Machine learning (ML) is not only reshaping the tech industry but also making significant strides in environmental studies, ...

We built hydrological-niche models for eight water plant functional groups using a range of candidate models combining different surface inundation metrics. We then tested the predictive performance ...

Vassiliki Terezinha Galvao BOULOMYTIS, Antonio Carlos ZUFFO, Monzur Alam IMTEAZ, HYDROLOGICAL IMPACTS OF URBAN DEVELOPMENTS, Theoretical and Empirical Researches in Urban Management, Vol. 12, No. 4 ...

Humanity and the environment's adaptation to climate change is dependent on water, but projecting how water resources will be ...

As climate change and population growth increase pressure on global food production, regional-scale crop growth and associated process (CROP-AP) models have become essential tools for ...