EStreams: An integrated dataset and catalogue of streamflow, hydro-climatic and landscape variables for Europe.

Large-sample hydrology datasets have become increasingly available, contributing to significant scientific advances. However, in Europe, only a few such datasets have been published, capturing only a fraction of the wealth of information from national data providers in terms of available spatial density and temporal extent. We present "EStreams", an extensive dataset of hydro-climatic variables and landscape descriptors and a catalogue of openly available stream records for 17,130 European catchments.

Impacts of large-scale irrigation and climate change on groundwater quality and the hydrological cycle: A case study of the Alqueva irrigation scheme and the Gabros de Beja aquifer system.

This research aims to analyze the impacts of the large-scale Alqueva Irrigation System (AIS) on the water cycle in selected sub-basins and the underlying Gabros de Beja aquifer system (GBAS) in Southern Portugal. The Alqueva reservoir and irrigation project is one of the largest strategic water reservoirs in Western Europe and the AIS's primary source. The closure of the dam in 2002 resulted in significant changes to the region's land use and agricultural practices, shifting from predominantly rainfed dry cereals to intensively irrigated olive and almond orchards.

A cloud-integrated GIS for forest cover loss and land use change monitoring using statistical methods and geospatial technology over northern Algeria.

Over the last two decades, forest cover has experienced significant impacts from fires and deforestation worldwide due to direct human activities and climate change. This paper assesses trends in forest cover loss and land use and land cover changes in northern Algeria between 2000 and 2020 using datasets extracted from Google Earth Engine (GEE), such as the Hanssen Global Forest Change and MODIS Land Cover Type products (MCD12Q1). Classification was performed using the pixel-based supervised machine-learning algorithm called Random Forest (RF).