Title :
Automatic deforestation detection using time series Landsat images in a tropical forest of China
Author :
Pang Yong ; Zhang Lianhua ; Huang Chengquan ; Yu Xinfang ; Li Zengyuan
Author_Institution :
Inst. of Forest Resource Inf. Tech., CAF, Beijing, China
Abstract :
In this paper, we compared two versions of the Vegetation Change Tracker (VCT) algorithm, one based on the Integrated Forest Index (IFI) and the other on Disturbance index (DI) derived using the tasseled cap transformation. Time series Landsat ETM+ data from 1999 to 2010 were used in a tropical site of Xishuangbanna, Yunnan province of China. The results were evaluated using 376 field plots. The accuracies of IFI-VCT and DI-VCT are 82.7% and 79.9%, respectively. These two algorithms had different performances in different areas. The DI enhanced the separability between some tall agriculture and forest. Haze and seasonality affect DI result more than IFI.
Keywords :
geophysical techniques; remote sensing; vegetation; AD 1999 to 2010; China tropical forest; Disturbance index; Integrated Forest index; VCT algorithm; Vegetation Change Tracker; Xishuangbanna tropical site; Yunnan province; automatic deforestation detection; tasseled cap transformation; time series Landsat ETM+ data; time series Landsat images; Accuracy; Agriculture; Earth; Indexes; Remote sensing; Satellites; Time series analysis; Tropical forest; deforestation; disturbance index; integrated forest index; time series Landsat image;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723677
