Urban Hydrological Extraction Based on Otsu Threshold: A Case Study in Zhejiang Province, China
This work uses advanced remote sensing to precisely extract hydrological information, supporting transmission network planning. High-resolution water body mapping lets designers optimize routes to avoid ecologically sensitive areas, achieving environmental protection, cost efficiency, and enhanced operational safety. The methodology provides a scalable, replicable framework for intelligent obstacle avoidance in power grid development, applicable to other regions and sectors with similar planning needs.
Authors
- Hongyu Sun (ORCID: https://orcid.org/0000-0002-5926-4495)
- Yunyun Qi (ORCID: https://orcid.org/0000-0002-5078-8866)
- Lijun Hu (ORCID: https://orcid.org/0009-0006-7939-631X)
- Xuedong Zheng
- Ling Peng (ORCID: https://orcid.org/0009-0009-6170-7230)
- Liang Liu (ORCID: https://orcid.org/0000-0002-6773-2324)
- Yinghui Han (ORCID: https://orcid.org/0000-0002-2167-7024)
- Jiahui Chen (ORCID: https://orcid.org/0000-0002-0795-7468)
Institutions
- Chinese Academy of Sciences (CN)
- Fujian Electric Power Survey & Design Institute (CN)
- Aerospace Information Research Institute (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Journal of Electronic Research and Application
- Published
- 2025-04-02
- DOI
- https://doi.org/10.26689/jera.v9i2.9994
- Primary Topic
- Hydrological Forecasting Using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00