Ensemble averaging using remote sensing data to model spatiotemporal PM10 concentrations in sparsely monitored South Africa

Air pollution exposure assessment in sparsely monitored settings; applying machine-learning methods with remote sensing data in South Africa.

Spatiotemporal Analysis of Precipitation in the Sparsely Gauged Zambezi River Basin Using Remote Sensing and Google Earth Engine

Precipitation plays an important role in the food production of Southern Africa. Understanding the s

Ensemble Deep Learning Approach for Turbidity Prediction of Dooskal Lake Using Remote Sensing Data

Spatiotemporal Modeling and Uncertainty Quantification of Reference Evapotranspiration Using Machine Learning and Bayesian Model Averaging in Benin

Reference evapotranspiration (ET0) represents the atmospheric demand for water from a well-watered v

Innovative method to estimate groundwater levels using remote sensing data

Abstract Effective monitoring of surface and groundwater resources is essential

Application of Machine Learning and Remote Sensing for Gap-filling Daily Precipitation Data of a Sparsely Gauged Basin in East Africa

Abstract Access to spatiotemporal distribution of precipitation is needed in many hydrological appl