Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-1017-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-1017-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Daily Landsat-scale evapotranspiration estimation over a forested landscape in North Carolina, USA, using multi-satellite data fusion
Yun Yang
CORRESPONDING AUTHOR
USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA
Martha C. Anderson
USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA
Feng Gao
USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA
Christopher R. Hain
Marshall Space Flight Center, Earth Science Branch, Huntsville, AL, USA
Kathryn A. Semmens
Nurture Nature Center, Easton, PA, USA
William P. Kustas
USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA
Asko Noormets
Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA
Randolph H. Wynne
Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
Valerie A. Thomas
Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
Ge Sun
Eastern Forest Environmental Threat Assessment Center, Southern Research Station, USDA Forest Service, Raleigh, NC, USA
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- Using high-spatiotemporal thermal satellite ET retrievals to monitor water use over California vineyards of different climate, vine variety and trellis design K. Knipper et al. 10.1016/j.agwat.2020.106361
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- Retrieving Heterogeneous Surface Soil Moisture at 100 m Across the Globe via Fusion of Remote Sensing and Land Surface Parameters J. Huang et al. 10.3389/frwa.2020.578367
- Evaluating the role of evapotranspiration remote sensing data in improving hydrological modeling predictability M. Herman et al. 10.1016/j.jhydrol.2017.11.009
- Mapping daily leaf area index at 30 m resolution over a meadow steppe area by fusing Landsat, Sentinel-2A and MODIS data Z. Li et al. 10.1080/01431161.2018.1504342
- The effects of forest composition and management on evapotranspiration in the New Jersey Pinelands B. Isaacson et al. 10.1016/j.agrformet.2023.109588
- Impact of Tile Drainage on Evapotranspiration in South Dakota, USA, Based on High Spatiotemporal Resolution Evapotranspiration Time Series From a Multisatellite Data Fusion System Y. Yang et al. 10.1109/JSTARS.2017.2680411
- Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework M. He et al. 10.1016/j.rse.2019.05.020
- Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review V. García-Santos et al. 10.3390/rs14143440
2 citations as recorded by crossref.
- Assessing a scheme of spatial-temporal thermal remote-sensing sharpening for estimating regional evapotranspiration K. Liu et al. 10.1080/01431161.2018.1434326
- Automated Geospatial Models of Varying Complexities for Pine Forest Evapotranspiration Estimation with Advanced Data Mining S. Panda et al. 10.3390/w10111687
Latest update: 14 Dec 2024
Short summary
This work explores the utility of a thermal remote sensing based MODIS/Landsat ET data fusion procedure over a mixed forested/agricultural landscape in North Carolina, USA. The daily ET retrieved at 30 m resolution agreed well with measured fluxes in a clear-cut and a mature pine stand. An accounting of consumptive water use by land cover classes is presented, as well as relative partitioning of ET between evaporation (E) and transpiration (T) components.
This work explores the utility of a thermal remote sensing based MODIS/Landsat ET data fusion...
Special issue