Flash floods are one of the common natural hazards in the Sistan and Baluchistan region, which causes extensive damage to local communities. In this study, Sentinel 1 and Landsat 8 satellite images were used in the rapid identification and monitoring of flooded areas. The availability of these images with the use of cloud computing systems such as Google Earth Engine (GEE) provides a valuable opportunity for crisis management, as it enables easy access to ready data, which is essential for effective management programs deal with floods. Sentinel 1 radar images and Landsat 8 optical images were extracted the day before and after the recent floods March 2024 in the studied area. Image processing and extraction of features related to floods including water cover, water level changes and land cover changes were done. The results showed that the images of Sentinel 1 can effectively identify the flooded areas in Dashtiari region due to the power of cloud penetration and independence from light conditions. Also, Landsat 8 images were useful for more accurate assessment of water level and land cover. The combination of these two data sources increased the ability to quickly detect and monitor flood-affected areas. The integration of satellite remote sensing data can be an effective tool for flood crisis management in the region. This approach will help local authorities in planning emergency responses and mitigating the consequences of flooding.