The Satellite Application Facility for Land Surface Analysis

Trigo, Isabel F.; DaCamara, Carlos C.; Viterbo, Pedro; Roujean, Jean‐Louis; Olesen, F.; Barroso, Carla; Camacho-de-Coca, Fernando; Carrer, Dominique; Freitas, Sandra C.; Garcı́a-Haro, Francisco Javier; Geiger, Bernhard; Gellens-Meulenberghs, Françoise; Ghilain, Nicolas; Meliá, J.; Pessanha, Luís; Siljamo, Niilo; Arboleda, Alirio

doi:10.1080/01431161003743199

Cited by 243 publications

(234 citation statements)

References 43 publications

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“…An overview of the LSA-SAF products, brief description of the algorithms and validation results are provided by TRIGO et al (2011). VGT-S (Synthesis) products provide daily and 10-day Maximum Value Composite synthesis of NDVI that are corrected for atmospheric effects.…”

Section: Estimation Of Actual Evapotranspiration Using Sebs Model (Etmentioning

confidence: 99%

Surface Energy Balance System (Sebs) and Satellite Data for Monitoring Water Consumption of Irrigated Sugarcane

et al. 2016

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ABSTRACT:The objective of this research was to evaluate the water consumption of irrigated sugarcane areas using the Surface Energy Balance System (SEBS) driven by products derived from Meteosat Second Generation (MSG), SPOT/VEGETATION, Terra/MODIS satellite data and meteorological observations data from Minas Gerais State, Brazil. The actual evapotranspiration from SEBS model (ET-SEBS) was compared against crop evapotranspiration under standard conditions (ETc), which was obtained from weather data based on reference evapotranspiration (ET0) and the crop coefficient (Kc) values from FAO. Results showed that there was a good agreement between ET-SEBS and ETc when sugarcane was at maximum development stage under center pivot irrigation and the Kc value corresponded to 1.25. The ET-SEBS values seem to overestimate water use during sugarcane late stage in areas which the Kc value was 0.7. Increasing Kc to a value equals to 1.25 for sugarcane late stage, the differences between ETc and ET-SEBS decreased; Kc is not so high at that stage, reinforcing ET-SEBS overestimation. In conclusion, the estimation of evapotranspiration using satellite data and SEBS model approach was appropriated to monitor water usage of large sugarcane areas irrigated by center pivots in Minas Gerais State, Brazil.

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Section: Estimation Of Actual Evapotranspiration Using Sebs Model (Etmentioning

confidence: 99%

Surface Energy Balance System (Sebs) and Satellite Data for Monitoring Water Consumption of Irrigated Sugarcane

et al. 2016

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“…In the methodology proposed here, ET 0 relies essentially on daily values of downward solar flux at the surface obtained from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) radiometer onboard Meteosat Second Generation (MSG), provided by the Satellite Application Facility on Land Surface Analysis (hereafter LANDSAF; see also Trigo et al, 2010). If the approach analyzed here to derive ET 0 proves successfully, the LANDSAF will initiate the retrieval and distribution in near real time or off-line of that parameter from SEVIRI/MSG, as described below.…”

Section: H a R De Bruin Et Al: Reference Crop Evapotranspiration mentioning

confidence: 99%

Reference crop evapotranspiration derived from geo-stationary satellite imagery: a case study for the Fogera flood plain, NW-Ethiopia and the Jordan Valley, Jordan

Bruin

Trigo

Jitan

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract.First results are shown of a project aiming to estimate daily values of reference crop evapotranspiration ET 0 from geo-stationary satellite imagery. In particular, for Woreta, a site in the Ethiopian highland at an elevation of about 1800 m, we tested a radiation-temperature based approximate formula proposed by Makkink (MAK), adopting ET 0 evaluated with the version of the Penman-Monteith equation described in the FAO Irrigation and Drainage paper 56 as the most accurate estimate. More precisely we used the latter with measured daily solar radiation as input (denoted by PMFAO-Rs). Our data set for Woreta concerns a period where the surface was fully covered with short green non-stressed vegetation. Our project was carried out in the context of the Satellite Application Facility on Land Surface Analysis (LANDSAF) facility. Among others, the scope of LANDSAF is to increase benefit from the EUMETSAT Satellite Meteosat Second Generation (MSG). In this study we applied daily values of downward solar radiation at the surface obtained from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) radiometer. In addition, air temperature at 2 m was obtained from 3-hourly forecasts provided by the European Centre for Medium-Range Weather Forecasts (ECMWF).Both MAK and PMFAO-Rs contain the psychrometric "constant", which is proportional to air pressure, which, in turn, decreases with elevation. In order to test elevation effects we tested MAK and its LANDSAF input data for 2 sites in the Jordan Valley located about 250 m b.s.l.Correspondence to: H. A. R. de Bruin (hardb@xs4all.nl) Except for a small underestimation of air temperature at the Ethiopian site at 1800 m, the first results of our LANDSAF-ET 0 project are promising. If our approach to derive ET 0 proves successfully, then the LANDSAF will be able to initiate nearly real time free distribution of ET 0 for the full MSG disk.

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“…The IAASARS/NOA system uses an in-house SVM-based LST retrieval algorithm [34,35] that utilizes as input the cloud-free TIR radiances from the 10.8 and 12 µm SEVIRI spectral bands and emissivity information from the MOD11A2 data product [33]. The evaluation of the employed SEVIRI LST data was performed in [35] using concurrent and collocated, high quality (accuracy of 1-2 • C) independent Meteosat-10 SEVIRI data from LandSAF (Land Surface Analysis Satellite Application Facility [36]) and showed a mean difference of −0.19 • C, a RMSE of 0.5 • C and a Pearson's correlation coefficient (Rho) of 99.8%.…”

Section: Satellite Lst Imagerymentioning

confidence: 99%

Improving the Downscaling of Diurnal Land Surface Temperatures Using the Annual Cycle Parameters as Disaggregation Kernels

et al. 2016

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Abstract:The downscaling of geostationary diurnal thermal data can ease the lack of land surface temperature (LST) datasets that combine high spatial and temporal resolution. However, the downscaling of diurnal LST data is more demanding than single scenes. This is because the spatiotemporal interrelationships of the original LST data have to be preserved and accurately reproduced by the downscaled LST (DLST) data. To that end, LST disaggregation kernels/predictors that provide information about the spatial distribution of LST during different times of a day can prove especially useful. Such LST predictors are the LST Annual Cycle Parameters (ACPs). In this work, multitemporal ACPs are employed for downscaling daytime and nighttime~4 km geostationary LST from SEVIRI (Spinning Enhanced Visible and Infrared Imager) down to 1 km. The overall goal is to assess if the use of the ACPs can improve the estimation of the diurnal range of DLST (daytime DLST minus nighttime DLST). The evaluation is performed by comparing the DLST diurnal range maps with reference data from MODIS (Moderate Imaging Spectroradiometer) and also with data retrieved from a modified version of the TsHARP (Thermal Sharpening) algorithm. The results suggest that the ACPs increase the downscaling performance, improve the estimation of diurnal DLST range and produce more accurate spatial patterns.

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The Satellite Application Facility for Land Surface Analysis

Cited by 243 publications

References 43 publications

Surface Energy Balance System (Sebs) and Satellite Data for Monitoring Water Consumption of Irrigated Sugarcane

Surface Energy Balance System (Sebs) and Satellite Data for Monitoring Water Consumption of Irrigated Sugarcane

Reference crop evapotranspiration derived from geo-stationary satellite imagery: a case study for the Fogera flood plain, NW-Ethiopia and the Jordan Valley, Jordan

Improving the Downscaling of Diurnal Land Surface Temperatures Using the Annual Cycle Parameters as Disaggregation Kernels

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