Land Surface Temperature (LST) 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.
Available Products:
- MLST: LST retrieval from clear-sky infrared observations performed by SEVIRI/MSG (also available as monthly composites); demonstration product available for the Indian Ocean Data Coverage (IODC)
- DLST: 10-day composites of MLST, including pixel-wise maximum, minimum and median LST at each acquisition time and respective Thermal Surface Parameters
- MLST-AS: All-sky LST based on a merge of the MLST product with cloudy LST derived by a Energy Balance Model
- EDLST: LST retrieval from clear-sky infrared observations performed by AVHRR/Metop
The use of LSA SAF products in publications is kindly requested to be duly acknowledged:
[product] was provided by the EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF; Trigo et al., 2011)
http://lsa-saf.eumetsat.int
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
Product specific citations:
- MLST [LSA-004]:
Ermida, S.L., Trigo, I.F., DaCamara, C.C., Pires, A.C., 2018. A Methodology to Simulate LST Directional Effects Based on Parametric Models and Landscape Properties. Remote Sens. 10, 1114. https://doi.org/10.3390/rs10071114
- MLST [LSA-001, LSA-004, LSA-050]:
Trigo, I.F., Monteiro, I.T., Olesen, F., Kabsch, E., 2008. An assessment of remotely sensed land surface temperature. J. Geophys. Res. 113, 1–12. https://doi.org/10.1029/2008JD010035
- DLST [LSA-003]:
Göttsche, Frank-M. , and Olesen, Folke-S. (2009), Modelling the effect of optical thickness on diurnal cycles of land surface temperature. Remote Sensing of Environment, Vol. 113(11), pp. 2306-2316. https://doi.org/10.1016/j.rse.2009.06.006
Hong, F., Zhan, W., Göttsche, F.-M., Liu, Z., Zhou, J., Huang, F., Lai, J. and Li, M. (2018), Comprehensive assessment of four-parameter diurnal land surface temperature cycle models under clear-sky. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 142, pp. 190-204. https://doi.org/10.1016/j.isprsjprs.2018.06.008
- MLST-AS [LSA-005]:
Martins, J.P.A., Trigo, I.F., Ghilain, N., Jimenez, C., Göttsche, F.-M., Ermida, S.L., Olesen, F.-S., Gellens-Meulenberghs, F., Arboleda, A., 2019. An all-weather land surface temperature product based on MSG/SEVIRI observations. Remote Sens. 11. https://doi.org/10.3390/rs11243044
- EDLST [LSA-002]:
Trigo, I.F., Ermida, S.L., Martins, J.P.A., Gouveia, C.M., Göttsche, F.-M., Freitas, S.C., 2021. Validation and consistency assessment of land surface temperature from geostationary and polar orbit platforms: SEVIRI/MSG and AVHRR/Metop. ISPRS J. Photogramm. Remote Sens. 175, 282–297. https://doi.org/10.1016/J.ISPRSJPRS.2021.03.013
Available data formats:
- Geostationary/sinusoidal grid in HDF5
- Regular grid in NETCDF4
Data Server information:
Register here to access the LSA-SAF Data Server
When available, the Data Record (DR) datasets replace the corresponding Near Real Time (NRT) data in the Data Server for the overlapping period. The DR ensures continuous times series since it is produce with the most recent algorithm version. To obtain NRT data for the DR period plase contact the Help Desk.
| Product | Sensor/ Platform | Spatial coverage | Spatial resolution | Temporal Coverage | Temporal resolution | Documentation | Data access | |
|---|---|---|---|---|---|---|---|---|
 | MSG LST1 | SEVIRI/ MSG | Europe, Africa, South America | 3 km 0.05ox0.05o | 2021-NRT | 15 min | MSG/MLST/ | |
| MSG LST1 | SEVIRI/ MSG | Europe, Africa, South America | 3 km 0.05ox0.05o | 2005-2021 | 15 min | ||
| MSG LST | SEVIRI/ MSG | Europe, Africa, South America | 3 km 0.05ox0.05o | 2004-2015 | 15 min | Access Here | |
 | MSG-IODC LST | SEVIRI/ MSG | Europe, Africa, Middle East | 3 km 0.05ox0.05o | 2017-NRT | 15 min | Access Here | |
 | MSG Derived LST | SEVIRI/ MSG | Europe, Africa, South America | 3 km 0.05ox0.05o | 2015-NRT | 10-daily | ||
 | MSG-IODC | SEVIRI/ MSG | Europe, Africa, Middle East | 3 km | 2017-NRT | 10-daily | ||
 | MSG LST | SEVIRI/ MSG | Europe, Africa, South America | 3 km 0.05ox0.05o | 2004-NRT | 30 min | ||
| MSG LST | SEVIRI/ MSG | Europe, Africa, South America | 3 km 0.05ox0.05o | 2020-NRT | 30 min | ||
 | EPS Daily LST | AVHRR/ Metop | Global | 1 km 0.01ox0.01o | 2015-NRT | Day/night |
1the LST variable is consistent across products LSA-001 and LSA-004
Land Surface Emissivity (EM) is an intrinsic property of all materials, which measures their efficiency in converting heat into radiation. It is a critical variable in the quantification of the surface energy budget and for the estimation of surface parameters from earth observation data. The LSE varies with surface composition, roughness and water content. It also depends on observation conditions, such as the sensed wavelength, spatial resolution and viewing angle.
Available Products:
- MEM: daily LSE estimates base on the Vegetation Cover Method
- MEMD: direct emissivity retrieval based on a Kalman filter approach, a physical scheme that allows the simultaneous retrieval of surface emissivity and temperature
The use of LSA SAF products in publications is kindly requested to be duly acknowledged:
[product] was provided by the EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF; Trigo et al., 2011)
http://lsa-saf.eumetsat.int
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
Product specific citations:
- MEM:
Trigo, I.F., Peres, L.F., Dacamara, C.C., Freitas, S.C., 2008. Thermal land surface emissivity retrieved from SEVIRI/Meteosat. IEEE Trans. Geosci. Remote Sens. 46, 307–315.
- MEMD [LSA-006]:
Masiello, G., Serio, C., De Feis, I., Amoroso, M., Venafra, S., Trigo, I.F., Watts, P., 2013. Kalman filter physical retrieval of surface emissivity and temperature from geostationary infrared radiances. Atmos. Meas. Tech. 6, 3613–3634. https://doi.org/10.5194/amt-6-3613-2013
Available data formats:
- Geostationary/sinusoidal grid in HDF5
- Regular grid in NETCDF4
Data Server information:
Register here to access the LSA-SAF Data Server
| Product | Sensor/ Platform | Spatial coverage | Spatial resolution | Temporal Coverage | Temporal resolution | Documentation | Data access | |
|---|---|---|---|---|---|---|---|---|
 | MSG EM Demonstration | SEVIRI/ MSG | Europe, Africa, South America | 3 km 0.05ox0.05o | 2004-NRT | daily | Access Here | |
| MSG-IODC EM Demonstration | SEVIRI/ MSG | Europe, Africa, Middle East | 3 km | 2017-NRT | daily | Access Here | MSG-IODC/MEM |
 | MSG EM Pre-operational | SEVIRI/ MSG | Europe, Africa, South America | 3 km 0.05ox0.05o | 2020-NRT | daily |