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Modeling the brightness temperature distributions of three-dimensional heterogeneous vegetation scenes combining the ENVI-met and RAPID models

  • role： First author第一作者
  • Affiliation：

    Key Laboratory for Silviculture and Conservation of the Ministry of Education, Beijing Forestry University, Beijing 100083, China

  • Email：1397902693@qq.com
  • Introduction：王冰，1994年生,女，硕士研究生，研究方向为林业定量遥感。E-mail: 1397902693@qq.com
WANG Bing,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory for Silviculture and Conservation of the Ministry of Education, Beijing Forestry University, Beijing 100083, China

  • Email：huaguo_huang@bjfu.edu.cn
  • Introduction：黄华国，1978年生，男，教授，研究方向为林业定量遥感。E-mail: huaguo_huang@bjfu.edu.cn
HUANG Huaguo*,  
  • Affiliation：

    Key Laboratory for Silviculture and Conservation of the Ministry of Education, Beijing Forestry University, Beijing 100083, China

WANG Jingxu,  
  • Affiliation：

    Key Laboratory for Silviculture and Conservation of the Ministry of Education, Beijing Forestry University, Beijing 100083, China

LIAN Jun,  
  • Affiliation：

    Key Laboratory for Silviculture and Conservation of the Ministry of Education, Beijing Forestry University, Beijing 100083, China

XIE Weijia

résumé

The Land Surface Temperatures (LSTs) obtained from remote sensing data are of great value for land surface process and climate change research. However, the spatial resolution of retrieved LSTs are relatively coarse, and most of them are mixed pixel. The spatiotemporal variability and angle effects of LSTs limit the accuracy of many scientific studies, including land surface process study.The ENVI-met model is coupled with the RAPID model to quantitatively evaluate the effects of three-dimensional (3D) heterogeneous scenes on brightness temperature and brightness temperature distribution. The key to model coupling is to maintain the consistency of the scene. The component temperature output of the ENVI-met model is used as the component temperature input parameter of the RAPID model. The surface temperature distribution of the 3D scene is simulated on the basis of the reanalysis data. The global numerical forecast product called NCEP is used to provide the boundary conditions required by ENVI-met, and the horizontal temperature distribution and the thermal radiation directionality simulation test of heterogeneous scenes were carried out. In the horizontal distribution simulation study, the onboard G-LiHT data (optical imagery, Lidar data, LST observation) provides 3D scene construction input parameters and temperature field verification data. Six different heterogeneity scenes in a certain wetland area in the United States were taken as examples for the simulation and verification in this study. Moreover, the impact of broadcast direction, road, and spatial heterogeneity on the simulation results were analyzed. In the simulation study of thermal radiation directivity, a three-dimensional scene is constructed on the basis of airborne WiDAS multiangle, multispectral data. Moreover, two heterogeneous scenes in Heihe region are taken as examples for simulation and verification.Results show that the bright temperature value from the vertical observation angle obtained by simulation is close to the LST bright temperature value of G-LiHT (RMSE is 1.1K), indicating that the coupled model can effectively simulate the bright temperature distribution under different spatial heterogeneities. Bare soil simulation error is the largest (2.31K), broadcast direction has minimal effect on the simulation (less than 1.2K), and the road width affects the simulation results (approximately 1 K). The simulation accuracy of the coupled model will decrease with the increase in spatial heterogeneity. The multi-angle simulation results of the coupled model are consistent with the variation of the directional brightness temperature in the WiDAS dataset with the viewing angle, but differences in the rate and magnitude of the change are observed.The simulation method used in this work can be utilized to predict the thermal radiation directionality of the land surface during satellite transit.

mots-clés

remote sensing;ENVI-met model;RAPID model;LST;thermal radiation directionality;heterogeneous vegetation fields

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