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Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion
Gully erosion possess a serious hazard to critical resources such as soil, water, and
vegetation cover within watersheds. Therefore, spatial maps of gully erosion hazards can be …
vegetation cover within watersheds. Therefore, spatial maps of gully erosion hazards can be …
[HTML][HTML] Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate …
Forest fires pose a significant threat to ecosystems and socio-economic activities,
necessitating the development of accurate predictive models for effective management and …
necessitating the development of accurate predictive models for effective management and …
Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution …
Abstract In Saudi Arabia, water pollution and drinking water scarcity pose a major challenge
and jeopardise the achievement of sustainable development goals. The urgent need for …
and jeopardise the achievement of sustainable development goals. The urgent need for …
A GIS-based modified PAP/RAC model and Caesium-137 approach for water erosion assessment in the Raouz catchment, Morocco
L Ed-Daoudy, M Moustakim, M Benmansour… - Environmental …, 2024 - Elsevier
Water erosion poses a significant environmental threat in the Mediterranean region, with
pronounced impacts observed throughout Morocco. It impairs soil quality and disrupts both …
pronounced impacts observed throughout Morocco. It impairs soil quality and disrupts both …
Develo** a hybrid deep learning model with explainable artificial intelligence (XAI) for enhanced landslide susceptibility modeling and management
Landslides in the Nainital district of Uttarakhand, India, pose a significant threat to human
communities and local ecosystems. This study aims to improve landslide susceptibility …
communities and local ecosystems. This study aims to improve landslide susceptibility …
Estimación de volúmenes de sedimentos por erosión hídrica empleando el modelo RUSLE en cuencas de la provincia de Manabí, Ecuador
G Casanova-Ruiz, D Delgado… - Revista de Teledetección, 2024 - riunet.upv.es
[ES] La producción de sedimentos por erosión hídrica es un tema de gran interés debido a
que su desconocimiento puede representar graves peligros para las comunidades e …
que su desconocimiento puede representar graves peligros para las comunidades e …
Quantitative assessment of morphometry and GIS integrated RUSLE model-based soil loss estimation from Pahuj river basin, central India
In this study the morphometric indices of the Pahuj river basin (PRB) were evaluated by
applying remote sensing and GIS. The Shuttle Radar Topographic Mission (SRTM) based …
applying remote sensing and GIS. The Shuttle Radar Topographic Mission (SRTM) based …
Assessment of soil erosion risk and vulnerability in the transboundary Sio-Malaba-Malakisi watershed in Kenya and Uganda
Persistent soil erosion poses a significant threat to water quality, ecosystem viability and soil
health in many regions of the world. Addressing this challenge requires a comprehensive …
health in many regions of the world. Addressing this challenge requires a comprehensive …
Using an interpretable deep learning model for the prediction of riverine suspended sediment load
The prediction of suspended sediment load (SSL) within riverine systems is critical to
understanding the watershed's hydrology. Therefore, the novelty of our research is …
understanding the watershed's hydrology. Therefore, the novelty of our research is …
[HTML][HTML] Towards a more comprehensive scenario analysis: Response of soil erosion to future land use and climate change in the Central Yunnan Urban …
D Ma, S Peng, Z Lin - Journal of Environmental Management, 2025 - Elsevier
Rapid urbanization and climate change exacerbate soil erosion globally, threatening
ecosystem services and sustainable development. However, current predictive studies on …
ecosystem services and sustainable development. However, current predictive studies on …