Applications of GIS and Remote Sensing in Ecohydrology
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 29
Special Issue Editors
Interests: terrestrial water–carbon cycle; ecohydrology; remote sensing; evapotranspiration; ecological process model; precipitation;
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing satellite and UAV (multispectral and hyperspectral); soil salinity; digital soil mapping; land degradation; ecological hydrology; google earth engine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Ecohydrology, as an interdisciplinary field that studies the interactions between hydrological processes and ecosystems, aims to understand the dynamic relationships between water cycles and ecological systems, providing a scientific basis for water resource management and ecological conservation. The application of GIS and RS technologies has revolutionized this field, offering new opportunities to address complex environmental challenges. Remote sensing provides extensive, continuous, and high-resolution data on land surface and hydrological variables (e.g., vegetation cover, soil moisture, evapotranspiration), overcoming the limitations of traditional ground-based observations. GIS and RS enable real-time monitoring of ecohydrological processes (e.g., wetland degradation, deforestation impacts on hydrology) and support predictive modeling for future trends, offering critical insights for ecosystem management. High-resolution spatial data from RS and GIS are essential for building and calibrating ecohydrological models, improving their accuracy and reliability. By combining RS data, ground observations, and climate models, GIS facilitates multi-scale and multi-dimensional simulations of ecohydrological processes, revealing the complex interactions between water and ecosystems. GIS and RS technologies can quantify the impacts of climate change on hydrological processes and ecosystems, such as the long-term effects of extreme weather events (e.g., floods, droughts) on vegetation and soil moisture. The application of GIS and RS in ecohydrology not only advances scientific methodologies but also provides powerful tools for addressing global environmental challenges, such as climate change, water scarcity, and ecosystem degradation. By integrating multi-source data, building high-precision models, and enabling dynamic monitoring and prediction, these technologies offer a scientific foundation for sustainable ecosystem management and water resource utilization. Therefore, the scope of this Special Issue includes, but is not limited to, ecohydrological modeling, land surface evaporation, precipitation, soil moisture monitoring, climate change impacts, geospatial technologies for ecosystem restoration projects, and conservation strategy design and evaluation.
Dr. Xiaoping Wang
Dr. Xiangyu Ge
Guest Editors
Manuscript Submission Information
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Keywords
- satellite remote sensing
- hydrological models
- deep learning
- data-driven methods
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