Performance assessment of the SEVIRI evapotranspiration operational product: Results over diverse mediterranean ecosystems

IEEE Sensors Journal

Volumn 15, Issue 6, 2015, Pages 3412-3423

  Petropoulos, George P ^a   Ireland, Gareth ^a   Cass, Alexander ^a   Srivastava, Prashant K ^b,c  

^a ABERYSTWYTH UNIVERSITY   (United Kingdom)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

Earth Observation; Europe; Evapotranspiration; SEVIRI; Validation

Indexed keywords

DECISION MAKING; EVAPOTRANSPIRATION; WATER CONSERVATION; WATER MANAGEMENT; WATER RESOURCES;

EARTH OBSERVATIONS; EDDY COVARIANCE MEASUREMENTS; EUROPE; ROOT MEAN SQUARE DEVIATIONS; SEVIRI; SPINNING ENHANCED VISIBLE AND INFRARED IMAGER; SUSTAINABLE WATER RESOURCES; VALIDATION;

INFORMATION MANAGEMENT;

EID: 84930620800     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2015.2390031     Document Type: Article

References (42)

1. P. K. Srivastava, D. Han, M. A. Rico-Ramirez, D. Al-Shrafany, and T. Islam, "Data fusion techniques for improving soil moisture deficit using SMOS satellite and WRF-NOAH land surface model", Water Resour. Manage., vol. 27, no. 15, pp. 5069-5087, 2013.
2. P. K. Srivastava, D. Han, M. A. Rico-Ramirez, and T. Islam, "Sensitivity and uncertainty analysis of mesoscale model downscaled hydro-meteorological variables for discharge prediction", Hydrological Processes, vol. 28, no. 15, pp. 4419-4432, Jul. 2014.
3. Z. Sun, M. Gebremichael, J. Ardö, and H. A. R. De Bruin, "Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI data", Hydrol. Earth Syst. Sci., vol. 15, no. 1, pp. 163-170, 2011.
4. E. P. Glenn, A. R. Huete, P. L. Nagler, K. K. Hirschboeck, and P. Brown, "Integrating remote sensing and ground methods to estimate evapotranspiration", Critical Rev. Plant Sci., vol. 26, no. 3, pp. 139-168, 2007.
5. G. P. Petropoulos, Ed., Remote Sensing of Energy Fluxes and Soil Moisture Content. Boca Raton, FL, USA: CRC Press, 2013, ch. 3, pp. 49-84.
6. R. G. Allen, L. S. Pereira, D. Raes, and M. Smith, "Crop evapotranspiration-Guidelines for computing crop water requirements-FAO irrigation and drainage paper 56", FAO, Rome, Italy, Tech. Rep. 56, 1998.
7. B. Mueller et al., "Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations", Geophys. Res. Lett., vol. 38, no. 6, Mar. 2011.
8. M. Marshall et al., "Improving operational land surface model canopy evapotranspiration in Africa using a direct remote sensing approach", Hydrol. Earth Syst. Sci., vol. 17, no. 3, pp. 1079-1091, 2013.
9. Z.-L. Li et al., "A review of current methodologies for regional evapotranspiration estimation from remotely sensed data", Sensors, vol. 9, no. 5, pp. 3801-3853, 2009.
10. A. M. Ishak, R. Remesan, P. K. Srivastava, T. Islam, and D. Han, "Error correction modelling of wind speed through hydro-meteorological parameters and mesoscale model: A hybrid approach", Water Resour. Manage., vol. 27, no. 1, pp. 1-23, 2013.
11. P. K. Srivastava, D. Han, M. A. Rico Ramirez, and T. Islam, "Comparative assessment of evapotranspiration derived from NCEP and ECMWF global datasets through weather research and forecasting model", Atmos. Sci. Lett., vol. 14, no. 2, pp. 118-125, 2013.
12. J. Cristóbal and M. C. Anderson, "Validation of a meteosat second generation solar radiation dataset over the northeastern Iberian Peninsula", Hydrol. Earth Syst. Sci., vol. 17, no. 1, pp. 163-175, 2013.
13. N. Ghilain et al., "Improving evapotranspiration in a land surface model using biophysical variables derived from MSG/SEVIRI satellite", Hydrol. Earth Syst. Sci., vol. 16, no. 8, pp. 2567-2583, 2012.
14. Q. Mu, F. A. Heinsch, M. Zhao, and S. W. Running, "Development of a global evapotranspiration algorithm based on MODIS and global meteorology data", Remote Sens. Environ., vol. 111, no. 4, pp. 519-536, Dec. 2007.
15. 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., vol. 15, no. 3, pp. 771-786, 2011.
16. Land Surface Analysis Satellite Applications Facility (LSA-SAF). [Online]. Available: http://landsaf.meteo.pt/SearchDocument.do, accessed Dec. 11, 2014.
17. F. Gellens-Meulenberghs, N. Ghilain, and A. Arboleda, "Land surface evapotranspiration as seen from meteosat second generation satellites: LSA-SAF developments and perspectives", in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Jul. 2012, pp. 1018-1021.
18. R. Fensholt et al., "Analysing the advantages of high temporal resolution geostationary MSG SEVIRI data compared to polar operational environmental satellite daita for land surface monitoring in Africa", Int. J. Appl. Earth Observat. Geoinf., vol. 13, no. 5, pp. 721-729, 2011.
19. Z. Jia, S. Liu, and Z. Xu, "Validation of remotely sensed evapotranspiration: A case study", in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Jul. 2010, pp. 2119-2122.
20. Q. Mu, M. Zhao, and S. W. Running, "Improvements to a MODIS global terrestrial evapotranspiration algorithm", Remote Sens. Environ., vol. 115, no. 8, pp. 1781-1800, 2011.
21. E. P. Glenn, C. M. U. Neale, D. J. Hunsaker, and P. L. Nagler, "Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems", Hydrological Processes, vol. 25, no. 26, pp. 4050-4062, Dec. 2011.
22. T. J. Jackson et al., "Validation of soil moisture and ocean salinity (SMOS) soil moisture over watershed networks in the U. S.", IEEE Trans. Geosci. Remote Sens., vol. 50, no. 5, pp. 1530-1543, May 2012.
23. J. T. Morisette, F. Baret, and S. Liang, "Special issue on global land product validation", IEEE Trans. Geosci. Remote Sens., vol. 44, no. 7, pp. 1695-1697, Jul. 2006.
24. W. Mauser and S. Schädlich, "Modelling the spatial distribution of evapotranspiration on different scales using remote sensing data", J. Hydrol., vols. 212-213, pp. 250-267, Dec. 1998.
25. R. R. Nemani and S. W. Running, "Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data", J. Appl. Meteorol., vol. 28, no. 4, pp. 276-284, 1989.
26. G. P. Petropoulos, Ed., Remote Sensing of Energy Fluxes and Soil Moisture Content. Boca Raton, FL, USA: CRC Press, 2013, ch. 1, pp. 3-28.
27. I. L. Castillejo-González et al., "Object- and pixel-based analysis for mapping crops and their agro-environmental associated measures using QuickBird imagery", Comput. Electron. Agricult., vol. 68, no. 2, pp. 207-215, 2009.
28. P. Viterbo and A. C. M. Beljaars, "An improved land surface parameterization scheme in the ECMWF model and its validation", J. Climate, vol. 8, no. 11, pp. 2716-2748, 1995.
29. M. Aubinet et al., "Estimates of the annual net carbon and water exchange of forests: The EUROFLUX methodology", Adv. Ecological Res., vol. 30, pp. 113-175, 1999.
30. D. D. Baldocchi, "Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: Past, present and future", Global Change Biol., vol. 9, no. 4, pp. 479-492, 2003.
31. K. B. Wilson, P. J. Hanson, P. J. Mulholland, D. D. Baldocchi, and S. D. Wullschleger, "A comparison of methods for determining forest evapotranspiration and its components: Sap-flow, soil water budget, eddy covariance and catchment water balance", Agricult. Forest Meteorol., vol. 106, no. 2, pp. 153-168, Jan. 2001.
32. W. P. Kustas, "Estimates of evapotranspiration with a one- and two-layer model of heat transfer over partial canopy cover", J. Appl. Meteorol., vol. 29, no. 8, pp. 704-715, 1990.
33. S. Li, S. Kang, F. Li, and L. Zhang, "Evapotranspiration and crop coefficient of spring maize with plastic mulch using eddy covariance in northwest China", Agricult. Water Manage., vol. 95, no. 11, pp. 1214-1222, 2008.
34. P. L. Nagler, R. L. Scott, C. Westenburg, J. R. Cleverly, E. P. Glenn, and A. R. Huete, "Evapotranspiration on western U. S. rivers estimated using the enhanced vegetation index from MODIS and data from eddy covariance and Bowen ratio flux towers", Remote Sens. Environ., vol. 97, no. 3, pp. 337-351, 2005.
35. K. Wilson et al., "Energy balance closure at FLUXNET sites", Agricult. Forest Meteorol., vol. 113, nos. 1-4, pp. 223-243, 2002.
36. T. Foken, "The energy balance closure problem: An overview", Ecological Appl., vol. 18, no. 6, pp. 1351-1367, 2008.
37. F. Li et al., "Utility of remote sensing-based two-source energy balance model under low- and high-vegetation cover conditions", J. Hydrometeorol., vol. 6, no. 6, pp. 878-891, Dec. 2005.
38. M. A. Martinez, Algorithm Theoretical Basis Document for SEVIRI Physical Retrieval Product, (SPhR-PGE13 v2.0), SAF/NWC/CDOP2/INM/SCI/ATBD/13, Issue 2, Rev. 0, 2013.
39. C. J. Willmott et al., "Statistics for the evaluation and comparison of models", J. Geophys. Res., Oceans (1978-2012), vol. 90, no. C5, pp. 8995-9005, 1985.
40. Z. Sun et al., "Estimation of daily evapotranspiration over Africa using MODIS/Terra and SEVIRI/MSG data", Atmos. Res., vol. 112, pp. 35-44, Aug. 2012.
41. T. E. Twine et al., "Correcting eddy-covariance flux underestimates over a grassland", Agricult. Forest Meteorol., vol. 103, no. 3, pp. 279-300, 2000.
42. L. Mahrt, "Nocturnal boundary-layer regimes", Boundary-Layer Meteorol., vol. 88, no. 2, pp. 255-278, Aug. 1998.