Research on the Application of UAV Remote Sensing in Biodiversity Monitoring

Dingrui Xie

doi:10.47297/taposatWSP2633-456929.20250608

PDF
导出
分享
收藏
专辑

Research on the Application of UAV Remote Sensing in Biodiversity Monitoring

6卷第8期

浏览量: 0 Downloads: 0

Research on the Application of UAV Remote Sensing in Biodiversity Monitoring
Research on the Application of UAV Remote Sensing in Biodiversity Monitoring
School of Mechanical and Electrical Engineering, Ningde Normal University, Ningde, Fujian, 352100, China
2025年6卷第8期页码：159-163
纸质出版：2025-08-30
DOI：10.47297/taposatWSP2633-456929.20250608
Accepted：

Scan QR Code

(2025). Research on the Application of UAV Remote Sensing in Biodiversity Monitoring. 科技理论与实践（英文版）, 6(8), 159-163.

Xie Dingrui.Research on the Application of UAV Remote Sensing in Biodiversity Monitoring[J].Theory and Practice of Science and Technology,2025,06(08):159-163.
(2025). Research on the Application of UAV Remote Sensing in Biodiversity Monitoring. 科技理论与实践（英文版）, 6(8), 159-163. DOI： 10.47297/taposatWSP2633-456929.20250608.

Xie Dingrui.Research on the Application of UAV Remote Sensing in Biodiversity Monitoring[J].Theory and Practice of Science and Technology,2025,06(08):159-163. DOI： 10.47297/taposatWSP2633-456929.20250608.

摘要

Abstract

UAV remote sensing technology integrates unmanned aerial vehicles

communication

remote sensing

navigation (GPS) and Information Message Units(IMU) and other technologies

and has the ability to quickly obtain space information.In the context of accelerated global biodiversity loss

this technology provides a new means for biodiversity monitoring. The detection of biological diversity through remote sensing technology provides a new paradigm for species distribution modeling and ecosystem function research. With the decline of biological species around the world

the use of remote sensing technology provides key data support for the protection of endangered species.After the application of remote sensing technology to biodiversity detection

it helps to reduce technical costs

improve the quality of people's living environment

enrich people's spiritual values

etc.

thereby producing positive social and economic impacts.This paper systematically sorts out the core principles and application status of UAV remote sensing technology

analyzes the adaptability of different sensors in animal and plant monitoring. That is the monitoring effect of different sensors under different lighting conditions

and discusses the path of constructing a collaborative monitoring method system for animals and plants

aiming to provide technical support for biodiversity conservation and ecological assessment.

关键词

Keywords

references

Gao Fensheng. Application and development of low-altitude UAV remote sensing [J]. Agricultural Network Information, 2014 (12):75-78.

Li Gangyong, Chen Chunbo, Li Junli, et al. Application progress of low-altitude UAV remote sensing in grassland monitoring and evaluation [J]. Chinese Journal of Ecology,2023, 43 (16):6889-6901.

Yang Hongyan, Du Jianmin, Ruan Peiying, et al. Desert grassland vegetation classification method based on UAV remote sensing and random forest [J]. Transactions of the Chinese Society of Agricultural Machinery,2021, 52 (06):186-194.

Guo Qinghua, Hu Tianyu, Jiang Yuanqian, et al. Application progress of remote sensing in biodiversity research [J]. Biodiversity,2018,26 (08):789-806.

Han Jie, Wang Zheng. Research on Key Technologies of UAV Remote Sensing Land and Resources Rapid Monitoring System [J]. Bulletin of Surveying and Mapping,2008 (02):4-6 15.

Sun Jie, Lin Zongjian, Cui Hongxia. UAV Low-altitude Remote Sensing Monitoring System [J]. Remote Sensing Information, 2003, (01): 49-50 27.

Zhao Qingzhan, Liu Wei, Yin Xiaojun, et al. Research on the optimal band combination based on UAV multi-spectral image features [J]. Transactions of the Chinese Society of Agricultural Machinery, 2016, 47 (03): 242-248 291.

Lei Runlong, Lu Yaling, Li Lin, et al. Bio-metrics based on infrared sensors [J]. Electronic Design Engineering, 2016, 24 (13): 95-97.

Feng Li, Ming Dong, Xu Rui, et al. Research progress of pyroelectric infrared sensors in the field of biometric recognition [J]. Modern Instruments, 2011, 17 (03): 10-14.

Wang Yaru, Yang Beifang, Lei Yaping, et al. Analysis of Temperature Variation Characteristics of Cotton Leaves Based on Infrared Sensors and Its Influencing Factors [J]. Journal of Cotton Research, 2022, 34 (03): 235-246.

Wang Yanxiong, Chen Qianlong, Zhou Xiaoman, et al. Research progress on microwave biosensors based on polydimethylsiloxane microfluidic chips. [J]. Analytical Chemistry, 2024, 52 (12): 1797-1806.

Nie Wenjin, Zhang Shiwan. Research on identification methods of plant diseases and pests based on multispectral cameras [J]. Agricultural Development and Equipment, 2025, (06): 56-59.

Meng Xia, Jack Behan, Nigel J Cook, et al. Application of Infrared Thermal Imaging in Biological Monitoring of Pigs [J]. Foreign Animal Husbandry (Pigs and Poultry), 2022, 42 (05): 23-26.

文章被引用时，请邮件提醒。

Submit

No data

Related Author

No data

Related Institution

No data

⁰