自然资源高频次卫星遥感监测----洪涝灾害遥感监测产品

基于高频次卫星遥感影像，利用自动提取技术，深度学习地物特征，针对洪涝灾害用地，构建用地样本知识库，实现洪涝灾害的自动提取，形成了洪涝灾害专题监测产品。
利用光学、多光谱等多源遥感影像，采用深度学习算法，开展长时序的洪涝灾害监测，第一时间完成灾前、灾中高频次及长时序监测，为抗洪救灾提供了决策支持。

Based on high-frequency satellite remote sensing imagery, automatic extraction technologies and deep learning models were employed to extract ground object features. A land use sample knowledge base targeting flood disaster-related land use was constructed, enabling automatic extraction of flood disasters and resulting in the development of thematic flood disaster monitoring products.
By utilizing multi-source remote sensing imagery including optical and multispectral data and adopting deep learning algorithms, long time series flood disaster monitoring was carried out. High-frequency and long time series monitoring before and during the disaster were completed in a timely manner, providing decision support for flood control and disaster relief.

搜集汇总

背景与挑战

背景概述

该数据集利用多源遥感影像和深度学习技术，实现洪涝灾害的自动提取和长时序监测，为灾害应急响应提供决策依据。产品由北京四维空间数码科技有限公司提供，属于遥感应用领域，适用于信息传输、软件和信息技术服务业。