张阳等：A 3-D Joint Simulation Platform for Multiband Remote Sensing

作者:Zhang, Y (Zhang, Yang)[ 1,2 ] ; Liu, QH (Liu, Qinhuo)[ 1 ] ; Tan, LF (Tan, Longfei)[ 3 ] ; Huang, HG (Huang, Huaguo)[ 4 ] ; Ni, WJ (Ni, Wenjian)[ 5 ] ; Yin, TG (Yin, Tiangang)[ 6 ] ; Qin, WH (Qin, Wenhan)[ 7 ] ; Sun, GQ (Sun, Guoqing)[ 8 ]  

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

卷: 10 

期: 11 

页: 4763-4778 

特刊: SI 

DOI: 10.1109/JSTARS.2017.2750223 

出版年: NOV 2017 

摘要

Canopy radiation and scattering signals contain abundant vegetation information. Many biophysical parameters can be quantitatively retrieved with the help of canopy radiation and scattering models. Joint simulation of three-dimensional (3-D) models for multiband that combines the advantages of different spectral (frequency) domains could be a useful tool for validation in remote sensing. This manuscript presents a 3-D joint simulation platform (3-DMultiSim) that simulates spectral responses from visible to microwave bands. We validated our platform with the corn field experimental data at the Huailai testing site of the Chinese Academy of Sciences. The correlation coefficients between the validation data and the simulation results were higher than 0.92, while the relative mean deviation was 15%. For the thermal infrared band, the correlation coefficient was 0.91, but the variation of the simulated directional bright temperature from 2 pi space was less than 0.4 degrees C. The reason may be due to the model limitation at high leaf area index (LAI). For the microwave bands, the simulation data and the validation data had the best consistency at L band, whereas the same trend but bigger deviation at X- and C-band. As an application of the platform, we performed sensitivity analyses of the radiation and scattering responses to LAI and incident-observation geometries at multiband. The simulation results were analyzed quantitatively. Further applications of the joint simulation platform are proposed.

通讯作者地址: Liu, QH (通讯作者)

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

 [ 3 ] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China

 [ 7 ] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA