Eutrophication, driven by nutrient overload, monitored through Chlorophyll-a (Chla) levels in inland and coastal waters. Traditional in-situ methods faced challenges such as time consumption, labor intensity, and spatial-temporal limitations. Remote sensing and machine learning offered solutions but faced challenges due to insufficient in-situ data, diverse water characteristics, and model transferability ...

Flood events rank among the most destructive natural hazards, necessitating comprehensive risk management strategies to mitigate their impact on society and the environment. Various approaches have been developed to map flood susceptibility. However, current methods still lack in accounting for dynamic changes in landscapes and infrastructure. This study leverages the ...

Water resources in Iraq are considered one of the elements most affected by climate change, especially water bodies, and the loss of water from reservoirs by evaporation is one of the most losses that occur in semi-arid countries. Hence, a study of a subject in this regard is very necessary, ...

Given the exponential rise in global plastic production and its significant ecological and socio-economic impacts, monitoring macroplastics in rivers has become a central focus of water management efforts. However, standardized monitoring methodologies are lagging behind the rate of plastic waste currently entering aquatic systems on a global scale. This translates ...

In the last decades, the availability of multi-source, multi-scale, and multi-resolution remote sensing data and the consequent progress of processing techniques brought a significant positive impact for landslide detection. As a result, nowadays also public institutions dealing with geo-hazard management worldwide regularly use satellite data and products in landslide investigations ...

The Unsolved Problems in Hydrology (UPH) initiative has emphasized the need to establish networks of multi-decadal hydrological observatories to gain a deep understanding of the complex hydrologic processes occurring within diverse environmental conditions. The already existing monitoring infrastructures have provided an enormous amount of hydrometeorological data, facilitating detailed insights into ...

Unraveling the intricate spatial and temporal complexities of vegetation represents a crucial key to understanding ecosystem functioning. Drones, as cutting-edge technology, hold immense potential in bridging the gap between on-ground measurements and satellite remote sensing data. Nonetheless, a multitude of challenges still looms, with one of the foremost being the ...

Extraordinary events are rarely observable in a single rainfall gauge, and this make extremely challenging the correct prediction of their arrivals. However, it may be possible to develop a more robust approach by employing a space–time modelling scheme that is able to capture the spatial dynamics of such phenomena. Therefore, ...