Title :
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
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;
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-849-5
DOI :
10.1109/GeoInformatics.2011.5980665