Land surface evapotranspiration as seen from Meteosat Second Generation Satellites: LSA-SAF developments and perspectives

Gellens-Meulenberghs, F.; Ghilain, Nicolas; Arboleda, A.

doi:10.1109/IGARSS.2012.6351228

Paper published in a journal (Scientific congresses and symposiums)

Land surface evapotranspiration as seen from Meteosat Second Generation Satellites: LSA-SAF developments and perspectives

Gellens-Meulenberghs, F.; Ghilain, Nicolas; Arboleda, A.

2012 • In International Geoscience and Remote Sensing Symposium (IGARSS), p. 1018 - 1021

Peer reviewed

Permalink
https://hdl.handle.net/2268/341804

DOI
10.1109/IGARSS.2012.6351228

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

igarss.2012.6351228.pdf

Author postprint (342.92 kB)

Download

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

hydrology; land surface; Meteorology; remote monitoring; water resources; Derived data; Land surface; Meteosat second generations; Near real-time datum; Near-real time; Operational monitoring; Remote monitoring; SEVIRI instruments; Spatial resolution; Computer Science Applications; Earth and Planetary Sciences (all)

Abstract :

[en] The 'Land-Surface-Analysis' SAF (LSA-SAF, http://landsaf.meteo.pt/), is dedicated to the operational monitoring of land surface. For this purpose, it develops algorithms to obtain near real time data products. The evapotranspiration (ET), cannot be observed directly by remote sensing and is assessed indirectly through modelling. The ET algorithm uses Meteosat Second Generation (MSG) derived data. It produces in near real time ET estimates at the SEVIRI instrument spatial resolution each 30 minutes. Validation already carried out attests the robustness of the proposed algorithm, notably over Europe. Nevertheless, research will be pursued during coming years, looking for additional validation sites and evolving towards an improved combination of remote sensed observations and models. © 2012 IEEE.

Disciplines :

Earth sciences & physical geography

Author, co-author :

Gellens-Meulenberghs, F.; Royal Meteorological Institute (RMI) of Belgium, B-1180 Brussels, Belgium

Ghilain, Nicolas ; Université de Liège - ULiège > Sphères ; Royal Meteorological Institute (RMI) of Belgium, B-1180 Brussels, Belgium

Arboleda, A.; Royal Meteorological Institute (RMI) of Belgium, B-1180 Brussels, Belgium

Language :

English

Title :

Land surface evapotranspiration as seen from Meteosat Second Generation Satellites: LSA-SAF developments and perspectives

Publication date :

December 2012

Event name :

2012 IEEE International Geoscience and Remote Sensing Symposium

Event place :

Munich, Germany

Event date :

22-07-2012 => 27-07-2012

Audience :

International

Journal title :

International Geoscience and Remote Sensing Symposium (IGARSS)

Publisher :

IEEE

Pages :

1018 - 1021

Peer review/Selection committee :

Peer reviewed

Additional URL :

http://xplorestaging.ieee.org/ielx5/6334512/6350328/06351228.pdf?arnumber=6351228

Funders :

GRSS - Geoscience and Remote Sensing Society

Available on ORBi :

since 23 February 2026

Statistics

Number of views

39 (0 by ULiège)

Number of downloads

29 (0 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenAlex citations

Bibliography

D. Courault, B. Seguin, and A. Olioso, "Review on estimation of evapotranspiration from remote sensing data: from empirical to numerical modelling approaches", Irrigation and Drainage Systems, vol 19, pp. 223-249, 2005.
H. A. R. De Bruin, I. F. Trigo, M. A. Jitan, N. Temesgen Enku, C. van der Tol, and A. S. M. Gieske, "Reference crop evapotranspiration derived from geo-stationary satellite imagery: a case study for the Fogera flood plain, NW-Ethiopia and the Jordan Valley, Jordan", Hydrol. Earth Syst. Sci., doi:10.5194/hess-14- 2219-2010, vol 14, pp. 2219-2228, 2010.
N. Ghilain, A. Arboleda, and F. Gellens-Meulenberghs, "Evapotranspiration modelling at large scale using near-real time MSG SEVIRI derived data", Hydrol. Earth Syst. Sci., doi:10.5194/hess-15-771- 2011, vol 15, pp. 771-786, 2011.
N. Ghilain, A. Arboleda, G. Sepulcre-Cantò, O. Batelaan, J. Ardö, and F. Gellens-Meulenberghs, "Improving evapotranspiration in land surface models by using biophysical parameters derived from MSG/SEVIRI satellite", Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hessd-8-9113- 2011, vol 8, pp. 9113-9171, 2011.
J. D. Kalma, T. R. McVicar, and M. F. McCabe, "Estimating Land Surface Evapotranspiration: A Review of Methods Using Remotely Sensed Surface Temperature Data", Surv. Geophys, vol 29, pp. 4-5, 2008.
Z.-L. Li, R. Tang, Z. Wan, Y. Bi, C. Zhou, B. Tang, G. Yan, and X. Zhang, "A review of current methodologies for regional evapotranspiration estimation from remotely sensed data", Sensors, doi:10.3390/s90503801, vol 9, pp. 3801-3853, 2009.
V., Masson, J. L. Champeaux, F. Chauvin, Ch. Meriguet, and R. A. Lacaze, "Global database of land surface parameters at 1-km resolution in meteorological and climate models", J. Climate, vol 16 (9), pp. 1261-1282, 2003.
B. J. J. M. van den Hurk, P. Viterbo, A. C. M. Beljaars, and A. K. Betts, "Offline validation of the ERA40 surface scheme", ECMWF Technical Memorandum, no. 295, 41 pp, 2000.
P. Viterbo, and A. C. M. Beljaars, "An improved land surface parameterization scheme in the ECMWF model and its validation", J. Climate, vol 8, pp. 2716-2748, 1995.