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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- Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest J. Wang et al. 10.1016/j.rse.2020.111865
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- 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
45 citations as recorded by crossref.
- Mapping daily evapotranspiration based on spatiotemporal fusion of ASTER and MODIS images over irrigated agricultural areas in the Heihe River Basin, Northwest China Y. Li et al. 10.1016/j.agrformet.2017.05.023
- Ecohydrological processes and ecosystem services in the Anthropocene: a review G. Sun et al. 10.1186/s13717-017-0104-6
- Effects of land-use change and drought on decadal evapotranspiration and water balance of natural and managed forested wetlands along the southeastern US lower coastal plain M. Aguilos et al. 10.1016/j.agrformet.2021.108381
- Site Characteristics Mediate the Relationship Between Forest Productivity and Satellite Measured Solar Induced Fluorescence T. Yazbeck et al. 10.3389/ffgc.2021.695269
- Impact of Insolation Data Source on Remote Sensing Retrievals of Evapotranspiration over the California Delta M. Anderson et al. 10.3390/rs11030216
- Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites H. Chu et al. 10.1016/j.agrformet.2021.108350
- Estimation and Validation of Actual Evapotranspiration (ETa) of Maize Wheat Cropping System Using SSEBop Model Over IARI Research Farm, New Delhi, India J. Mukherjee et al. 10.1007/s12524-021-01350-5
- Evaluation of a CONUS-Wide ECOSTRESS DisALEXI Evapotranspiration Product K. Cawse-Nicholson et al. 10.1109/JSTARS.2021.3111867
- Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances J. Xue et al. 10.1016/j.rse.2020.112055
- Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution Z. Li et al. 10.3390/rs9070755
- Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales M. Anderson et al. 10.1016/j.rse.2020.112189
- Drought and thinning have limited impacts on evapotranspiration in a managed pine plantation on the southeastern United States coastal plain X. Liu et al. 10.1016/j.agrformet.2018.06.025
- Evapotranspiration Partitioning at Field Scales Using TSEB and Multi-Satellite Data Fusion in The Middle Reaches of Heihe River Basin, Northwest China Y. Li et al. 10.3390/rs12193223
- Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest J. Wang et al. 10.1016/j.rse.2020.111865
- An Improved Spatio-Temporal Adaptive Data Fusion Algorithm for Evapotranspiration Mapping T. Wang et al. 10.3390/rs11070761
- An Improved Spatial and Temporal Reflectance Unmixing Model to Synthesize Time Series of Landsat-Like Images J. Ma et al. 10.3390/rs10091388
- A Model to Estimate Leaf Area Index in Loblolly Pine Plantations Using Landsat 5 and 7 Images S. Kinane et al. 10.3390/rs13061140
- Mapping irrigated and rainfed wheat areas using high spatial–temporal resolution data generated by Moderate Resolution Imaging Spectroradiometer and Landsat L. Zhang et al. 10.1117/1.JRS.12.046023
- Investigating water use over the C hoptank R iver W atershed using a multisatellite data fusion approach L. Sun et al. 10.1002/2017WR020700
- Evapotranspiration Estimation with the S-SEBI Method from Landsat 8 Data against Lysimeter Measurements at the Barrax Site, Spain J. Sobrino et al. 10.3390/rs13183686
- Investigating impacts of drought and disturbance on evapotranspiration over a forested landscape in North Carolina, USA using high spatiotemporal resolution remotely sensed data Y. Yang et al. 10.1016/j.rse.2018.12.017
- Land cover effect on water discharge, matter losses and surface temperature: Results of 20 years monitoring in the Šumava Mts J. Procházka et al. 10.1016/j.ecoleng.2018.11.030
- Using High-Spatiotemporal Thermal Satellite ET Retrievals for Operational Water Use and Stress Monitoring in a California Vineyard . Knipper et al. 10.3390/rs11182124
- Trends of the contributions of biophysical (climate) and socioeconomic elements to regional heat islands S. Chen et al. 10.1038/s41598-021-92271-3
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- Satellite‐based regional‐scale evapotranspiration estimation mapping of the rice bowl of Tamil Nadu: A little water to spare * M. Hari et al. 10.1002/ird.2553
- Estimating Evapotranspiration of Mediterranean Oak Savanna at Multiple Temporal and Spatial Resolutions. Implications for Water Resources Management E. Carpintero et al. 10.3390/rs13183701
- Studying drought-induced forest mortality using high spatiotemporal resolution evapotranspiration data from thermal satellite imaging Y. Yang et al. 10.1016/j.rse.2021.112640
- The Grape Remote Sensing Atmospheric Profile and Evapotranspiration Experiment W. Kustas et al. 10.1175/BAMS-D-16-0244.1
- Forest water use is increasingly decoupled from water availability even during severe drought K. McQuillan et al. 10.1007/s10980-022-01425-9
- Mapping daily evapotranspiration over a large irrigation district from MODIS data using a novel hybrid dual-source coupling model B. Yu et al. 10.1016/j.agrformet.2019.06.011
- Estimation of evapotranspiration fluxes from Sal (Shorea robusta Gaertn.f) forest using METRIC model: case study of Doon Valley, India S. Purohit et al. 10.1080/10106049.2021.1920630
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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
- Continuous Daily Evapotranspiration Estimation at the Field-Scale over Heterogeneous Agricultural Areas by Fusing ASTER and MODIS Data Z. Yi et al. 10.3390/rs10111694
- Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing M. Anderson et al. 10.3390/rs10060889
- Modifying an Image Fusion Approach for High Spatiotemporal LST Retrieval in Surface Dryness and Evapotranspiration Estimations T. Januar et al. 10.3390/rs12030498
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- 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
2 citations as recorded by crossref.
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- Automated Geospatial Models of Varying Complexities for Pine Forest Evapotranspiration Estimation with Advanced Data Mining S. Panda et al. 10.3390/w10111687
Latest update: 23 Mar 2023
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...
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