Daily evapotranspirations; Earth observation data; High temporal resolution; Methodological approach; Root mean square errors; Satellite application facilities; Spaceborne observations; Spatial and temporal resolutions; Earth and Planetary Sciences (all)
Abstract :
[en] Evapotranspiration (ET) estimates based on remote sensing are constrained by the spatial and temporal resolution of spaceborne observations. Therefore, the choice to be made is whether modelling at high temporal resolution with geostationary satellites at the cost of the spatial detail, or spatially detailed instantaneous modelling at overpass-time with polar-orbit satellites. This study aimed at exploiting the strength of both modelling approaches and derive daily ET estimates with cell size ≤ 1.0 km. The study was conducted in four sites with different land cover arrangements and catalogued as wetlands. The methodological approach was based on the algorithm behind the operational ET product of the Satellite Application Facility on Land Surface Analysis (LSA-SAF) initiative. The examined period comprised the end of the Spot-Végétation (Spot-V) mission and the first year of Proba-V operational modus. Two aspects were investigated: 1. The adequacy of combining observations from geostationary and Spot-V and Proba-V satellite missions for obtaining the target product; and, 2. The intercompatibility of ET estimates based on Spot-V and Proba-V so that continuous series over the operational period of both missions could be built. The comparison of simulated ET with in situ measured fluxes (eddy covariance) showed that the introduction of more spatial detail through polar-satellite observations resulted in the reduction of bias and root-mean-square error in ET estimates, as compared with estimations where Earth observation data were taken from geostationary satellites only. Moreover, the signals derived from Spot-V and Proba-V exhibited similarity during the period of operational overlap; especially in non-cultivated surfaces. This suggests that continuity objective of these two missions can be exploited in the estimation of ET time series.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Barrios, J.M.; Department of Meteorological and Climatological Research, Royal Meteorological Institute of Belgium, Uccle, Belgium
Ghilain, Nicolas ; Université de Liège - ULiège > Sphères ; Department of Meteorological and Climatological Research, Royal Meteorological Institute of Belgium, Uccle, Belgium
Arboleda, A.; Department of Meteorological and Climatological Research, Royal Meteorological Institute of Belgium, Uccle, Belgium
Sachs, T.; Section Remote Sensing, GFZ German Research Centre for Geosciences, Potsdam, Germany
Gellens-Meulenberghs, F.; Department of Meteorological and Climatological Research, Royal Meteorological Institute of Belgium, Uccle, Belgium
Language :
English
Title :
Daily evapotranspiration at sub-kilometre spatial resolution by combining observations from geostationary and polar-orbit satellites
The research pertaining to these results received financial aid from the Belgian Federal Science Policy according to the agreement of subsidy no. [SR/01/301] under the STEREO III programme. We acknowledge the managers and scientific staff of the measurement sites Anklam, Spreewald, Schechenfilz Nord and Zarnekow for providing flux data.
Banstiaanssen, W. G. M., M., Menenti, R. A., Feddes, and A. A. M., Holtslag. 1998. “A Remote Sensing Surface Energy Balance Algorithm for Land (SEBAL).” Journal of Hydrology 212213: 198–212
Bhattacharya, B., K., Mallick, R., Nigam, K., Dakore, and A. M., Shekh. 2011. “Efficiency Based Wheat Yield Prediction in a Semi-Arid Climate Using Surface Energy Budgeting with Satellite Observations.” Agricultural and Forest Meteorology 151 (10): 1394–1408
Brutsaert, W., 1982. Evaporation into the Atmosphere Theory, History and Applications. Dordrecht, Holland: D. Reidel Publishing Company
A.Chehbouni, J.Qi, D.Lo Seen, Y.H.Kerr, G.Dedieu, S.Moran, M.Daubas, and B.M.Monteny. 1997. “Estimation of Real Evaporation.” In International Workshop on Remote Sensing and Water Resources. Montpellier, France: Food and Agriculture Organization
Chen, R., S., Kang, X., Hao, F., Li, T., Du, R., Qiu, and J., Chen. 2015. “Variations in Tomato Yield and Quality in Relation to Soil Properties and Evapotranspiration under Greenhouse Condition.” Scientia Horticulturae 197: 318–328
Dettmann, U., M., Bechtold, E., Frahm, and B., Tiemeyer. 2014. “On the Applicability of Unimodal and Bimodal Van Genuchten Mualem Based Models to Peat and Other Organic Soils under Evaporation Conditions.” Journal of Hydrology 515: 103–115
European Environment Agency. 2009. “CORINE Land Cover 2000.” http://www.eea.europa.eu/themes/landuse/clc-download
European Space Agency. 2012. “Sentinel-3: ESA’s Global Land and Ocean Mission for GMES Operational Services.” Noordwijk, The Netherlands: ESA Communications. https://sentinels.copernicus.eu/documents/247904/351187/S3_SP-1322_3.pdf
Ghilain, N., A., Arboleda, and F., Gellens-Meulenberghs. 2011. “Evapotranspiration Modelling at Large Scale Using Near-Real Time MSG SEVIRI Derived Data.” Hydrology and Earth System Sciences 15: 771–786
Ghilain, N., F., De Roo, and F., Gellens-Meulenberghs. 2014. “Evapotranspiration Monitoring with Meteosat Second Generation Satellites: Improvement Opportunities from Moderate Spatial Resolution Satellites for Vegetation.” International Journal of Remote Sensing 35 (7): 2654–2670
Gkatsopoulos, P., 2017. A Methodology for Calculating Cooling from Vegetation Evapotranspiration for Use in Urban Space Microclimate Simulations. Procedia Environmental Sciences 38: 477–484. Sustainable synergies from Buildings to the Urban Scale
González-Dugo, M. P., S., Escuin, C. F., Cano, V., Cifuentes, F. L. M., Padilla, J. L., Tirado, N., Oyonarte, P., Fernández, and L., Mateos. 2013. “Monitoring Evapotranspiration of Irrigated Crops Using Crop Coefficients Derived from Time Series of Satellite Images. II. Application on Basin Scale.” Agricultural Water Management 125: 92–104
Hommeltenberg, J., M., Mauder, M., Drösler, K., Heidbach, P., Werle, and H.-P., Schmid. 2014. “Ecosystem Scale Methane Fluxes in a Natural Temperate Bog-Pine Forest in Southern Germany.” Agricultural and Forest Meteorology 198-199: 273–284
Hu, G., L., Jua, and M., Menenti. 2014. “Comparison of MOD16 and LSA-SAF MSG Evapotranspiration Products over Europe for 2011.” Remote Sensing of Envirnment 156: 510–526
Jasechko, S., Z., Sharp, J., Gibson, S. J., Birks, Y., Yi, and P., Fawcett. 2013. “Terrestrial Water Fluxes Dominated by Transpiration.” Nature 496 (7445): 347–350
N.Jovanovic, C.García, R.Bugan, I.Teich, and C.García Rodriguez. 2014. “Validation of Remotely-Sensed Evapotranspiration and NDWI Using Ground Measurements at Riverlands, South Africa.” Water SA 40 (2): 211–220
Ko, J., and G., Piccinni. 2009. “Corn Yield Responses under Crop Evapotranspiration-Based Irrigation Management.” Agricultural Water Management 96 (5): 799–808
Litvak, E., and D., Pataki. 2016. “Evapotranspiration of Urban Lawns in a Semi-Arid Environment: An in Situ Evaluation of Microclimatic Conditions and Watering Recommendations.” Journal of Arid Environments 134: 87–96
Mallick, K., A. J., Jarvis, E., Boegh, J., Fisher, D., Drewry, K., Tu, S., Hook, et al. 2014. “A Surface Temperature Initiated Closure (STIC) for Surface Energy Balance Fluxes.” Remote Sensing of Environment 141: 243–261
V.Masson, J.-L.Champeaux, F.Chauvin, C.Meriguet, and R.Lacaze. 2003. “A Global Database of Land Surface Parameters at 1-Km Resolution in Meteorological and Climate Models.” Journal of Climate 16 (9): 1261–1282
M.Meroni, D.Fasbender, R.Balaghi, M.Dali, M.Haffani, I.Haythem, J.Hooker. 2016. “Evaluating NDVI Data Continuity between SPOT-VEGETATION and PROBA-V Missions for Operational Yield Forecasting in North African Countries.” IEEE Transactions on Geoscience and Remote Sensing 54 (2): 795–804
Millenium Ecosystem Assessment. 2005. “Ecosystems and Human Well-Being Synthesis.” Technical Report. World Resources Institute. ISBN 1-59726-040-1. http://www.millenniumassessment.org/documents/document.356.aspx.pdf
Minacapilli, M., S., Consoli, D., Vanella, G., Ciraolo, and A., Motisi. 2016. “A Time Domain Triangle Method Approach to Estimate Actual Evapotranspiration: Application in A Mediterranean Region Using MODIS and MSG-SEVIRI Products.” Remote Sensing of Environment 174: 10–23
Mu, Q., F. A., Heinsch, M., Zhao, and S. W., Running. 2007. “Development of a Global Evapotranspiration Algorithm Based on MODIS and Global Meteorology Data.” Remote Sensing of Environment 111 (4): 519–536
Nash, J. E., and J. V., Sutcliffe. 1970. “River Flow Forecasting through Conceptual Models Part I -A Discussion of Principles.” Journal of Hydrology 10 (3): 282–290
Nouri, H., S., Beecham, F., Kazemi, A. M., Hassanli, and S., Anderson. 2013. “Remote Sensing Techniques for Predicting Evapotranspiration from Mixed Vegetated Surfaces.” Hydrology and Earth System Sciences Discussions 10: 3897–3925
Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC). 2014. “FLUXNET Portal.” Accessed January15, 2014. http://fluxnet.ornl.gov/
Petropoulos, G., G., Ireland, S., Lamine, H., Griffiths, N., Ghilain, V., Anagnostopoulos, M., North, P., Srivastava, and H., Georgopoulou. 2016. “Operational Evapotranspiration Estimates from SEVIRI in Support of Sustainable Water Management.” International Journal of Applied Earth Observation and Geoinformation 49: 175–187
Royal Meteorological Institute of Belgium. 2010. “Algorithm Theoretical Basis Document Evapotranspiration (MET) Product Daily MET (DMET) Product.” LSA-SAF. http://landsaf.meteo.pt
Royal Meteorological Institute of Belgium. 2011. “Validation Report Evapotranspiration (ET) Products: LSA-16(MET),LSA-17(DMET).” LSA-SAF. http://landsaf.meteo.pt
Sepulcre-Cantó, G., F., Gellens-Meulenberghs, A., Arboleda, G., Duveiller, A., De Wit, H., Eerens, B., Djaby, and P., Defourny. 2013. “Estimating Crop-Specific Evapotranspiration Using Remotesensing Imagery at Various Spatial Resolutions for Improving Crop Growth Modelling.” International Journal of Remote Sensing 34 (9–10): 3274–3288
Sepulcre-Cant´o, G., J., Vogt, A., Arboleda, and T., Antofie. 2014. “Assessment of the EUMETSAT LSA-SAF Evapotranspiration Product for Drought Monitoring in Europe.” International Journal of Applied Earth Observation and Geoinformation 30: 190–202
Tadesse, T., G., Senay, G., Berhan, T., Regassa, and S., Beyene. 2015. “Evaluating A Satellite-Based Seasonal Evapotranspiration Product and Identifying Its Relationship with Other Satellite-Derived Products and Crop Yield: A Case Study for Ethiopia.” International Journal of Applied Earth Observation and Geoinformation 40: 39–54
Trigo, I., C., Dacamara, P., Viterbo, J.-L., Roujean, F., Olesen, C., Barroso, F., Camacho-de Coca, et al. 2011. “The Satellite Application Facility for Land Surface Analysis.” International Journal of Remote Sensing 32 (10): 2725–2744
Van den Hurk, B., P., Viterbo, A., Beljaars, and A., Betts. 2000. Offline validation of the ERA40 surface scheme. Technical Report 295. ECMWF. Tecnical memorandum
Viterbo, P., and A., Beljaars. 1995. “An Improved Land Surface Parameterization Scheme in the ECMWF Model and Its Validation.” Journal of Climate 8: 2716–2748
Wei, Z., P., Paredes, Y., Liu, C., Wei, and L., Pereira. 2015. “Modelling Transpiration, Soil Evaporation and Yield Prediction of Soybean in North China Plain.” Agricultural Water Management 147: 43–53
Wolters, E., W., Dierckx, J., Dries, and E., Swinnen. 2014. “PROBA-V Products User Manual.” VITO. http://proba-v.vgt.vito.be/sites/default/files/Product_User_Manual.pdf
Wu, B., L., Jiang, N., Yan, C., Perry, and H., Zeng. 2014. “Basin-Wide Evapotranspiration Management: Concept and Practical Application in Hai Basin, China.” Agricultural Water Management 145: 145–153
Zedler, J., and S., Kercher. 2005. “WETLAND RESOURCES: Status, Trends, Ecosystem Services, and Restorability.” Annual Review of Environment and Resources 30 (1): 39–74
Zha, T., A., Barr, G., van der Kamp, T. A., Black, J. H., McCaughey, and L., Flanagan. 2010. “Interannual Variation of Evapotranspiration from Forest and Grassland Ecosystems in Western Canada in Relation to Drought.” Agricultural and Forest Meteorology 150 (11): 1476–1484