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福建省地质科学研究院,福州 350000
Received:19 January 2026,
Revised:2026-02-09,
Accepted:21 February 2026,
Published:28 June 2026
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郑迎凯,周小栋,林敏,等.南方花岗岩区崩岗综合遥感识别:以安溪官桥为例[J].水土保持学报,2026,40(3):86-98.2026, 40(3):86-98.
ZHENG Yingkai, ZHOU Xiaodong, LIN Min, et al. Comprehensive remote sensing identification of Benggang in granite regions of southern China: A case study of Guanqiao, Anxi[J]. Journal of Soil and Water Conservation,
郑迎凯,周小栋,林敏,等.南方花岗岩区崩岗综合遥感识别:以安溪官桥为例[J].水土保持学报,2026,40(3):86-98.2026, 40(3):86-98. DOI: 10.13870/j.cnki.stbcxb.2026.03.036. CSTR: 32310.14.stbcxb.2026.03.036.
ZHENG Yingkai, ZHOU Xiaodong, LIN Min, et al. Comprehensive remote sensing identification of Benggang in granite regions of southern China: A case study of Guanqiao, Anxi[J]. Journal of Soil and Water Conservation, DOI: 10.13870/j.cnki.stbcxb.2026.03.036. CSTR: 32310.14.stbcxb.2026.03.036.
目的
2
崩岗侵蚀是我国南方花岗岩区最严重的土壤侵蚀类型,给生态环境带来巨大危险。传统崩岗调查以人工调查为主,存在效率低、危险性大等缺点,随着现代遥感技术的发展,亟需一套有效的崩岗遥感识别方法。
方法
2
以福建安溪县官桥崩岗密集发育地区为研究区,综合运用高分辨率遥感影像、无人机摄影测量、合成孔径雷达等分析处理技术,对研究区崩岗进行多尺度遥感识别,综合运用多源遥感技术并结合野外调查,分析南方花岗岩区崩岗分布规律以及活动特征,总结并评价南方花岗岩区崩岗综合遥感识别方法体系。
结果
2
研究识别崩岗总数104个,崩岗总面积2.82 km
2
,其中区内以活动型崩岗为主,面积为1.97 km
2
,发育密度为1.82个/km
2
,崩岗发育的类型以瓢形、爪形为主。综合遥感方法能够有效识别崩岗侵蚀边界、崩岗形态类型、崩岗侵蚀活动阶段,最终在GIS平台上进行集成,得到研究区崩岗综合评价成果。
结论
2
构建适用于南方花岗岩区崩岗综合遥感识别方法体系,采用该方法进行大范围崩岗调查可以弥补单一方法手段的不足,提高效率,为该区域生态保护、植被恢复和防灾减灾提供技术支撑。研究主要是应用于花岗岩区域内的崩岗,对于其他地质背景下发生的崩岗,该方法体系具有一定普适性。
Objective
2
Benggang erosion is the most severe type of soil erosion in the granite regions of southern China, posing a great threat to the ecological environment. Traditional Benggang surveys mainly rely on manual investigation and have drawbacks such as low efficiency and high risk. With the development of modern remote sensing technology, an effective remote sensing identification method system for Benggang is urgently needed.
Methods
2
The study took the densely developed Benggang area of Guanqiao, Anxi County, Fujian Province as the study area. High-resolution remote sensing images, unmanned aerial vehicle (UAV) photogrammetry, synthetic aperture radar, and other analytical techniques were comprehensively applied to conduct multi-scale remote sensing identification of Benggang in the study area. By integrating multi-source remote sensing technology with field investigation, this study analyzed the distribution patterns and activity characteristics of Benggang in the granite regions of southern China, and summarized and evaluated the comprehensive remote sensing identification method system for Benggang.
Results
2
A total of 104 Benggang were identified, covering a total area of 2.82 km². Among them, active Benggang predominated, with an area of 1.97 km² and a development density of 1.82 per km². The main morphological types of Benggang were scoop-shaped and claw-shaped. The comprehensive remote sensing method effectively identified Benggang erosion boundaries, morphological types, and erosion activity stages. Finally, the results were integrated on a GIS platform to obtain a comprehensive evaluation of Benggang in the study area.
Conclusion
2
A comprehensive remote sensing identification method system suitable for Benggang in granite regions of southern China is established. The application of this method to large-scale Benggang surveys can compensate for the limitations of single approaches, improve efficiency, and provide technical support for ecological protection, vegetation restoration, and disaster prevention and mitigation in these regions. This study mainly focuses on Benggang in the granite regions, but the proposed method system also shows certain applicability to Benggang occurring under other geological settings.
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