Modeling and Simulation of Millimeter Wave Radiation Characteristics of Aquatic Vegetation
- DOI
- 10.2991/smont-19.2019.6How to use a DOI?
- Keywords
- aquatic vegetation; simulation; radiant characteristic modeling; radiometer; growth characteristics
- Abstract
The pollution of aquatic vegetation has become more and more serious in China. Based on the multi-layer medium model of aquatic vegetation and the growth characteristics of the aquatic vegetation, the radiant temperature of the aquatic vegetation is simulated as a function of the angle of incidence and as a function of time. Subsequently, in order to verify advantages of the millimeter wave radiometer in monitoring the growth of aquatic vegetation, measurement of the radiant temperature of aquatic vegetation by means of radiometer with vertical polarization, horizontal polarization and fixed angle of incidence sweeping. Based on modeling and simulation, we did experiments and found through experiments that the radiant temperature of aquatic vegetation is higher than the radiant temperature of the water surface. It shows that the radiometer can effectively distinguish between water surface and aquatic vegetation. The experimental data is consistent with the trend of the simulation results, indicating that the growth of aquatic vegetation can be monitored using the millimeter wave radiometer accurately.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Shan Li AU - Guangfeng Zhang AU - Qiang Shi AU - Li Zhu AU - Hong Wang PY - 2019/04 DA - 2019/04 TI - Modeling and Simulation of Millimeter Wave Radiation Characteristics of Aquatic Vegetation BT - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019) PB - Atlantis Press SP - 21 EP - 24 SN - 1951-6851 UR - https://doi.org/10.2991/smont-19.2019.6 DO - 10.2991/smont-19.2019.6 ID - Li2019/04 ER -