Articles | Volume 9, issue 5
https://doi.org/10.5194/hess-9-467-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/hess-9-467-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Spatial and temporal patterns of land surface fluxes from remotely sensed surface temperatures within an uncertainty modelling framework
M. F. McCabe
Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, 08544, USA
J. D. Kalma
Discipline of Civil, Surveying and Environmental Engineering, School of Engineering, University of Newcastle, Callaghan NSW 2308, Australia
S. W. Franks
Discipline of Civil, Surveying and Environmental Engineering, School of Engineering, University of Newcastle, Callaghan NSW 2308, Australia
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30 citations as recorded by crossref.
- Moving beyond run‐off calibration—Multivariable optimization of a surface–subsurface–atmosphere model S. Stisen et al. 10.1002/hyp.13177
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- Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC) R. Houborg et al. 10.1016/j.rse.2014.12.008
- Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data J. Kalma et al. 10.1007/s10712-008-9037-z
- CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture B. Aragon et al. 10.3390/rs10121867
- A geo-informatics approach for estimating water resources management components and their interrelationships U. Liaqat et al. 10.1016/j.agwat.2016.09.010
- Integrating Remote Sensing and Ground Methods to Estimate Evapotranspiration E. Glenn et al. 10.1080/07352680701402503
- Characterizing the multi–scale spatial structure of remotely sensed evapotranspiration with information theory N. Brunsell & M. Anderson 10.5194/bg-8-2269-2011
- Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies M. McCabe et al. 10.1016/j.rse.2007.03.027
- Model parameter analysis using remotely sensed pattern information in a multi-constraint framework S. Stisen et al. 10.1016/j.jhydrol.2011.08.030
- Modeling rice evapotranspiration under water-saving irrigation condition: Improved canopy-resistance-based X. Liu et al. 10.1016/j.jhydrol.2020.125435
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- Assessing the impact of model spin‐up on surface water‐groundwater interactions using an integrated hydrologic model H. Ajami et al. 10.1002/2013WR014258
- Effects of spatial aggregation on the multi-scale estimation of evapotranspiration A. Ershadi et al. 10.1016/j.rse.2012.12.007
- Current awareness 10.1002/hyp.6303
- The influence of urban form on the spatiotemporal variations in land surface temperature in an arid coastal city I. Parvez et al. 10.1080/10106049.2019.1622598
- Modeling rice evapotranspiration under water-saving irrigation by calibrating canopy resistance model parameters in the Penman-Monteith equation J. Xu et al. 10.1016/j.agwat.2016.12.010
- Is scale really a challenge in evapotranspiration estimation? A multi-scale study in the Heihe oasis using thermal remote sensing and the three-temperature model Y. Wang et al. 10.1016/j.agrformet.2016.03.012
- A modified MOD16 algorithm to estimate evapotranspiration over alpine meadow on the Tibetan Plateau, China Y. Chang et al. 10.1016/j.jhydrol.2018.03.054
- Spatial sensitivity of surface energy balance algorithms to meteorological data in a heterogeneous environment E. Webster et al. 10.1016/j.rse.2016.10.019
- Accuracy comparison of remotely sensed evapotranspiration products and their associated water stress footprints under different land cover types in Korean peninsula U. Liaqat & M. Choi 10.1016/j.jclepro.2016.09.022
- Conditioning a Hydrologic Model Using Patterns of Remotely Sensed Land Surface Temperature M. Zink et al. 10.1002/2017WR021346
- Estimates of spatial variation in evaporation using satellite‐derived surface temperature and a water balance model L. Bouwer et al. 10.1002/hyp.6636
- Multi-site evaluation of terrestrial evaporation models using FLUXNET data A. Ershadi et al. 10.1016/j.agrformet.2013.11.008
- Actual evapotranspiration estimation by ground and remote sensing methods: the Australian experience E. Glenn et al. 10.1002/hyp.8391
- Impacts of model initialization on an integrated surface water–groundwater model H. Ajami et al. 10.1002/hyp.10478
- Actual daily evapotranspiration estimated from MERIS and AATSR data over the Chinese Loess Plateau R. Liu et al. 10.5194/hess-14-47-2010
- Impact of model structure and parameterization on Penman–Monteith type evaporation models A. Ershadi et al. 10.1016/j.jhydrol.2015.04.008
- Assessing the multi-resolution information content of remotely sensed variables and elevation for evapotranspiration in a tall-grass prairie environment N. Brunsell et al. 10.1016/j.rse.2008.02.002
- Downscaling and Forecasting of Evapotranspiration Using a Synthetic Model of Wavelets and Support Vector Machines Y. Kaheil et al. 10.1109/TGRS.2008.919819
30 citations as recorded by crossref.
- Moving beyond run‐off calibration—Multivariable optimization of a surface–subsurface–atmosphere model S. Stisen et al. 10.1002/hyp.13177
- Evaluating the hydrological consistency of evaporation products using satellite-based gravity and rainfall data O. López et al. 10.5194/hess-21-323-2017
- Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC) R. Houborg et al. 10.1016/j.rse.2014.12.008
- Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data J. Kalma et al. 10.1007/s10712-008-9037-z
- CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture B. Aragon et al. 10.3390/rs10121867
- A geo-informatics approach for estimating water resources management components and their interrelationships U. Liaqat et al. 10.1016/j.agwat.2016.09.010
- Integrating Remote Sensing and Ground Methods to Estimate Evapotranspiration E. Glenn et al. 10.1080/07352680701402503
- Characterizing the multi–scale spatial structure of remotely sensed evapotranspiration with information theory N. Brunsell & M. Anderson 10.5194/bg-8-2269-2011
- Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies M. McCabe et al. 10.1016/j.rse.2007.03.027
- Model parameter analysis using remotely sensed pattern information in a multi-constraint framework S. Stisen et al. 10.1016/j.jhydrol.2011.08.030
- Modeling rice evapotranspiration under water-saving irrigation condition: Improved canopy-resistance-based X. Liu et al. 10.1016/j.jhydrol.2020.125435
- Examining the relationship between intermediate-scale soil moisture and terrestrial evaporation within a semi-arid grassland R. Jana et al. 10.5194/hess-20-3987-2016
- Assessing the impact of model spin‐up on surface water‐groundwater interactions using an integrated hydrologic model H. Ajami et al. 10.1002/2013WR014258
- Effects of spatial aggregation on the multi-scale estimation of evapotranspiration A. Ershadi et al. 10.1016/j.rse.2012.12.007
- Current awareness 10.1002/hyp.6303
- The influence of urban form on the spatiotemporal variations in land surface temperature in an arid coastal city I. Parvez et al. 10.1080/10106049.2019.1622598
- Modeling rice evapotranspiration under water-saving irrigation by calibrating canopy resistance model parameters in the Penman-Monteith equation J. Xu et al. 10.1016/j.agwat.2016.12.010
- Is scale really a challenge in evapotranspiration estimation? A multi-scale study in the Heihe oasis using thermal remote sensing and the three-temperature model Y. Wang et al. 10.1016/j.agrformet.2016.03.012
- A modified MOD16 algorithm to estimate evapotranspiration over alpine meadow on the Tibetan Plateau, China Y. Chang et al. 10.1016/j.jhydrol.2018.03.054
- Spatial sensitivity of surface energy balance algorithms to meteorological data in a heterogeneous environment E. Webster et al. 10.1016/j.rse.2016.10.019
- Accuracy comparison of remotely sensed evapotranspiration products and their associated water stress footprints under different land cover types in Korean peninsula U. Liaqat & M. Choi 10.1016/j.jclepro.2016.09.022
- Conditioning a Hydrologic Model Using Patterns of Remotely Sensed Land Surface Temperature M. Zink et al. 10.1002/2017WR021346
- Estimates of spatial variation in evaporation using satellite‐derived surface temperature and a water balance model L. Bouwer et al. 10.1002/hyp.6636
- Multi-site evaluation of terrestrial evaporation models using FLUXNET data A. Ershadi et al. 10.1016/j.agrformet.2013.11.008
- Actual evapotranspiration estimation by ground and remote sensing methods: the Australian experience E. Glenn et al. 10.1002/hyp.8391
- Impacts of model initialization on an integrated surface water–groundwater model H. Ajami et al. 10.1002/hyp.10478
- Actual daily evapotranspiration estimated from MERIS and AATSR data over the Chinese Loess Plateau R. Liu et al. 10.5194/hess-14-47-2010
- Impact of model structure and parameterization on Penman–Monteith type evaporation models A. Ershadi et al. 10.1016/j.jhydrol.2015.04.008
- Assessing the multi-resolution information content of remotely sensed variables and elevation for evapotranspiration in a tall-grass prairie environment N. Brunsell et al. 10.1016/j.rse.2008.02.002
- Downscaling and Forecasting of Evapotranspiration Using a Synthetic Model of Wavelets and Support Vector Machines Y. Kaheil et al. 10.1109/TGRS.2008.919819
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