Impact of climate change on evaporation in Mosul Dam reservoir-Iraq
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…
Remote Sensing for Monitoring Macroplastics in Rivers: A Review
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…
Rapid landslide detection from free optical satellite imagery using a robust change detection technique
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…
HESS Opinions: Towards a common vision for the future of hydrological observatories
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…
Understanding spatio-temporal complexity of vegetation using drones, what could we improve?
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…
The Space–Time Representation of Extraordinary Rainfall Events
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…
Generation of root zone soil moisture from the integration of an all-weather satellite surface soil moisture estimates and an analytical model: A preliminary result in China
In addition to surface soil moisture (SSM) data, root zone soil moisture (RZSM) is particularly significant for irrigation decision-making and agricultural drought warnings since water uptake generally occurs through the…
Image processing for continuous river turbidity monitoring – full scale tests and potential applications
The development of continuous river turbidity monitoring systems is essential, since it is a critical water quality metric linked to the presence of organic and inorganic suspended matter. Current monitoring…
Testing trends in gridded rainfall datasets at relevant hydrological scales: A comparative study with regional ground observations in Southern Italy
In this study, we compared the spatiotemporal evolution of rainfall trends in E-OBS and ERA5 to those detected using historical rainfall series recorded by ground-based networks in Southern Italy. In…
How Can Seasonality Influence the Performance of Recent Microwave Satellite Soil Moisture Products?
In addition to technical issues related to the instruments used, differences between soil moisture (SM) measured using ground-based methods and microwave remote sensing (RS) can be related to the main…
A Runoff-On-Grid Approach to Embed Hydrological Processes in Shallow Water Models
Catchment-scale hydrological models encountered dichotomies with the numerical hydrodynamic models when describing surface routing process. We propose a new modeling framework, the so-called “Runoff-On-Grid” approach, for embedding distributed process-based hydrological…
HESS Opinions: Towards a common vision for the future of hydrological observatories
Abstract. The Unsolved Problems in Hydrology (UPH) initiative has emphasized the need to establish networks of multi-decadal hydrological observatories to tackle catchment-scale challenges on a global scale. The already existing…
Exploring the use of random forest classifier with Sentinel-2 imagery in flooded area mapping
Floods are the most frequent type of natural disasters occurring worldwide. In 2021 alone, in fact, the majority of the recorded catastrophic events were floods, which also dominated in terms…
Assessing Multi-source Random Forest Classification and Robustness of Predictor Variables in Flooded Areas Mapping
Flood extent delineation techniques have benefited from the increasing availability of remote sensing imagery, classification techniques and the introduction of geomorphic descriptors derived from Digital Elevation Models (DEM). On the…
Advancing river monitoring using image-based techniques: Challenges and opportunities
Enhanced and effective hydrological monitoring plays a crucial role in understanding water-related processes in a rapidly changing world. Within this context, image-based river monitoring has shown to significantly enhance data…