Application of UAV Multi-spectral Remote Sensing Technology in Vegetation Data Analysis of Power Transmission Project Construction
Objective: This study aims to investigate the application of UAV multispectral remote sensing technology in vegetation data analysis for power transmission and transformation engineering construction. It proposes protective measures for vegetation during the construction of power transmission and transformation projects, with the goal of providing reference for related engineering projects. Methods: By analyzing relevant data, the relationship between the vegetation types in permanent land occupation, temporary land occupation, and evaluation areas of high-voltage power transmission and transformation projects is explored. The study also compares the advantages of UAV multispectral remote sensing technology in data analysis with traditional manual statistics. Results: UAV remote sensing technology allows for detailed investigation of crop growth, pest and disease conditions, nutrition, moisture, etc., providing real and reliable crop information. Conclusion: UAV multispectral remote sensing technology, driven by advanced information technology, proves to be highly effective in vegetation data analysis for power transmission and transformation construction projects. It facilitates rapid, accurate, and objective analysis, offering significant advantages over traditional manual methods. These benefits include enhanced efficiency, improved objectivity, and greater authenticity, all of which contribute to more reliable and precise data for vegetation management in power transmission and transformation projects.
Authors
- Jinxiong Yao (ORCID: https://orcid.org/0009-0000-8158-552X)
- Chaoyu Feng
- Han Zhang (ORCID: https://orcid.org/0000-0002-4485-066X)
- Liang Wang (ORCID: https://orcid.org/0000-0002-5897-4401)
- Lei Lei (ORCID: https://orcid.org/0000-0002-9144-0559)
Institutions
- China XD Group (China) (CN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/itcem65710.2024.00040
- Primary Topic
- Remote Sensing and Land Use
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science and Technology Project of State Grid