Identification method of regional soil erosion characteristics based on drone low altitude remote sensing technology

Xiang Xie; Wenming Duan; Zhikui Yin; Wenguang Duan; Junru Bu; Yucun Lu

doi:10.1117/12.3035808

10 July 2024 Identification method of regional soil erosion characteristics based on drone low altitude remote sensing technology

Xiang Xie, Wenming Duan, Zhikui Yin, Wenguang Duan, Junru Bu, Yucun Lu

Author Affiliations +

Proceedings Volume 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024); 132230H (2024) https://doi.org/10.1117/12.3035808
Event: 2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2024), 2024, Wuhan, China

Abstract

In order to accurately identify the characteristics of regional soil erosion, this paper proposes a method for identifying the characteristics of regional soil erosion based on unmanned aerial vehicle low altitude remote sensing technology. By installing high-resolution sensors on drones, multispectral remote sensing images of the target area are obtained, and advanced image processing and analysis methods are used to extract features related to soil erosion. The experimental results show that the regional soil erosion feature recognition method based on drone low altitude remote sensing technology can accurately identify the types of soil erosion, providing strong support for soil and water conservation and ecological environment protection. The conclusion indicates that this technology has the advantages of efficiency, accuracy, and flexibility, and can be widely applied in regional soil erosion monitoring and assessment, providing scientific basis for sustainable development.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiang Xie, Wenming Duan, Zhikui Yin, Wenguang Duan, Junru Bu, and Yucun Lu "Identification method of regional soil erosion characteristics based on drone low altitude remote sensing technology", Proc. SPIE 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024), 132230H (10 July 2024); https://doi.org/10.1117/12.3035808

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available