Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives

Y Himeur, B Rimal, A Tiwary, A Amira - Information Fusion, 2022 - Elsevier
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion

H Gholami, A Mohammadifar, S Golzari, Y Song… - Science of the Total …, 2023 - Elsevier
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 …

[HTML][HTML] Machine learning models for gully erosion susceptibility assessment in the Tensift catchment, Haouz Plain, Morocco for sustainable development

Y Bammou, B Benzougagh, O Abdessalam… - Journal of African Earth …, 2024 - Elsevier
Gully erosion is a widespread environmental danger, threatening global socio-economic
stability and sustainable development. This study comprehensively applied seven machine …

[HTML][HTML] Random Forest–based gully erosion susceptibility assessment across different agro-ecologies of the Upper Blue Nile basin, Ethiopia

TA Setargie, A Tsunekawa, N Haregeweyn, M Tsubo… - Geomorphology, 2023 - Elsevier
Several environmental factors are known to influence the spatial distribution and
susceptibility of gully erosion, yet the relative importance and interaction of these factors …

Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors

A Jaafari, S Janizadeh, HG Abdo… - Journal of …, 2022 - Elsevier
Complex interrelationships between landscape-level geoenvironmental factors and natural
phenomena have rendered land degradation control measures ineffective. For control to be …

[HTML][HTML] Hybrid machine learning approach for gully erosion map** susceptibility at a watershed scale

S Hitouri, A Varasano, M Mohajane, S Ijlil… - … International Journal of …, 2022 - mdpi.com
Gully erosion is a serious threat to the state of ecosystems all around the world. As a result,
safeguarding the soil for our own benefit and from our own actions is a must for …

[PDF][PDF] A review of the satellite remote sensing techniques for assessment of runoff and sediment in soil erosion

C Ji, Y Cao, X Li, X Pei, B Sun, X Yang… - Journal of Hydrology and …, 2024 - sciendo.com
Soil erosion monitoring is essential for the ecological evaluation and dynamic monitoring of
land resources via remote sensing technology. In this paper, we provide new insights into …

Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions

QB Pham, Ö Ekmekcioğlu, SA Ali, K Koc, F Parvin - Applied Soft Computing, 2023 - Elsevier
This study was undertaken to propose a comprehensive prediction scheme containing the
hybrid use of class imbalance handling strategies and machine learning methods to assess …

Gully erosion susceptibility assessment based on machine learning-A case study of watersheds in Tuquan County in the black soil region of Northeast China

C Liu, H Fan, Y Jiang, R Ma, S Song - Catena, 2023 - Elsevier
Owing to its unique topographic and climatic conditions, agricultural production, and
anthropogenic grazing, severe gully erosion has developed in the watersheds of Tuquan …

Predicting soil erosion susceptibility associated with climate change scenarios in the Central Highlands of Sri Lanka

S Senanayake, B Pradhan - Journal of Environmental Management, 2022 - Elsevier
Soil erosion hazard is one of the prominent climate hazards that negatively impact countries'
economies and livelihood. According to the global climate index, Sri Lanka is ranked among …