Quantifying Multi-Decadal Change of Planted Forest Cover Using Airborne LiDAR and Landsat Imagery

作者:Wang, XY (Wang, Xiaoyi)[ 1,2 ] ; Huang, HB (Huang, Huabing)[ 1,2 ] ; Gong, P (Gong, Peng)[ 1,3,4 ] ; Biging, GS (Biging, Gregory S.)[ 2 ] ; Xin, QC (Xin, Qinchuan)[ 5 ] ; Chen, YL (Chen, Yanlei)[ 2 ] ; Yang, J (Yang, Jun)[ 3 ] ; Liu, CX (Liu, Caixia)[ 1 ]

REMOTE SENSING

卷: 8  期: 1

文献号: 62

DOI: 10.3390/rs8010062

出版年: JAN 2016

摘要

Continuous monitoring of forest cover condition is key to understanding the carbon dynamics of forest ecosystems. This paper addresses how to integrate single-year airborne LiDAR and time-series Landsat imagery to derive forest cover change information. LiDAR data were used to extract forest cover at the sub-pixel level of Landsat for a single year, and the Landtrendr algorithm was applied to Landsat spectral data to explore the temporal information of forest cover change. Four different approaches were employed to model the relationship between forest cover and Landsat spectral data. The result shows incorporating the historic information using the temporal trajectory fitting process could infuse the model with better prediction power. Random forest modeling performs the best for quantitative forest cover estimation. Temporal trajectory fitting with random forest model shows the best agreement with validation data ( 

R 2 

= 0.82 

and 

R M S E = 5.19 % 

). We applied our approach to Youyu county in Shanxi province of China, as part of the Three North Shelter Forest Program, to map multi-decadal forest cover dynamics. With the availability of global time-series Landsat imagery and affordable airborne LiDAR data, the approach we developed has the potential to derive large-scale forest cover dynamics.

通讯作者地址: Huang, HB; Gong, P (通讯作者)

Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.

通讯作者地址: Huang, HB (通讯作者)

Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA.

通讯作者地址: Gong, P (通讯作者)

Tsinghua Univ, Ctr Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China.

通讯作者地址: Gong, P (通讯作者)

  Joint Ctr Global Change Studies, Beijing 100875, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[ 2 ] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA

[ 3 ] Tsinghua Univ, Ctr Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China

[ 4 ] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China

[ 5 ] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Guangdong, Peoples R China