开发洪水检测框架,集成合成孔径雷达极度测量和机器学习,用于半城市植被系统
Ruma Adhikari1, Alok Bhardwaj1
1Department of Civil Engineering, Indian Institute of Technology Roorkee, India.
Journal of environmental management
|December 7, 2025
概括
这项研究引入了一种使用Sentinel-1合成孔径雷达 (SAR) 极度度测量的新型洪水检测方法. 该方法准确地绘制了半城市植被中的洪水范围,提高了对气候变化影响的抵御力.
科学领域:
- 遥感 遥感 遥感 遥感
- 环境科学 环境科学
- 生态系统管理 生态系统管理
背景情况:
- 半城市植被系统对生态系统稳定至关重要,但易受洪水影响,需要气候变化适应力战略.
- 使用地球观测在这些地区检测洪水是具有挑战性的,因为复杂的雷达信号散射和各种各样的表面条件.
- 合成孔径雷达 (SAR) 极度测量通过分析散射模式,有可能通过分析散射模式来区分被洪水淹没的地区和未被洪水淹没的地区.
研究的目的:
- 开发和验证使用Sentinel-1 SAR数据对半城市植被系统的新型洪水检测方法.
- 通过整合振幅和相位信息来提高洪水检测的准确性,克服仅强度方法的局限性.
- 评估模型在各种洪水事件和地理位置上的可转移性,以实现可扩展的洪水管理.
主要方法:
- 提出了一个新的洪水指数 (FI),结合了极化程度 (DOP),线性极化比率 (LPR) 和SAR共变矩阵的自身值.
- 该FI整合了振幅和相位数据,不同于传统的基于强度的指数,如规范差异洪水指数 (NDFI) 和VH/VV比率.
- 一个随机森林模型,在FI上训练使用引导抽样,被应用于用于Sentinel-1SAR数据的洪水范围绘图.
主要成果:
- 拟议的洪水指数 (FI) 在多个研究地点的Otsu和NDFI方法相比,在洪水检测方面表现优越.
- 随机森林模型实现了高准确度,F1得分从0.81到0.86不等,交叉点在欧盟得分从0.70到0.76.
- 该模型表现出较低的假负率 (0.09-0.17) 和中等的假阳性率 (0.19-0.39),表明可靠的洪水范围划分.
结论:
- 开发的基于SAR极度测量的洪水检测方法提供了准确和可转移的半城市植被地区的洪水映射.
- 通过拟议的洪水指数整合相位信息,大大提高了洪水检测能力.
- 这些发现支持对面临气候变化的脆弱半城市生态系统增强的抗洪能力和可扩展的管理策略.
更多相关视频
07:13Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
Published on: February 25, 2021
4.3K
12:26Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
Published on: October 11, 2016
13.8K
相关概念视频
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
270
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
270
Applications of GIS: Disaster Management and Emergency Response
437
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
437
Light Acquisition
9.3K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
9.3K
