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在台风干扰下检测跨领域红树林变化和生态响应分析
Yuchen Zhao1, Yaoru Wang1, Anjian Zhang1
1School of Information Science and Technology, Hainan Normal University, Haikou, 570100, China.
Journal of environmental management
|December 14, 2025
概括
本研究引入了一种用于监测红树林生态系统的自动化框架,在没有手动标签的情况下实现高精度检测变化. 它揭示了台风扰乱后红树林健康的"压力恢复"周期.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 气候变化科学 气候变化科学
背景情况:
- 红树林生态系统因气候变化和人类活动而面临退化.
- 有效的时空变化检测对于评估红树林健康和弹性至关重要.
- 现有的方法通常需要手动标签,限制可扩展性.
研究的目的:
- 开发一个自动化框架,用于无监督的空间-时间红树林变化检测.
- 评估红树林生态系统的生态稳定性和动态,特别是应对干扰.
- 提供关于红树林生态系统对气候灾害的抵御能力的定量见解.
主要方法:
- 提出了一个自动化框架,将可分离变压器神经网络与残余堆叠策略 (STNN-StackResNet) 结合起来.
- 实现了一个无监督的时空变化检测模型 (USTC-StackNet) 与无监督的域调整.
- 应用了框架来监测海南省东港新种植的红树林.
主要成果:
- 在没有手动标签的跨域数据集中,平均F1得分为83.75%和IOU为72.32%.
- 在东港监测的红树林面积略有增加,从662.76公增加到667.72公,表明生态稳定.
- 量化了台风后的"压力恢复"周期,显著下降 (CVI下降9.12%,NDVI在2022年下降4.62%),随后迅速恢复.
结论:
- 开发的框架提供了一个高精度的自动化工具,用于林监测和变化检测.
- 这项研究为红树林生态系统对台风等气候灾害的抵御能力提供了新的定量见解.
- 研究结果强调了理解生态系统动态对于有效的红树林保护和管理的重要性.
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