A comparison of geocomputational models for validating geospatial distribution of water quality index
Water resources management is a vital component of maintaining good water quality. The
surveillance program is one of the essential tools for regularly monitoring water quality. But …
surveillance program is one of the essential tools for regularly monitoring water quality. But …
Challenges in data-driven geospatial modeling for environmental research and practice
Abstract Machine learning-based geospatial applications offer unique opportunities for
environmental monitoring due to domains and scales adaptability and computational …
environmental monitoring due to domains and scales adaptability and computational …
Advancing forest carbon stocks' mapping using a hierarchical approach with machine learning and satellite imagery
Remote sensing of forests is a powerful tool for monitoring the biodiversity of ecosystems,
maintaining general planning, and accounting for resources. Various sensors bring together …
maintaining general planning, and accounting for resources. Various sensors bring together …
[HTML][HTML] Macro-environment oscillation notably up risk of water quality degradation: A case study in Shanxi Reservoir, China
W Cai, J Xia, Z Liu, J Zu, S Ji, Y Wang, Q Wang - Ecological Indicators, 2025 - Elsevier
Water quality deterioration in reservoirs threats human drinking water safety. It can be
influenced by the macro-processes of meteorology, hydrology, and pollution. However, the …
influenced by the macro-processes of meteorology, hydrology, and pollution. However, the …
Challenges in data-based geospatial modeling for environmental research and practice
D Koldasbayeva, P Tregubova, M Gasanov… - arXiv preprint arXiv …, 2023 - arxiv.org
With the rise of electronic data, particularly Earth observation data, data-based geospatial
modelling using machine learning (ML) has gained popularity in environmental research …
modelling using machine learning (ML) has gained popularity in environmental research …