Using flood to restore Humans and dust storm controls based on Integrating SAR۱ Images and Decision Tree

In recent years, water scarcity has emerged as a critical challenge in the Sistan plain. Factors such as dam construction on the headwaters of the Hirmand and Farah rivers, coupled with recurring droughts, have significantly reduced water inflow to the region, affecting the Hamuns of Sistan. This situation has exacerbated field desiccation and intensified dust production. Notably, Sistan’s dams experience waterlogging only during severe floods. However, when floodwater does reach the Hamuns after replenishing wells, they temporarily stabilize the soil and promote annual vegetation growth. Recognizing the importance of flood-prone zones, one strategy to mitigate dust centers in Sistan involves targeted attention to these areas. Given that flood impacts vary across different parts of the Sistan plains, zoning and identifying distinct flood proneness levels become crucial. Decision-makers can then devise informed plans to combat dust production by leveraging a better understanding of the region. To achieve this, our current paper employs the Google Earth Engine platform, utilizing both optical (Landsat) and radar (Sentinel-۱) images integrating with DT model. We present a flood potential zoning map for Hamuns. The results obtained from the study of the flooding potential of Hamuns show that ۰.۳ percent of Hamuns are permanent water areas, ۲.۴ percent of them are in the high flood potential class, ۶.۳ percent is in the class of high flood potential, ۷۶.۷ percent is in the medium flood potential class and ۱۴.۳ percent is in the low flood potential class.

کلیدواژه ها:

Water Scarcity ، Flooding Zones ، Google Earth Engine ، Hamun Wetlands