完善的综合框架对洪水造成的作物损害和恢复评估:一个多源地球观测和参与地图在Hadejia,尼日利亚
Lukumon Olaitan Lateef1, Hugo Costa2, Pedro Cabral3
1NOVA Information Management School (NOVA IMS), Universidade NOVA de Lisboa, Campus de Campolide, 1070-312, Lisboa, Portugal.
Journal of environmental management
|May 1, 2025
概括
一个使用卫星图像的新框架准确评估了作物损坏和洪水恢复. 这种综合方法提高了粮食安全规划和农民补偿,克服了传统方法的局限性.
科学领域:
- 环境科学 环境科学
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
背景情况:
- 洪水对全球粮食安全构成重大威胁.
- 现有用于洪水绘图的遥感方法存在局限性,包括光学图像的云干扰和合成孔径雷达 (SAR) 数据的时间分辨率不足.
- 需要综合框架,将遥感和调查数据结合起来,以准确评估洪水损害和恢复.
研究的目的:
- 开发和验证一种用于模拟作物损害,损失和恢复的新型框架,使用时间序列多传感器卫星图像.
- 评估尼日利亚2020年和2022年洪水期间的作物损害和恢复情况.
- 用参与式地图数据验证基于遥感的作物恢复评估.
主要方法:
- 使用时间序列多传感器卫星图像 (光学和SAR).
- 开发了一个综合框架,将遥感数据与机器学习技术结合起来.
- 经过验证的遥感结果与农民提供的广泛的参与式绘图数据.
主要成果:
- 在洪水绘图和作物恢复评估中达到90%以上的准确性.
- 农民报告的损失与基于遥感的损害评估之间有明显的一致性 (91%的农作物总损失达成一致,没有恢复).
- 发现严重的洪水破坏,仅有13% (2020) 和16% (2022) 的被洪水淹没的耕地恢复.
结论:
- 综合框架有效地模拟了作物损害和恢复,克服了个人遥感技术和参与制图的局限性.
- 该方法为国家一级的实施提供了可扩展性,为灾害规划,补偿和气候适应性农业提供了关键数据.
- 面对气候变化日益严重的影响,这种方法对于加强粮食安全至关重要.
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