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

fYear

2013

fDate

21-26 July 2013

Firstpage

3872

Lastpage

3875

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723677

Filename

6723677