Articles | Volume 17, issue 9
https://doi.org/10.5194/hess-17-3623-2013
https://doi.org/10.5194/hess-17-3623-2013
Research article
 | 
30 Sep 2013
Research article |  | 30 Sep 2013

An original interpretation of the wet edge of the surface temperature–albedo space to estimate crop evapotranspiration (SEB-1S), and its validation over an irrigated area in northwestern Mexico

O. Merlin

Related authors

Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models
Pierre Laluet, Luis Olivera-Guerra, Víctor Altés, Vincent Rivalland, Alexis Jeantet, Julien Tournebize, Omar Cenobio-Cruz, Anaïs Barella-Ortiz, Pere Quintana-Seguí, Josep Maria Villar, and Olivier Merlin
Hydrol. Earth Syst. Sci., 28, 3695–3716, https://doi.org/10.5194/hess-28-3695-2024,https://doi.org/10.5194/hess-28-3695-2024, 2024
Short summary
Evaluating downscaling methods of GRACE (Gravity Recovery and Climate Experiment) data: a case study over a fractured crystalline aquifer in southern India
Claire Pascal, Sylvain Ferrant, Adrien Selles, Jean-Christophe Maréchal, Abhilash Paswan, and Olivier Merlin
Hydrol. Earth Syst. Sci., 26, 4169–4186, https://doi.org/10.5194/hess-26-4169-2022,https://doi.org/10.5194/hess-26-4169-2022, 2022
Short summary
An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data
Bouchra Ait Hssaine, Olivier Merlin, Jamal Ezzahar, Nitu Ojha, Salah Er-Raki, and Said Khabba
Hydrol. Earth Syst. Sci., 24, 1781–1803, https://doi.org/10.5194/hess-24-1781-2020,https://doi.org/10.5194/hess-24-1781-2020, 2020
Intercomparison of four remote-sensing-based energy balance methods to retrieve surface evapotranspiration and water stress of irrigated fields in semi-arid climate
J. Chirouze, G. Boulet, L. Jarlan, R. Fieuzal, J. C. Rodriguez, J. Ezzahar, S. Er-Raki, G. Bigeard, O. Merlin, J. Garatuza-Payan, C. Watts, and G. Chehbouni
Hydrol. Earth Syst. Sci., 18, 1165–1188, https://doi.org/10.5194/hess-18-1165-2014,https://doi.org/10.5194/hess-18-1165-2014, 2014

Related subject area

Subject: Water Resources Management | Techniques and Approaches: Remote Sensing and GIS
The development of an operational system for estimating irrigation water use reveals socio-political dynamics in Ukraine
Jacopo Dari, Paolo Filippucci, and Luca Brocca
Hydrol. Earth Syst. Sci., 28, 2651–2659, https://doi.org/10.5194/hess-28-2651-2024,https://doi.org/10.5194/hess-28-2651-2024, 2024
Short summary
An inter-comparison of approaches and frameworks to quantify irrigation from satellite data
Søren Julsgaard Kragh, Jacopo Dari, Sara Modanesi, Christian Massari, Luca Brocca, Rasmus Fensholt, Simon Stisen, and Julian Koch
Hydrol. Earth Syst. Sci., 28, 441–457, https://doi.org/10.5194/hess-28-441-2024,https://doi.org/10.5194/hess-28-441-2024, 2024
Short summary
The Wetland Intrinsic Potential tool: mapping wetland intrinsic potential through machine learning of multi-scale remote sensing proxies of wetland indicators
Meghan Halabisky, Dan Miller, Anthony J. Stewart, Amy Yahnke, Daniel Lorigan, Tate Brasel, and Ludmila Monika Moskal
Hydrol. Earth Syst. Sci., 27, 3687–3699, https://doi.org/10.5194/hess-27-3687-2023,https://doi.org/10.5194/hess-27-3687-2023, 2023
Short summary
Technical note: NASAaccess – a tool for access, reformatting, and visualization of remotely sensed earth observation and climate data
Ibrahim Nourein Mohammed, Elkin Giovanni Romero Bustamante, John Dennis Bolten, and Everett James Nelson
Hydrol. Earth Syst. Sci., 27, 3621–3642, https://doi.org/10.5194/hess-27-3621-2023,https://doi.org/10.5194/hess-27-3621-2023, 2023
Short summary
Monitoring the combined effects of drought and salinity stress on crops using remote sensing in the Netherlands
Wen Wen, Joris Timmermans, Qi Chen, and Peter M. van Bodegom
Hydrol. Earth Syst. Sci., 26, 4537–4552, https://doi.org/10.5194/hess-26-4537-2022,https://doi.org/10.5194/hess-26-4537-2022, 2022
Short summary

Cited articles

Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. A., and Kustas, W. P.: A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation, J. Geophys. Res., 112, D10117, https://doi.org/10.1029/2006JD007506, 2007.
Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M.: A remote sensing surface energy balance algorithm for land (SEBAL) 1. Formulation, J. Hydrol., 212–213, 198–212, 1998.
Bittelli, M., Ventura, F., Campbell, G. S., Snyder, R. L., Gallegati, F., and Pisa, P. R.: Coupling heat, water vapor, and liquid water fluxes to compute evaporation in bare soils, J. Hydrol., 362, 191–205, https://doi.org/10.1016/j.jhydrol.2008.08.014, 2008.
Brunsell, N. A.: Characterization of land-surface precipitation feedback regimes with remote sensing, Remote Sens. Environ., 100, 200–211, https://doi.org/10.1016/j.rse.2005.10.025, 2006.
Brutsaert, W.: On a derivable formula for long-wave radiation from clear skies, Water Resour. Res., 11, 742–744, 1975.
Download