Satellite-Based Evapotranspiration Modeling for Water Use Estimation
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (31 May 2020) | Viewed by 147
Special Issue Editors
Interests: remote sensing and GIS applications in water resources and agriculture; surface energy balance modeling; evapotranspiration modeling
Interests: remote sensing hydrology; evapotranspiration and soil moisture modeling; drought monitoring and food security; water use, quality, and availability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sustainable development of limited water resources is essential for maintaining all aspects of life, preserving the environment, and growing the economy. Estimates of water use are crucial for planning water resource allocation, managing water rights, mitigating droughts, sustaining agricultural production, and quantifying the impacts of climate change and land use/land cover changes on water resources over space and time.
Local and regional hydrologic processes are impacted by the water lost during evapotranspiration (ET) due to soil–plant–atmosphere interactions. Remotely sensed images are widely used to quantify daily and seasonal ET estimates over large areas in many river basins around the world. Such information can help farmers to improve irrigation efficiency and conserve water; water managers to plan need-based water allocation and distribution; and planners to develop strategies for water-related policy for sustainable development of water resources under changing climate conditions and increasing water demand.
This Special Issue invites manuscripts that focus on advancements in methodologies related to using Landsat/Sentinel-2 datasets to characterize water use at the field scale across large geographical areas. Related topics, such as merging/data fusion of Landsat and Sentinel-2 for ET modeling, remotely sensed crop coefficient-based ET estimation, and cloud-based ET modeling, and the challenges associated with these topics will also be considered.
Dr. Ramesh K. Singh
Dr. Gabriel Senay
Guest Editors
Manuscript Submission Information
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Keywords
- evapotranspiration modeling
- surface energy balance modeling
- satellite remote sensing
- thermal band
- water use
- crop coefficient.
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