Artificial intelligence algorithms in flood prediction: a general overview
M Pandey - Geo-information for Disaster Monitoring and …, 2024 - Springer
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 …
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …
Multi-criteria analysis and geospatial applications-based mapping flood vulnerable areas: a case study from the eastern Mediterranean
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 …
Mediterranean. In western Syria, floods annually cause dozens of casualties with massive …
[HTML][HTML] Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean
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 …
and posing a threat to achieving the Sustainable Development Goal (SDG) of ensuring food …
Using Public Landslide Inventories for Landslide Susceptibility Assessment at the Basin Scale: Application to the Torto River Basin (Central-Northern Sicily, Italy)
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 …
image heavily depends on the quality of the landslide inventories used for calibration …
[HTML][HTML] Application of machine learning in the assessment of landslide susceptibility: a case study of mountainous eastern Mediterranean region, Syria
Landslide is a considerable geomorphological risk in terrain systems worldwide. Advanced
techniques present a unique tool for predicting landslide susceptibility with unbiased and …
techniques present a unique tool for predicting landslide susceptibility with unbiased and …
Soil erosion sensitivity and prediction for hilly areas of Hubei Province, China, using combined RUSLE and LSTM models
Y Ping, P Tian, L Luo, Y Guo, Y Gong, Z Zhu… - Journal of Soils and …, 2024 - Springer
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 …
drivers of soil erosion, identify soil erosion–sensitive areas, and predict future soil erosion in …