EPS Daily Land Surface Temperature (EDLST, LSA-002)

NRT Product Available since Jan 2015


Land Surface Temperature (LST) is the radiative skin temperature over land. LST plays an important role in the physics of land surface as it is involved in the processes of energy and water exchange with the atmosphere. LST is useful for the scientific community, namely for those dealing with meteorological and climate models. Accurate values of LST are also of special interest in a wide range of areas related to land surface processes, including meteorology, hydrology, agrometeorology, climatology and environmental studies. Land Surface Emissivity (EM), a crucial parameter for LST retrieval from space, is independently estimated as a function of (satellite derived) Fraction of Vegetation Cover (FVC) and land cover classification.

Product Documentation

This pre-operational is documented in the Algorithm Theoretical Basis Document (ATBD), Product User Manual document (PUM) and the Product Output Format document (POF) The validation results for this product are available in the (VR) document.

Please see Product Peer-Review publications in References.

The use of LSA SAF products in publications is kindly requested to be duly acknowledged:
EDLST was provided by the EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF; Trigo et al., 2011)

Trigo, I. F., C. C. DaCamara, P. Viterbo, J.-L. Roujean, F. Olesen, C. Barroso, F. Camacho-de Coca, D. Carrer, S. C. Freitas, J. García-Haro, B. Geiger, F. Gellens-Meulenberghs, N. Ghilain, J. Meliá, L. Pessanha, N. Siljamo, and A. Arboleda, 2011: The Satellite Application Facility on Land Surface Analysis. Int. J. Remote Sens., 32, 2725-2744, doi: 10.1080/01431161003743199

The EDLST (EPS Daily Land Surface Temperature) provides a day-time and nigh-time retrievals of LST based on clear-sky measurements from the Advanced Very High Resolution Radiometer (AVHRR) on-board EUMETSAT polar system satellites, the Metop series.


Algorithm Description

The Generalised Split-Window (GSW) algorithm (Wan and Dozier, 1996) was chosen to retrieve LST. The GSW performs corrections for atmospheric effects based on the differential absorption in adjacent IR bands and requires EM as input data; a look-up table of optimal coefficients is previously determined at individual classes of satellite viewing angles, and covering different ranges of water vapour and near-surface air temperature.


Data Characteristics

The EDLST product is available on a daily basis in a 1 km global sinusoidal grid centred at (0°N, 0°W).


Product Uncertainties


Wan. Z., J. Dozier, 1996. A generalised split-window algorithm for retrieving land-surface temperature from space, IEEE Trans. Geosci. Remote Sens., vol. 34 no. 34, pp. 892-905.