Ecohydrological Sensing and Modeling with Geographic Information Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Environmental Sensing".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 7073
Special Issue Editors
Interests: aquatic plants; vegetation in floodplains; wetlands
Special Issues, Collections and Topics in MDPI journals
Interests: eco- and environmental-hydraulics; estuarine hydrodynamics; morphodynamics
Special Issues, Collections and Topics in MDPI journals
Interests: limnology; wetlands; water quality; geospatial analysis
Special Issues, Collections and Topics in MDPI journals
2. Department 1 “Ecohydrology & Biogeochemistry” IGB Leibniz Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany
Interests: ecohydrology; climate impacts; wetlands; groundwater hydrology; modelling
Special Issue Information
Dear Colleagues,
Recent advances in remote sensing technology, especially those based on unmanned aerial vehicle (UAV), have revolutionized ecological and environmental monitoring. The applicability of UAV as a flexible cost-effective tool for frequent high-resolution mapping and monitoring, particularly for small-scale systems when used in combination with multispectral cameras and the Structure from Motion (SfM) algorithm, has been well established. For large-scale environmental monitoring and mapping, the fusion of multi-source remote sensing data (e.g., satellite imagery, LiDAR, and SAR) and state-of-the-art (e.g., decision trees, machine learning) classification approaches can be used to achieve a high accuracy and high resolution in both time and space. At the same time, process-based models have been at the forefront of ecohydrological research in recent decades, and significant progress has been made in simplified generic model development as well as applications in real systems. However, the logistically demanding acquisition of basic data with high resolution, such as DEM and vegetation distribution, required for initial model construction, plus the additional measurements of the water level, velocity, etc., that are needed for model calibration and validation in a complex terrain such as wetlands still remain key technical challenges to which rapidly developing remote sensing technologies may provide a promising solution. Furthermore, high-performance computing, such as cluster-based parallel computing, is increasingly being employed to process and classify large remote sensing datasets in a timely fashion using machine learning algorithms and run model simulations. The integration of remote sensing data and numerical models in GIS can help us understand and predict ecohydrological changes induced by natural or anthropogenic disturbances. It can also be used to inform landscape design, ecological restoration through hydrological regulation, and other ecological conservation and restoration activities.
For this Special Issue, papers reporting theories, methodologies, and applications relating to the above topic are welcome. This Special Issue aims to cover, but is not limited to, the following areas:
- Monitoring ecohydrological variations using various sensing technologies;
- Modeling the ecological and hydrological processes in GIS;
- Methods and approaches using GIS to assess ecohydrological changes;
- Policies for regulating ecosystems in terms of ecohydrology.
Prof. Dr. Takashi Asaeda
Dr. Dongdong Shao
Dr. Petre Brețcan
Dr. Shuxin Luo
Guest Editors
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Keywords
- remote sensing
- UAV
- GIS
- ecohydrology
- ecological and hydrological modeling
- landscape design
- ecological conservation and restoration
- basin management
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