Descripción
Dear Colleagues,Currently, Earth Observation (EO) data support the assessments of natural and human-induced changes on the Earth, providing information for taking decisions in the water science field at different spatiotemporal scales. The remote sensing in water science is related to the observation, understanding, and prediction of the spatial and temporal distribution of hydrological processes.
In the case of highly dynamic processes, such as flooding, information retrieved at the sub-daily scale and near real-time by different sensors and platforms is required. The precise modeling of water cycle processes demands the development of new sensors and platforms, as well as new remote sensing methodologies.
Usually, hydrological models are calibrated in specific sites, such as stream gauge stations located at the river basin outlet. However, on one side, the assessment of runoff in a point of the basin provides an aggregated and limited response of the hydrological system without accounting for spatial variations in hydrological parameters. On the other side, in the case of ungauged basins, other alternatives to evaluate the hydrological model performance are needed. Remote sensing data become a true alternative for spatial calibration and validation of hydrological models, considering the spatiotemporal variations of parameters and state variables.
This Special Issue aims to disseminate state-of-the-art research articles and emerging ideas using remote sensing and geospatial technologies of water cycle processes, including:
New methods and techniques, particularly related with the development and application of satellite missions, radar, airborne and drone sensors, to monitor spatially distributed hydrological processes (such as precipitation, evapotranspiration, soil moisture, groundwater infiltration, and surface water runoff) as well as wetlands and water bodies, across a wide range of temporal scales;
New techniques to use spatially distributed remote sensing data for spatial calibration and validation of hydrological models, suitable for ungauged basins;
Use of remote sensing data for global and regional hydrological applications and water resource management, to support decision taking as a way to predict and resolve water conflicts in a changing climate and with increasing demands on limited water supplies; and
Application of remote sensing for the study of the impact of human activities on the hydrological cycle (especially infiltration and runoff generation); floods, droughts and water resource availability.
Dr. Sandra G. García Galiano
Dr. Fulgencio Cánovas García
Dr. Juan Diego Giraldo-Osorio
Guest Editors
| Período | 28 feb. 2022 → 30 nov. 2022 |
|---|---|
| Tipo de editorial | Editorial |
| Grado de reconocimiento | Internacional |