Information extraction of fast-growing plantation based on remote sensing

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.