This paper presents a comprehensive general overview of the extensive literature available
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …

Soil salinization is a critical global issue for sustainable agriculture, impacting crop yields
and posing a threat to achieving the Sustainable Development Goal (SDG) of ensuring food …

Landslide is a considerable geomorphological risk in terrain systems worldwide. Advanced
techniques present a unique tool for predicting landslide susceptibility with unbiased and …

Floods are considered one of the most common natural hazards in the Eastern
Mediterranean. In western Syria, floods annually cause dozens of casualties with massive …

Purpose Hilly areas are highly susceptible to soil erosion. This study aims to discover the
drivers of soil erosion, identify soil erosion–sensitive areas, and predict future soil erosion in …

In statistical landslide susceptibility evaluation, the quality of the model and its prediction
image heavily depends on the quality of the landslide inventories used for calibration …

Run-off (RF) and soil erosion (SE) have a negative impact on the environmental system, with
both on-site and off-site effects. This research aimed to evaluate the performance of the …

Soil is an important nonrenewable resource. Soil erosion is increasingly severe, and the
accurate identification of soil erosion is crucial for ecological sustainability. In recent years …