Natural disasters like floods are happening worldwide. Due to their negative impact on different social, economic and environmental aspects need to monitor and map these phenomena have increased. In fact, to access the zones affected by the flood, we use open source remote sensing (RS) images acquired by optical and radar sensors. Furthermore, we present a method using Sentinel-1 images; we suggest applying Ground Range Detected (GRD) images. For this purpose, pre-processed built and provided by the European Space Agency (ESA), preserved by free software Sentinel Application Platform (SNAP) for data extraction around appropriate demand. Moreover, the principal objective of this article is to assess the capability of Sentinel-1 Synthetic Aperture Radar (SAR) images in order to visualize flood areas in the Inaouene watershed located in north-eastern of Morocco. The origin of this natural hazard is the combination of natural and anthropogenic factors that makes the watershed vulnerable with a sub-annual frequency. The results of this work help decision-makers and managers in the field of natural risk management and land-use planning to implement a strategy and action plan for the protection of the populations and the environment against the negative impact of floods.

洪水等自然灾害正在世界范围内发生。由于它们对不同社会、经济和环境方面的负面影响，需要对这些现象进行监测和绘制地图。事实上，为了访问受洪水影响的区域，我们使用了光学和雷达传感器获取的开源遥感 (RS) 图像。此外，我们提出了一种使用 Sentinel-1 图像的方法；我们建议应用地面范围检测 (GRD) 图像。为此，由欧洲航天局 (ESA) 构建和提供的预处理，由免费软件 Sentinel 应用程序平台 (SNAP) 保存，用于围绕适当需求提取数据。而且，本文的主要目标是评估 Sentinel-1 合成孔径雷达 (SAR) 图像的能力，以便可视化位于摩洛哥东北部的 Inaouene 流域的洪水区域。这种自然灾害的起源是自然和人为因素的结合，使流域以低于年度的频率变得脆弱。这项工作的结果有助于自然风险管理和土地利用规划领域的决策者和管理者实施战略和行动计划，以保护人口和环境免受洪水的负面影响。