MODELLING MICROWAVE BACKSCATTER FROM CORN WITH 3D MODELS AND EM SOLVERS IN A PERIODIC ENVIRONMENT

被引：0
|
作者：
Roberts, A. Kaleo [1 ]
Sarabandi, Kamal [1 ]
Judge, Jasmeet [2 ]
机构：
[1] Univ Michigan, Ann Arbor, MI 48109 USA
[2] Univ Florida, Gainesville, FL USA
来源：
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2022年
关键词：
Radar; corn; FEM; periodic surface; 3D model; soil moisture; vegetation; biomass;
D O I：
10.1109/IGARSS46834.2022.9884882
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Monitoring corn fields with radar to measure soil moisture and biomass may yield benefits in corn cultivation. To do this, accurate forward models of corn backscatter are needed. Current models approximate the plant geometry with canonical shapes like cylinders and disks. Plant geometry and scattering may be accurately represented with 3D models and an appropriate electromagnetics solver. Using a finite-element method solver with periodic boundaries, qualitative agreement for corn backscatter is shown.
引用
收藏
页码：547 / 550
页数：4
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