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] Hybrid machine learning approach for gully erosion mapping 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 …

[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 …

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 …

[HTML][HTML] Integration of High-Accuracy Geospatial Data and Machine Learning Approaches for Soil Erosion Susceptibility Mapping in the Mediterranean Region: A …

H Bouguerra, SE Tachi, H Bouchehed, G Gilja, N Aloui… - Sustainability, 2023 - mdpi.com
Erosion can have a negative impact on the agricultural sustainability and grazing lands in
the Mediterranean area, especially in northern Algeria. It is useful to map the spatial …

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 …

[HTML][HTML] Snowmelt flood susceptibility assessment in kunlun mountains based on the swin transformer deep learning method

R Yang, G Zheng, P Hu, Y Liu, W Xu, A Bao - Remote Sensing, 2022 - mdpi.com
Modeling and assessing the susceptibility of snowmelt floods is critical for flood hazard
management. However, the current research on snowmelt flood susceptibility lacks a valid …

[HTML][HTML] Evaluation of gully erosion susceptibility using a maximum entropy model in the upper Mkhomazi River basin in South Africa

A Bernini, A Bosino, GA Botha, M Maerker - ISPRS International Journal …, 2021 - mdpi.com
Soil erosion is one of the most challenging environmental issues in the world, causing
unsustainable soil loss every year. In South Africa, several episodes of gully erosion have …