Applications of Remote Sensing and Sensor Technology for Unmanned Aerial Vehicle

Authors

  • Zheyu Liu

DOI:

https://doi.org/10.62051/ny848j04

Keywords:

Unmanned aerial remote sensing; multi-sensor integration techniques; multispectral; hyperspectral; LiDAR.

Abstract

As a relatively new remote sensing means, unmanned aerial vehicle (UAV) remote sensing has been widely used in the fields of agriculture, forestry, and urban construction surveying and mapping because of its low cost, high efficiency, and flexibility. This paper introduces UAV remote sensing sensor technology and its applications in different fields. First, the core role of sensors in UAV remote sensing systems is introduced, including the development of multispectral, hyperspectral, and LiDAR sensor technologies and their applications in UAV remote sensing. Then, the working principles, technical characteristics, and application scenarios of multispectral, hyperspectral, and LiDAR sensors are discussed. Then, multi-sensor integration techniques in UAV remote sensing are discussed in terms of their importance and challenges. Finally, through the application cases of agricultural monitoring, forestry resource management, and urban construction mapping, the practicality and potential of UAV remote sensing technology are shown. This paper provides a reference for the research and application of UAV remote sensing and its sensor technology in several fields. With the continuous progress and innovation of technology, UAV remote sensing technology is expected to play a key role in more fields and promote the sustainable development of related industries.

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References

[1] Deren Li, Ming Li. Research Progress and Application Prospects of UAV Remote Sensing System. Journal of Wuhan University (Information Science Edition), 2014, 39 (05): 505 - 13+40.

[2] Gang Sun, Wenjiang Huang, Pengfei Chen, et al. Progress in the application of multi-spectral remote sensing technology by light and small unmanned aircraft. Journal of Agricultural Machinery, 2018, 49 (03): 1 - 17.

[3] Chun Liu, Yun Xue, Ekranmu Akbayr, et al. Analysis of performance evaluation methods of airborne low altitude multispectral sensors. Engineering Survey, 2021, 49 (05): 34 - 9.

[4] Shuwei Wang, Qingshi Shu, Xu Ma, et al. Progress of data fusion research between LiDAR and hyperspectral imaging technology. Remote Sensing Technology and Application, 2024, 39 (01): 11 - 23.

[5] Pengfei Chen, Gang Li, Yajiao Shi, et al. Validation of an unmanned aerial hyperspectral sensor and its application in the inversion of maize leaf area index. Chinese Agricultural Science, 2018, 51 (08): 1464 - 74.

[6] Chenyang Ma, Yonggang Qian, Kun Li, et al. In-orbit spectral calibration of hyperspectral infrared sensor. Journal of Remote Sensing, 2021, 25 (08): 1618 - 32.

[7] Mengxi Xu, Yunyang Lu, Xiaoshan Tan, et al. Solid-state LiDAR sensor technology and unmanned airborne bathymetry application. Electronic Measurement Technology, 2021, 44 (15): 89 - 96.

[8] Qinghua Guo, Tianyu Hu, Jin Liu, et al. Progress in remote sensing by lightweight and small UAVs and its industry applications. Progress in Geoscience, 2021, 40 (09): 1550 - 69.

[9] Song Zhu, Pengpeng Yuan. Research and application of UAV remote sensing technology based on multi-sensor integration. Value Engineering, 2023, 42 (36): 144 - 6.

[10] Shengli Zhao, HUSSAIN M, Gobin Wang, et al. Research progress of crop growth monitoring based on UAV remote sensing. Jiangsu Agricultural Science, 2024, 52 (08): 8 - 15.

[11] Guofeng Yang, Yong He, Xuping Feng, et al. UAV remote sensing for monitoring crop pest and disease stress and the latest research progress. Intelligent Agriculture (in Chinese and English), 2022, 4 (01): 1 - 16.

[12] Yonglei Shi, Kai Zhou, Xin Shen, et al. Progress and Prospect of Forest Phenotype Monitoring Based on UAV Remote Sensing. Journal of South-Central University of Forestry Science and Technology, 2023, 43 (11): 13 - 27.

[13] Xiaolong Wang. Application of UAV remote sensing technology in forestry resources investigation and monitoring. China Forestry Specialties, 2023, (05): 96 - 7+102.

[14] Li Chen, Yongyu Zhao. UAV remote sensing device for smart city mapping engineering survey. Intelligent China, 2023, (09): 86 - 7.

[15] Dongmei Wang, Xiaoyu Yang, Yanjun Wang. Application of drone remote sensing technology in the construction of civil engineering projects. Journal of Changchun Normal University, 2023, 42 (10): 107 - 11.

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Published

26-11-2024

How to Cite

Liu, Z. (2024) “Applications of Remote Sensing and Sensor Technology for Unmanned Aerial Vehicle”, Transactions on Environment, Energy and Earth Sciences, 3, pp. 157–162. doi:10.62051/ny848j04.