Information extraction of fast-growing plantation based on remote sensing

Author

Sun, Feifei ; Zhang, Zengxiang ; Liu, Fang ; Wen, Qingke ; Xu, Rong

Author_Institution

Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China

fYear

2011

fDate

24-26 June 2011

Firstpage

1

Lastpage

4

Abstract

By allowing the estimation of forest structural and biophysical characteristics at different temporal and spatial scales, remote sensing may contribute to our understanding and monitoring of planted forests. In this paper, we used multi-temporal data from Landsat TM to investigate 9-year time-series of the Normalized Difference Vegetation Index (NDVI) in Dongying city, Shandong province, China. According to the short rotation and fast update characteristics of fast-growing plantation, found oscillations and obvious deviations of NDVI values from the normal NDVI variation trends, and extract fast-growing plantations distribution areas of Dongying, Shandong province, China.

Keywords

forestry; time series; vegetation mapping; China; Dongying city; Landsat TM; NDVI oscillations; NDVI time series; Shandong province; fast growing plantation; forest biophysical characteristics estimation; forest structural characteristics estimation; information extraction; multitemporal data; normal NDVI variation trends; normalized difference vegetation index; planted forest monitoring; remote sensing; Data mining; Earth; Feature extraction; Indexes; Remote sensing; Satellites; Vegetation mapping; Fast-growing plantation; Landsat TM; NDVI; remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2011 19th International Conference on

Conference_Location

Shanghai

ISSN

2161-024X

Print_ISBN

978-1-61284-849-5

Type

conf

DOI

10.1109/GeoInformatics.2011.5980665

Filename

5980665