Abstract
Actual Evapotranspiration (ETa) is one of the main components of the hydrologic cycle and a continuous effort arises in order to improve its estimation. In this study in-situ data from selected meteorological stations over central Greece are used to calculate daily ETa values during the warm season. These values then are combined with ETa values computed with SEBAL (Surface Energy Balance Algorithm for Land) method. SEBAL is an image-processing model comprised of 25 computational submodels that computes ETa and other energy exchanges as a component of energy balance. A series of Landsat-7 Enhanced Thematic Mapper Plus (ETM+) satellite images were acquired and used for the estimation of ETa on a pixel-by-pixel basis. Landsat images consist of eight spectral bands with a spatial resolution of 30 m for Bands 1–7. ETa values generated from two different sources are then analyzed and annotated. Finally ETa values are mapping provided a useful and efficient tool for the estimation of regional actual evapotranspiration used for water resources and irrigation scheduling and management.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alexandridis TK, Chemin Y, Cherif I, Tsakoumis G, Galanis G, Arampatzis G, Zalidis GC, Silleos NG, Stavrinos E (2008) Improving spatial resolution of agricultural water use estimation using ALOS AVNIR-2 imagery. In: Proceedings of the ALOS principal investigators symposium, Rhodes, Greece, 8pp, 3–7 Nov 2008
Allen RG (2000) REF-ET: reference evapotranspiration calculation software for FAO and ASCE standardized equations, University of Idaho, www.kimberly.uidaho.edu/ref-et/
Bastiaanssen WGM (2000) SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. J Hydrol 229:87–100. doi:10.1016/S0022-1694(99)00202-4
Bastiaanssen WGM, Menenti M, Feddes RA, Holtslag AAM (1998a) A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation. J Hydrol 212–213:198–212
Bastiaanssen WGM, Pelgrum H, Wang J, Ma Y, Moreno J, Roerink GJ, van der Wal T (1998b) The surface energy balance algorithm for land (SEBAL): part 2 validation. J Hydrol 212–213:213–229
Bastiaanssen WGM, Noordman EJM, Pelgrum H, Davids G, Thoreson BP, Allen RG (2005) SEBAL model with remotely sensed data to improve water resources management under actual field conditions. J Irrig Drain E-ASCE 131:85–93
Gao ZQ, Liu CS, Gao W, Chang NB (2011) A coupled remote sensing and the surface energy balance with topography algorithm (SEBTA) to estimate actual evapotranspiration over heterogeneous terrain. Hydrol Earth Syst Sci 15:119–139
Li ZL, Tang R, Wan Z, Bi Y, Zhou C, Tang B, Yan G, Zhang X (2009) A review of current methodologies for regional evapotranspiration estimation from remotely sensed data. Sensors 9:3801–3853. doi:10.3390/s90503801
Liakatas A, Anadranistakis M (1992) Derived meteorological parameters: evapotranspiration, hydroscope: creation of a National Databank for Hydrological and Meteorological Information, Contractor: Department of water resources, hydraulic and maritime engineering – N.T.U.A, Report 5/4, Hellenic National Meteorological Service, Athens, 31 Dec 1992, p 31
Monin AS, Obukhov AM (1954) Basic laws of turbulent mixing in the surface layer of the atmosphere. Tr Akad Nauk SSSR Geofiz Inst 24:163–187
Morse A, Kramber WJ, Allen RG, Tasumi M (2004) Use of the METRIC evapotranspiration model to compute water use by irrigated agriculture in Idaho. In: Proceedings of the 2004 international geophysical and remote sensing symposium; Anchorage, AK
Olioso A, Chauki H, Courault D, Wigneron JP (1999) Estimation of evapotranspiration and photosynthesis by assimilation of remote sensing data into SVAT models. Remote Sens Environ 68:341–356. doi:10.1016/S0034-4257(98)00121-7
Papadavid G, Hatjimitsis D, Toulios L (2011) Estimating evapotranspiration of groundnuts using remote sensing; a modified SEBAL model under the current Cypriot conditions. Hydrol Sci J (in press)
Penman HL (1963) Vegetation and Hydrology. Technical Communication No. 53, Commonwealth Bureau of Soils, Harpenden, UK
Priestley CHB, Taylor RJ (1972) On the assessment of surface heat flux and evaporation using large-scale parameters. Mon Weather Rev 100(2):81–92
Shuttleworth WJ (1993) Evaporation. In: Maidment DR (ed) Handbook of hydrology. McGraw Hill, New York, pp 4.1–4.53
Spiliotopoulos M, Loukas, Vasiliades L (2008) Actual evapotranspiration estimation from satellite-based surface energy balance model in Thessaly, Greece. In: Fifth EGU General Assembly, Geophysical Research Abstracts 10, p 08278
Tsakiris G (1995) Water Resources: 1. Technical Hydrology (in Greek). Simmetria Publications, Athens, Greece
Waters R, Allen R, Bastiaanssen W (2002) SEBAL. Surface Energy Balance Algorithms for Land. Idaho Implementation. Advanced Training and Users Manual, Idaho, USA
Acknowledgments
This work is supported by EFP7’s “Sustainable use of irrigation water in the Mediterranean Region” (SIRIMED). The authors acknowledge National Observatory of Athens, and Centre for Research and Technology, Thessaly, Greece for the provided meteorological data as well as NASA Warehouse Inventory Search Tool for the provided satellite data.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Spiliotopoulos, M., Loukas, A., Michalopoulou, H. (2013). Contribution to the Study of Regional Actual Evapotranspiration with the Use of Surface Energy Balance and Remote Sensing for Central Greece. In: Helmis, C., Nastos, P. (eds) Advances in Meteorology, Climatology and Atmospheric Physics. Springer Atmospheric Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29172-2_44
Download citation
DOI: https://doi.org/10.1007/978-3-642-29172-2_44
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29171-5
Online ISBN: 978-3-642-29172-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)