Fractional Forest Cover Changes in Northeast China From 1982 to 2011 and Its Relationship With Climatic Variations

作者:Jia, K (Jia, Kun)[ 1,2 ] ; Liang, SL (Liang, Shunlin)[ 3,2,4 ] ; Wei, XQ (Wei, Xiangqin)[ 5 ] ; Li, QZ (Li, Qiangzi)[ 5 ] ; Du, X (Du, Xin)[ 5 ] ; Jiang, B (Jiang, Bo)[ 1,2 ] ; Yao, YJ (Yao, Yunjun)[ 1,2 ] ; Zhao, X (Zhao, Xiang)[ 1,2 ] ; Li, YW (Li, Yuwei)[ 1,2 ]

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING

卷: 8  期: 2  页: 775-783

DOI: 10.1109/JSTARS.2014.2349007

出版年: FEB 2015

摘要

Forest cover information is essential for natural resource management and for climate change studies. In this paper, the fractional forest cover (FFC) in Northeast China was estimated using neural networks (NNs) based on the Global Inventory Modeling and Mapping Studies (GIMMS3g) Normalized Difference Vegetation Index (NDVI) data with 8-km resolution from 1982 to 2011. Furthermore, the relationship between FFC and two key climatic parameters (temperature and precipitation) was also analyzed. The validation results indicated a satisfactory performance (R-2 = 0.81, RMSE = 11.7%) of the FFC estimation method using NNs and time-series GIMMS3g NDVI data. The temporal and spatial characteristics of FFC changes were analyzed. The forest cover had a slightly decreasing trend during the study period for the entire Northeast China region. However, there were two distinct periods with opposite trends in the FFC change. The FFC had first increased from 1982 to 1998 (0.391% year(-1)), and then decreased from 1998 to 2011 (-0.667% year(-1)). The correlation analysis between the FFC and the climatic variations suggested that temperature and precipitation were not the decisive factors on controlling FFC changes in most of the Northeast China regions, and active forest disturbance might be the more important factor for FFC change in Northeast China.

通讯作者地址: Jia, K (通讯作者)

Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.

地址:

[ 1 ] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

[ 2 ] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China

[ 3 ] Beijing Normal Univ, Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

[ 4 ] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA

[ 5 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China