A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation
The major bottlenecks of existing algorithms to estimate the spatially distributed surface energy balance in composite terrain by means of remote sensing data are briefly summarised. The relationship between visible and thermal infrared spectral radiances of areas with a sufficiently large hydrologi...
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| Published in | Journal of hydrology (Amsterdam) Vol. 212; no. 1-4; pp. 198 - 212 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.12.1998
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0022-1694 1879-2707 |
| DOI | 10.1016/S0022-1694(98)00253-4 |
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| Abstract | The major bottlenecks of existing algorithms to estimate the spatially distributed surface energy balance in composite terrain by means of remote sensing data are briefly summarised. The relationship between visible and thermal infrared spectral radiances of areas with a sufficiently large hydrological contrast (dry and wet land surface types, vegetative cover is not essential) constitute the basis for the formulation of the new Surface Energy Balance Algorithm for Land (SEBAL). The new algorithm (i) estimates the spatial variation of most essential hydro-meteorological parameters empirically, (ii) requires only field information on short wave atmospheric transmittance, surface temperature and vegetation height, (iii) does not involve numerical simulation models, (iv) calculates the fluxes independently from land cover and (v) can handle thermal infrared images at resolutions between a few meters to a few kilometers. The empirical relationships are adjusted to different geographical regions and time of image acquisition. Actual satellite data is inserted in the derivation of the regression coefficients. Part 2 deals with the validation of SEBAL. |
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| AbstractList | The major bottlenecks of existing algorithms to estimate the spatially distributed surface energy balance in composite terrain by means of remote sensing data are briefly summarised. The relationship between visible and thermal infrared spectral radiances of areas with a sufficiently large hydrological contrast (dry and wet land surface types, vegetative cover is not essential) constitute the basis for the formulation of the new Surface Energy Balance Algorithm for Land (SEBAL). The new algorithm (i) estimates the spatial variation of most essential hydro-meteorological parameters empirically, (ii) requires only field information on short wave atmospheric transmittance, surface temperature and vegetation height, (iii) does not involve numerical simulation models, (iv) calculates the fluxes independently from land cover and (v) can handle thermal infrared images at resolutions between a few meters to a few kilometers. The empirical relationships are adjusted to different geographical regions and time of image acquisition. Actual satellite data is inserted in the derivation of the regression coefficients. Part 2 deals with the validation of SEBAL. |
| Author | Feddes, R.A. Bastiaanssen, W.G.M. Menenti, M. Holtslag, A.A.M. |
| Author_xml | – sequence: 1 givenname: W.G.M. surname: Bastiaanssen fullname: Bastiaanssen, W.G.M. organization: DLO-The Winand Staring Center for Integrated Land, Soil and Water Research, P.O. Box 125, 6700 AC Wageningen, The Netherlands – sequence: 2 givenname: M. surname: Menenti fullname: Menenti, M. organization: DLO-The Winand Staring Center for Integrated Land, Soil and Water Research, P.O. Box 125, 6700 AC Wageningen, The Netherlands – sequence: 3 givenname: R.A. surname: Feddes fullname: Feddes, R.A. organization: Agricultural University Wageningen, Department of Water Resources, Nieuwe Kanaal 11, 6709 PA Wageningen, The Netherlands – sequence: 4 givenname: A.A.M. surname: Holtslag fullname: Holtslag, A.A.M. organization: Royal Netherlands Meteorlogical Institute/Institute of Maritime and Atmospheric Research, P.O. Box 201, 3730 AE De Bilt, The Netherlands |
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| SubjectTerms | algorithms algoritmen energiebalans energy balance evaporatie Evaporation hydrology land land cover oppervlakten Remote sensing simulation models soil spatial data Surface energy balance surface temperature surfaces transmittance vegetation vegetation types |
| Title | A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation |
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