Insect-Equivalent Radar Cross-Section Model Based on Field Experimental Results of Body Length and Orientation Extraction
Migratory insects constitute a valuable component of atmospheric and terrestrial biomass, and their migratory behavior provides abundant information for insect management and ecological effect assessment. Effective monitoring of migratory insects contributes to the evaluation and forecasting of cata...
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MDPI AG
2022-01-01
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author | Rui Wang Xiao Kou Kai Cui Huafeng Mao Shuaihang Wang Zhuoran Sun Weidong Li Yunlong Li Cheng Hu |
author_facet | Rui Wang Xiao Kou Kai Cui Huafeng Mao Shuaihang Wang Zhuoran Sun Weidong Li Yunlong Li Cheng Hu |
author_sort | Rui Wang |
collection | DOAJ |
description | Migratory insects constitute a valuable component of atmospheric and terrestrial biomass, and their migratory behavior provides abundant information for insect management and ecological effect assessment. Effective monitoring of migratory insects contributes to the evaluation and forecasting of catastrophic migration events, such as pest outbreaks. With a large-scale monitoring technique using S-band weather radar, the insect density is estimated based on the linear relationship between radar reflectivity and the average radar cross-section (RCS) of the insects. However, the average RCS model neglects the morphological and observation parameters of the insects, which reduces the estimation accuracy. In this paper, we established an insect-equivalent RCS model based on the joint probability distribution of “body length–incident angle”. Then, we observed and extracted the morphological and observational parameters of the migratory insects by conducting a 69-day field experiment, using a Ku-band fully polarimetric entomological radar, in Dongying, Shandong Province, China. Finally, combined with the experimental results and the simulated scattering characteristics of individual insects with different body lengths, the typical insect-equivalent RCS model was established. The RCS of the model fluctuates between 0.233 mm<sup>2</sup> and 0.514 mm<sup>2</sup>, with different incident angles. Our results lay a data foundation for the quantitative analysis of insects by weather radar. |
first_indexed | 2024-03-09T23:14:36Z |
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id | doaj.art-5b89f754080549f28452588af5803d6d |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-09T23:14:36Z |
publishDate | 2022-01-01 |
publisher | MDPI AG |
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series | Remote Sensing |
spelling | doaj.art-5b89f754080549f28452588af5803d6d2023-11-23T17:38:47ZengMDPI AGRemote Sensing2072-42922022-01-0114350810.3390/rs14030508Insect-Equivalent Radar Cross-Section Model Based on Field Experimental Results of Body Length and Orientation ExtractionRui Wang0Xiao Kou1Kai Cui2Huafeng Mao3Shuaihang Wang4Zhuoran Sun5Weidong Li6Yunlong Li7Cheng Hu8School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaAdvanced Technology Research Institute, Beijing Institute of Technology, Jinan 250300, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaMigratory insects constitute a valuable component of atmospheric and terrestrial biomass, and their migratory behavior provides abundant information for insect management and ecological effect assessment. Effective monitoring of migratory insects contributes to the evaluation and forecasting of catastrophic migration events, such as pest outbreaks. With a large-scale monitoring technique using S-band weather radar, the insect density is estimated based on the linear relationship between radar reflectivity and the average radar cross-section (RCS) of the insects. However, the average RCS model neglects the morphological and observation parameters of the insects, which reduces the estimation accuracy. In this paper, we established an insect-equivalent RCS model based on the joint probability distribution of “body length–incident angle”. Then, we observed and extracted the morphological and observational parameters of the migratory insects by conducting a 69-day field experiment, using a Ku-band fully polarimetric entomological radar, in Dongying, Shandong Province, China. Finally, combined with the experimental results and the simulated scattering characteristics of individual insects with different body lengths, the typical insect-equivalent RCS model was established. The RCS of the model fluctuates between 0.233 mm<sup>2</sup> and 0.514 mm<sup>2</sup>, with different incident angles. Our results lay a data foundation for the quantitative analysis of insects by weather radar.https://www.mdpi.com/2072-4292/14/3/508migratory insectsweather radarradar cross sectionsbody length distributionorientation distribution |
spellingShingle | Rui Wang Xiao Kou Kai Cui Huafeng Mao Shuaihang Wang Zhuoran Sun Weidong Li Yunlong Li Cheng Hu Insect-Equivalent Radar Cross-Section Model Based on Field Experimental Results of Body Length and Orientation Extraction Remote Sensing migratory insects weather radar radar cross sections body length distribution orientation distribution |
title | Insect-Equivalent Radar Cross-Section Model Based on Field Experimental Results of Body Length and Orientation Extraction |
title_full | Insect-Equivalent Radar Cross-Section Model Based on Field Experimental Results of Body Length and Orientation Extraction |
title_fullStr | Insect-Equivalent Radar Cross-Section Model Based on Field Experimental Results of Body Length and Orientation Extraction |
title_full_unstemmed | Insect-Equivalent Radar Cross-Section Model Based on Field Experimental Results of Body Length and Orientation Extraction |
title_short | Insect-Equivalent Radar Cross-Section Model Based on Field Experimental Results of Body Length and Orientation Extraction |
title_sort | insect equivalent radar cross section model based on field experimental results of body length and orientation extraction |
topic | migratory insects weather radar radar cross sections body length distribution orientation distribution |
url | https://www.mdpi.com/2072-4292/14/3/508 |
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