Catchment Water Resources Management: Advances in Remote Sensing Based Techniques
Deadline for manuscript submissions: closed (29 July 2019) | Viewed by 19826
Interests: water resources simulation, optimization and management; water quality monitoring, simulation and management; temporal and spatial analysis of water quality and quantity parameters; water balance in catchment areas; erosion, floods and sedimentation in catchment areas; artificial neural networks (ANN); Geographic Information System (GIS); Remote Sensing (RS)
Special Issues, Collections and Topics in MDPI journals
Water resources management is a multidisciplinary issue that prevailed from the cooperation of a wide range of scientists, such as engineers, earth scientists, agronomists, environmentalists, biologists, and economists. The target is the optimal distribution of limited water resources and the preservation of acceptable levels of water quality, in such a way that all of the users in domestic, agricultural, industrial, and ecological fields’ needs are satisfied with the least controversy and conflicts.
Remote sensing, is a very powerful tool that has been combined with water resources management methods, providing the scientific community with useful satellite data, algorithms, and integrated models. In this way, remote sensing supports the terrestrial and in-situ methods that are concerned with the following issues:
a) Water quantity management: evapotranspiration models; water balance models; land cover and land use; artificial neural networks, focused mainly on the agricultural use of water, but also on the domestic and industrial use as well. Remote sensing techniques can lead to the efficiency of water resources management plans.
b) Water quality management: water temperature; dissolved oxygen; chlorophyll-a; and eutrophication indexes, focused mainly on aquatic ecosystems. The comparison and correlation between terrestrial and satellite data can support empirical formulas for water quality estimation and forecasting, leading to the development of a long-term monitoring protocol for aquatic ecosystems.
Prof. Dr. Aris Psilovikos
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- water resources management
- water balance
- remote sensing
- water quality management
- aquatic ecosystems monitoring