结合多传感器图像和社交网络数据,评估风事件淹没的地区
Rafael Hernández-Guzmán1, Arturo Ruiz-Luna2
1CONAHCYT - Instituto de Investigaciones sobre los Recursos Naturales, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, Mexico.
PeerJ
|May 3, 2024
概括
威拉风淹没了1,225平方公里的土地,其中农业受到影响最大. 这项研究使用遥感绘制了土地利用和洪水范围的地图,为湿地保护和气候变化适应战略提供了可靠的数据.
科学领域:
- 环境科学与遥感 环境科学与遥感
- 自然危险评估和灾害管理
背景情况:
- 威拉风于2018年10月24日登陆,造成严重的洪水.
- 准确地描述土地使用和洪水范围对于有效的环境管理和灾害应对至关重要.
- 以前的评估可能受到快速水资源衰退和数据可用性的挑战.
研究的目的:
- 用多传感器遥感数据来描述风威拉淹没的土地使用和土地覆盖面 (LULC).
- 为马里斯马斯国家地区生成准确的LULC和洪水地图.
- 提供可靠的数据,为湿地保护,恢复和适应气候变化的战略提供信息.
主要方法:
- 无监督的K-means算法应用于Sentinel-2多谱仪器 (MSI) 图像进行LULC表征.
- 对Sentinel-1合成孔径雷达 (SAR) 和Sentinel-2MSI图像进行洪水绘图的应用.
- 使用现场调查和地理引用的社交网络数据验证LULC和洪水地图.
主要成果:
- 在LULC的地图中,准确度达到92%,农业被确定为占主导地位的土地使用 (2,624平方公里).
- 洪水地图总体准确率达到了90%,显示了1,225平方公里被洪水淹没的面积.
- 农业阶层受到影响最大 (735平方公里),328平方公里盐沼被淹没.
结论:
- LULC和洪水地图的高精度表明了风后评估的可靠输出.
- 这些发现支持制定有效的战略,以保护和恢复国家湿地.
- 改进的数据使地方政府和居民能够做出有关气候变化威胁的明智决策.
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