Articles | Volume 8, issue 8
https://doi.org/10.5194/bg-8-2269-2011
© Author(s) 2011. 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/bg-8-2269-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Characterizing the multi–scale spatial structure of remotely sensed evapotranspiration with information theory
N. A. Brunsell
Dept. of Geography, University of Kansas, Lawrence, KS, USA
M. C. Anderson
Hydrology and Remote Sensing Lab, USDA, Beltsville, MD, USA
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Cited
18 citations as recorded by crossref.
- Spatial data discretization methods for geocomputation F. Cao et al. 10.1016/j.jag.2013.09.005
- Effects of spatial aggregation on the multi-scale estimation of evapotranspiration A. Ershadi et al. 10.1016/j.rse.2012.12.007
- Identifying scale‐emergent, nonlinear, asynchronous processes of wetland methane exchange C. Sturtevant et al. 10.1002/2015JG003054
- Hyperspectral narrowband and multispectral broadband indices for remote sensing of crop evapotranspiration and its components (transpiration and soil evaporation) M. Marshall et al. 10.1016/j.agrformet.2015.12.025
- Entropy in the Critical Zone: A Comprehensive Review J. Quijano & H. Lin 10.3390/e16063482
- Impact of the spatial resolution on the energy balance components on an open-canopy olive orchard J. Ramírez-Cuesta et al. 10.1016/j.jag.2018.09.001
- Simplified triangle method for estimating evaporative fraction over soybean crops D. Silva-Fuzzo & J. Rocha 10.1117/1.JRS.10.046027
- Redefining droughts for the U.S. Corn Belt: The dominant role of atmospheric vapor pressure deficit over soil moisture in regulating stomatal behavior of Maize and Soybean H. Kimm et al. 10.1016/j.agrformet.2020.107930
- A Bayesian information theoretic approach to assessing stomatal conductance dynamics in a perennial agricultural crop N. Ring & N. Brunsell 10.1016/j.ecolind.2025.114017
- Biophysical metrics for detecting more sustainable urban forms at the global scale F. Cochran & N. Brunsell 10.1016/j.ijsbe.2017.05.004
- Spectral Mixture Analysis as a Unified Framework for the Remote Sensing of Evapotranspiration D. Sousa & C. Small 10.3390/rs10121961
- Assessing the Effects of Spatial Scales on Regional Evapotranspiration Estimation by the SEBAL Model and Multiple Satellite Datasets: A Case Study in the Agro-Pastoral Ecotone, Northwestern China X. Li et al. 10.3390/rs13081524
- The role of evapotranspiration in streamflow modeling – An analysis using entropy W. Ellenburg et al. 10.1016/j.jhydrol.2018.09.048
- 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
- Assessing Regional Climate and Local Landcover Impacts on Vegetation with Remote Sensing P. Lin & N. Brunsell 10.3390/rs5094347
- Impact of scale/resolution on evapotranspiration from Landsat and MODIS images V. Sharma et al. 10.1002/2015WR017772
- Statistical Mechanics and Information-Theoretic Perspectives on Complexity in the Earth System G. Balasis et al. 10.3390/e15114844
- Landslide susceptibility assessment using maximum entropy model with two different data sampling methods A. Kornejady et al. 10.1016/j.catena.2017.01.010
17 citations as recorded by crossref.
- Spatial data discretization methods for geocomputation F. Cao et al. 10.1016/j.jag.2013.09.005
- Effects of spatial aggregation on the multi-scale estimation of evapotranspiration A. Ershadi et al. 10.1016/j.rse.2012.12.007
- Identifying scale‐emergent, nonlinear, asynchronous processes of wetland methane exchange C. Sturtevant et al. 10.1002/2015JG003054
- Hyperspectral narrowband and multispectral broadband indices for remote sensing of crop evapotranspiration and its components (transpiration and soil evaporation) M. Marshall et al. 10.1016/j.agrformet.2015.12.025
- Entropy in the Critical Zone: A Comprehensive Review J. Quijano & H. Lin 10.3390/e16063482
- Impact of the spatial resolution on the energy balance components on an open-canopy olive orchard J. Ramírez-Cuesta et al. 10.1016/j.jag.2018.09.001
- Simplified triangle method for estimating evaporative fraction over soybean crops D. Silva-Fuzzo & J. Rocha 10.1117/1.JRS.10.046027
- Redefining droughts for the U.S. Corn Belt: The dominant role of atmospheric vapor pressure deficit over soil moisture in regulating stomatal behavior of Maize and Soybean H. Kimm et al. 10.1016/j.agrformet.2020.107930
- A Bayesian information theoretic approach to assessing stomatal conductance dynamics in a perennial agricultural crop N. Ring & N. Brunsell 10.1016/j.ecolind.2025.114017
- Biophysical metrics for detecting more sustainable urban forms at the global scale F. Cochran & N. Brunsell 10.1016/j.ijsbe.2017.05.004
- Spectral Mixture Analysis as a Unified Framework for the Remote Sensing of Evapotranspiration D. Sousa & C. Small 10.3390/rs10121961
- Assessing the Effects of Spatial Scales on Regional Evapotranspiration Estimation by the SEBAL Model and Multiple Satellite Datasets: A Case Study in the Agro-Pastoral Ecotone, Northwestern China X. Li et al. 10.3390/rs13081524
- The role of evapotranspiration in streamflow modeling – An analysis using entropy W. Ellenburg et al. 10.1016/j.jhydrol.2018.09.048
- 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
- Assessing Regional Climate and Local Landcover Impacts on Vegetation with Remote Sensing P. Lin & N. Brunsell 10.3390/rs5094347
- Impact of scale/resolution on evapotranspiration from Landsat and MODIS images V. Sharma et al. 10.1002/2015WR017772
- Statistical Mechanics and Information-Theoretic Perspectives on Complexity in the Earth System G. Balasis et al. 10.3390/e15114844
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