Monitoring Broadleaf Forest Pest Based on L-Band SAR Tomography

4th International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Cao, Kunkun^1^2 ; Tan, Weixian^1^2 ; Li, Xinwu^3 ; Xu, Wei^1^2 ; Huang, Pingping^1^2 ; Fu, Wenxue^3 ; Liang, Lei^3 ; Li, Xiujuan^1^2 ; Peng, Xing^4

College of Information Engineering, Inner Mongolia University of Technology, Hohhot, Inner-Mongolia

010051, China^1

Inner Mongolia Key Laboratory of Radar Technology and Application, Inner Mongolia University of Technology, Hohhot, Inner-Mongolia

010051, China^2

Key Laboratory of Digital Earth Sciences, Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing

100094, China^3

Central South University, Changsha, Hunan

410083, China^4

关键词: 3D Structure;    Broadleaf forest;    Echo data;    Forest pest;    L-band SAR;    Physical geometry;    Structural information;    Synthetic aperture radar tomographies;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/237/5/052004/pdf
DOI  :  10.1088/1755-1315/237/5/052004

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Synthetic aperture radar tomography (TomoSAR) has been proved to be able to reconstruct 3D reflectance of volumetric targets, such as vegetation. It gives us an opportunity and a possibility to monitor forest pest through extracting 3D structural information of the forest. In this paper, TomoSAR echo data of normal and pest forest are simulated with PolSAR Pro at L-band before and after the pest respectively, after analysing physical geometry and backscattering properties of forest pest and disease. Then, a method used for extracting 3D structure information of the forest is presented and discussed. Finally, differences between the normal and pest forest are demonstrated and analyzed with the TomoSAR imaging results.