communities. With the advancement of remote sensing technology in large-scale ecology research, we had developed a proposal to detect the change of forest community disturbance in the Greater Hinggan Mountain area of Northeast China using time-series remote sensing data. Firstly, four scenes of Landsat images from four periods of 1990-era, 2000-era, 2005-era and 2010-era were selected and pre-processed. Then, based on the Tasseled Cap transformation, the disturbance index (DI) was calculated and finally the resulting disturbance situations from different periods were analyzed. These results provided significant information on the monitoring and management of local forest.
Keywords :
ecology; forestry; geophysical image processing; time series; vegetation mapping; AD 1990 to 2010; Greater Hinggan Mountain; Landsat images; Landsat time-series data; Northeast China; Tasseled Cap transformation; biological communities; disturbance index; forest disturbance detection; large-scale ecology research; local forest management; local forest monitoring; remote sensing technology; terrestrial ecosystem monitoring; time-series remote sensing data; Brightness; Earth; Ecosystems; Indexes; Monitoring; Remote sensing; Satellites; Disturbance index; Forest disturbance; Landsat images; Remote Sensing; Time-series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351993
Filename :
6351993
Link To Document :
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