Research article
21 Jan 2011
Research article | 21 Jan 2011
Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery
M. C. Anderson et al.
Related subject area
The El Niño event of 2015–2016: climate anomalies and their impact on groundwater resources in East and Southern Africa
Seshagiri Rao Kolusu, Mohammad Shamsudduha, Martin C. Todd, Richard G. Taylor, David Seddon, Japhet J. Kashaigili, Girma Y. Ebrahim, Mark O. Cuthbert, James P. R. Sorensen, Karen G. Villholth, Alan M. MacDonald, and Dave A. MacLeod
Hydrol. Earth Syst. Sci., 23, 1751–1762, https://doi.org/10.5194/hess-23-1751-2019,https://doi.org/10.5194/hess-23-1751-2019, 2019
Using phase lags to evaluate model biases in simulating the diurnal cycle of evapotranspiration: a case study in Luxembourg
Maik Renner, Claire Brenner, Kaniska Mallick, Hans-Dieter Wizemann, Luigi Conte, Ivonne Trebs, Jianhui Wei, Volker Wulfmeyer, Karsten Schulz, and Axel Kleidon
Hydrol. Earth Syst. Sci., 23, 515–535, https://doi.org/10.5194/hess-23-515-2019,https://doi.org/10.5194/hess-23-515-2019, 2019
Short summary
Integrating multiple satellite observations into a coherent dataset to monitor the full water cycle – application to the Mediterranean region
Victor Pellet, Filipe Aires, Simon Munier, Diego Fernández Prieto, Gabriel Jordá, Wouter Arnoud Dorigo, Jan Polcher, and Luca Brocca
Hydrol. Earth Syst. Sci., 23, 465–491, https://doi.org/10.5194/hess-23-465-2019,https://doi.org/10.5194/hess-23-465-2019, 2019
Short summary
The PERSIANN family of global satellite precipitation data: a review and evaluation of products
Phu Nguyen, Mohammed Ombadi, Soroosh Sorooshian, Kuolin Hsu, Amir AghaKouchak, Dan Braithwaite, Hamed Ashouri, and Andrea Rose Thorstensen
Hydrol. Earth Syst. Sci., 22, 5801–5816, https://doi.org/10.5194/hess-22-5801-2018,https://doi.org/10.5194/hess-22-5801-2018, 2018
Short summary
The effect of satellite-derived surface soil moisture and leaf area index land data assimilation on streamflow simulations over France
David Fairbairn, Alina Lavinia Barbu, Adrien Napoly, Clément Albergel, Jean-François Mahfouf, and Jean-Christophe Calvet
Hydrol. Earth Syst. Sci., 21, 2015–2033, https://doi.org/10.5194/hess-21-2015-2017,https://doi.org/10.5194/hess-21-2015-2017, 2017
Short summary
Reservoir storage and hydrologic responses to droughts in the Paraná River basin, south-eastern Brazil
Davi de C. D. Melo, Bridget R. Scanlon, Zizhan Zhang, Edson Wendland, and Lei Yin
Hydrol. Earth Syst. Sci., 20, 4673–4688, https://doi.org/10.5194/hess-20-4673-2016,https://doi.org/10.5194/hess-20-4673-2016, 2016
Short summary
The SPARSE model for the prediction of water stress and evapotranspiration components from thermal infra-red data and its evaluation over irrigated and rainfed wheat
G. Boulet, B. Mougenot, J.-P. Lhomme, P. Fanise, Z. Lili-Chabaane, A. Olioso, M. Bahir, V. Rivalland, L. Jarlan, O. Merlin, B. Coudert, S. Er-Raki, and J.-P. Lagouarde
Hydrol. Earth Syst. Sci., 19, 4653–4672, https://doi.org/10.5194/hess-19-4653-2015,https://doi.org/10.5194/hess-19-4653-2015, 2015
Short summary
Comparison of rainfall estimations by TRMM 3B42, MPEG and CFSR with ground-observed data for the Lake Tana basin in Ethiopia
A. W. Worqlul, B. Maathuis, A. A. Adem, S. S. Demissie, S. Langan, and T. S. Steenhuis
Hydrol. Earth Syst. Sci., 18, 4871–4881, https://doi.org/10.5194/hess-18-4871-2014,https://doi.org/10.5194/hess-18-4871-2014, 2014
Long term soil moisture mapping over the Tibetan plateau using Special Sensor Microwave/Imager
R. van der Velde, M. S. Salama, T. Pellarin, M. Ofwono, Y. Ma, and Z. Su
Hydrol. Earth Syst. Sci., 18, 1323–1337, https://doi.org/10.5194/hess-18-1323-2014,https://doi.org/10.5194/hess-18-1323-2014, 2014
Intercomparison of four remote-sensing-based energy balance methods to retrieve surface evapotranspiration and water stress of irrigated fields in semi-arid climate
J. Chirouze, G. Boulet, L. Jarlan, R. Fieuzal, J. C. Rodriguez, J. Ezzahar, S. Er-Raki, G. Bigeard, O. Merlin, J. Garatuza-Payan, C. Watts, and G. Chehbouni
Hydrol. Earth Syst. Sci., 18, 1165–1188, https://doi.org/10.5194/hess-18-1165-2014,https://doi.org/10.5194/hess-18-1165-2014, 2014
A statistics-based temporal filter algorithm to map spatiotemporally continuous shortwave albedo from MODIS data
N. F. Liu, Q. Liu, L. Z. Wang, S. L. Liang, J. G. Wen, Y. Qu, and S. H. Liu
Hydrol. Earth Syst. Sci., 17, 2121–2129, https://doi.org/10.5194/hess-17-2121-2013,https://doi.org/10.5194/hess-17-2121-2013, 2013
Towards an integrated soil moisture drought monitor for East Africa
W. B. Anderson, B. F. Zaitchik, C. R. Hain, M. C. Anderson, M. T. Yilmaz, J. Mecikalski, and L. Schultz
Hydrol. Earth Syst. Sci., 16, 2893–2913, https://doi.org/10.5194/hess-16-2893-2012,https://doi.org/10.5194/hess-16-2893-2012, 2012
Precipitation observation using microwave backhaul links in the alpine and pre-alpine region of Southern Germany
C. Chwala, A. Gmeiner, W. Qiu, S. Hipp, D. Nienaber, U. Siart, T. Eibert, M. Pohl, J. Seltmann, J. Fritz, and H. Kunstmann
Hydrol. Earth Syst. Sci., 16, 2647–2661, https://doi.org/10.5194/hess-16-2647-2012,https://doi.org/10.5194/hess-16-2647-2012, 2012
Improving evapotranspiration in a land surface model using biophysical variables derived from MSG/SEVIRI satellite
N. Ghilain, A. Arboleda, G. Sepulcre-Cantò, O. Batelaan, J. Ardö, and F. Gellens-Meulenberghs
Hydrol. Earth Syst. Sci., 16, 2567–2583, https://doi.org/10.5194/hess-16-2567-2012,https://doi.org/10.5194/hess-16-2567-2012, 2012
Spatial and temporal variability of biophysical variables in southwestern France from airborne L-band radiometry
E. Zakharova, J.-C. Calvet, S. Lafont, C. Albergel, J.-P. Wigneron, M. Pardé, Y. Kerr, and M. Zribi
Hydrol. Earth Syst. Sci., 16, 1725–1743, https://doi.org/10.5194/hess-16-1725-2012,https://doi.org/10.5194/hess-16-1725-2012, 2012
Comparing soil moisture retrievals from SMOS and ASCAT over France
M. Parrens, E. Zakharova, S. Lafont, J.-C. Calvet, Y. Kerr, W. Wagner, and J.-P. Wigneron
Hydrol. Earth Syst. Sci., 16, 423–440, https://doi.org/10.5194/hess-16-423-2012,https://doi.org/10.5194/hess-16-423-2012, 2012
Evaluation of TRMM Multi-satellite Precipitation Analysis (TMPA) performance in the Central Andes region and its dependency on spatial and temporal resolution
M. L. M. Scheel, M. Rohrer, Ch. Huggel, D. Santos Villar, E. Silvestre, and G. J. Huffman
Hydrol. Earth Syst. Sci., 15, 2649–2663, https://doi.org/10.5194/hess-15-2649-2011,https://doi.org/10.5194/hess-15-2649-2011, 2011
The Tibetan Plateau observatory of plateau scale soil moisture and soil temperature (Tibet-Obs) for quantifying uncertainties in coarse resolution satellite and model products
Z. Su, J. Wen, L. Dente, R. van der Velde, L. Wang, Y. Ma, K. Yang, and Z. Hu
Hydrol. Earth Syst. Sci., 15, 2303–2316, https://doi.org/10.5194/hess-15-2303-2011,https://doi.org/10.5194/hess-15-2303-2011, 2011
Cited articles
Agam, N., Kustas, W. P., Anderson, M. C., Li, F., and Colaizzi, P. D.: Utility of thermal sharpening over Texas High Plains irrigated agricultural fields, J. Geophys. Res., 112, D19110, https://doi.org/19110.11029/12007JD008407, 2007a.
Agam, N., Kustas, W. P., Anderson, M. C., Li, F., and Neale, C. M. U.: A vegetation index based technique for spatial sharpening of thermal imagery, Remote Sens. Environ., 107, 545–558, 2007b.
Agam, N., Kustas, W. P., Anderson, M. C., Li, F., and Colaizzi, P. D.: Utility of thermal image sharpening for monitoring field-scale evapotranspiration over rainfed and irrigated agricultural regions, J. Geophys. Res. Lett., 35, L02402, https://doi.org/10.1029/2007GL032195, 2008.
Allen, R. G., Tasumi, M., and Trezza, R.: Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) – Model, J. Irrig. Drainage Eng., 133(4), 380–394, https://doi.org/10.1061/(ASCE)0733-9437(2007)133:4(380), 2007.
Anderson, M. C., Norman, J. M., Diak, G. R., Kustas, W. P., and Mecikalski, J. R.: A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing, Remote Sens. Environ., 60, 195–216, 1997.
Anderson, M. C., Norman, J. M., Mecikalski, J. R., Torn, R. D., Kustas, W. P., and Basara, J. B.: A multi-scale remote sensing model for disaggregating regional fluxes to micrometeorological scales, J. Hydrometeor., 5, 343–363, 2004.
Anderson, M. C., Norman, J. M., Kustas, W. P., Li, F., Prueger, J. H., and Mecikalski, J. M.: Effects of vegetation clumping on two-source model estimates of surface energy fluxes from an agricultural landscape during SMACEX, J. Hydrometeorol., 6, 892–909, 2005.
Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. P., and Kustas, W. P.: A climatological study of evapotranspiration and moisture stress across the continental U.S. based on thermal remote sensing: II. Surface moisture climatology, J. Geophys. Res., 112, D11112, https://doi.org/11110.11029/12006JD007507, 2007b.
Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. P., and Kustas, W. P.: A climatological study of evapotranspiration and moisture stress across the continental U.S. based on thermal remote sensing: I. Model formulation, J. Geophys. Res., 112, D10117, https://doi.org/10110.11029/12006JD007506, 2007c.
Anderson, M. C., Norman, J. M., Kustas, W. P., Houborg, R., Starks, P. J., and Agam, N.: A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales, Remote Sens. Environ., 112, 4227–4241, 2008.
Anderson, M. C., Hain, C. R., Wardlow, B., Mecikalski, J. R., and Kustas, W. P.: Evaluation of a drought index based on thermal remote sensing of evapotranspiration over the continental U.S., J. Climate, in press, 2011.
Bosilovich, M. G., Chen, J.-L., Robertson, F. R., and Adler, R. F.: Evaluation of precipitation in reanalyses, J. Appl. Meteorol. Climatol., 47, 2279–2299, 2008.
Cammalleri, C., Anderson, M. C., Ciraolo, G., D'Urso, G., Kustas, W. P., La Loggia, G., and Minacapilli, M.: The impact of in-canopy wind profile formulations on heat flux estimation in an open orchard using the remote sensing-based two-source model, Hydrol. Earth Syst. Sci., 14, 2643–2659, https://doi.org/10.5194/hess-14-2643-2010, 2010.
CHG (Confederación Hidrográfica del Guadalquivir): Esquema provisional de temas importantes. Plan de Gestión de Cuenca de la Demarcación Hidrográfica del Guadalquivir, http://www.chguadalquivir.es/export/sites/default/portalchg/planHidrologicoDemarcacion/participacionPublica/consultaPublica/ficheros/esquema_provisional_temas_importantes_guadalquivir.zip 2008 (in Spanish).
Choi, M., Kustas, W. P., Anderson, M. C., Allen, R. G., Li, F., and Kjaersgaard, J. H.: An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region (Iowa, U.S.) during SMACEX, Agric. For. Meteorol., 149, 2082–2097, 2009.
Courault, D., Seguin, B., and Olioso, A.: Review on estimation of evapotranspiration from remote sensing data: From empirical to numerical modeling approaches, Irrigation and Drainage Systems, 19, 223–239, 2005.
Detto, M., Montaldo, N., Albertson, J. D., Mancini, M., and Katul, G.: Soil moisture and vegetation controls on evapotranspiration in a heterogeneous Mediterranean ecosystem on Sardinia, Italy, Water Resour. Res., 42, W08419, https://doi.org/10.1029/2005WR004693, 2006.
Díaz, A., González-Dugo, M. P., Escuin, S., Mateos, L., Cano, F., Cifuentes, V., Tirado, J. L., and Oyonarte, N.: Irrigation water use monitoring at watershed scale using series of high-resolution satellite images, Remote Sensing for Agriculture, Ecosystems, and Hydrology XI, 7472, 74720E, https://doi.org/10.1117/1112.830371, 2009.
D'Urso, G.: Simulation and management of on-deman irrigation systems: a combined agrohydrological and remote sensing approach, Monographs, Wageningen, 173 pp., 2001.
Ganguly, S., Samanta, A., Schull, M. A., Shabanov, N. V., Milesi, C., Nemani, R. R., Knyazikhin, Y., and Myneni, R. B.: Generating vegetation leaf area index Earth system data record from multiple sensors. Part 2: Implementation, analysis and validation, Remote Sens. Environ., 112, 4318–4332, 2008.
Gao, F., Masek, J., Schwaller, M., and Hall, F. G.: On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance, IEE Trans. Geosci. Remote. Sens., 44, 2207–2218, 2006.
González-Dugo, M. P. and Mateos, L.: Spectral vegetation indices for benchmarking water productivity of irrigated cotton and sugarbeet crops, Agr. Water Manage., 95, 48–58, 2008.
Goudriaan, J.: Crop micrometeorology: a simulation study, Simulation Monographs, Wageningen, 249 pp., 1977.
Hain, C. R.: Developing a dual assimilation approach for thermal infrared and passive microwave soil moisture retrievals, PhD Thesis, Dept. of Atmospheric Science, University of Alabama, 2010.
Hansen, M. C., Defries, R. S., Townshend, J. R. G., and Sohlberg, R.: Global land cover classification at 1km spatial resolution using a classification tree approach, Int. J. Remote. Sens., 21, 1331–1364, 2000.
Hope, A. S. and McDowell, T. P.: The relationship between surface temperature and a spectral vegetation index of a tallgrass prairie: Effects of burning and other landscape controls, Int. J. Remote Sensing, 13, 2849–2863, 1992.
Jimenez, C., Prigent, C., Mueller, B., Seneviratne, S. I., McCabe, M. F., Wood, E. F., Rossow, W. B., Balsamo, G., Betts, A. K., Dirmeyer, P. A., Fisher, J. B., Jung, M., Kanamitsu, M., Reichle, R. H., Reichstein, M., Rodell, M., Sheffield, J., Tu, K., and Wang, K.: Global inter-comparison of 12 land surface heat flux estimates, J. Geophys. Res., in press, https://doi.org/10.1029/2010JD014545, 2011.
Kalma, J. D., McVicar, T. R., and McCabe, M. F.: Estimating land surface evaporation: A review of methods using remotely sensing surface temperature data, Survey Geophys., 29(4–5), 421–469, https://doi.org/10.1007/s10712-10008-19037-z, 2008.
Knapp, K. R.: Scientific data stewardship of International Satellite Cloud Climatology Project B1 geostationary observations, J. Appl. Remote Sensing, 2, 023548, https://doi.org/10.1117/1.3043461, 2008.
Kongoli, C. E. and Bland, W. L.: Long-term snow depth simulations using a modified atmosphere-land exchange model, Agric. For. Meteorol., 104, 273–287, 2000.
Kustas, W. P. and Norman, J. M.: Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover, Agric. For. Meteorol., 94, 13–29, 1999.
Kustas, W. P. and Norman, J. M.: A two-source energy balance approach using directional radiometric temperature observations for sparse canopy covered surfaces, Agronomy J., 92, 847–854, 2000.
Kustas, W. P., Diak, G. R., and Norman, J. M.: Time difference methods for monitoring regional scale heat fluxes with remote sensing, Land Surface Hydrology, Meteorology, and Climate: Observations and Modeling, 3, 15–29, 2001.
Kustas, W. P., Norman, J. M., Anderson, M. C., and French, A. N.: Estimating subpixel surface temperatures and energy fluxes from the vegetation index-radiometric temperature relationship, Remote Sens. Environ., 85, 429–440, 2003.
Lacaze, R., Balsamo, G., Baret, F., Bradley, A., Calvet, J.-C., Camacho, F., D'Andrimont, R., Freitas, S. C., Makhmara, H., Naeimi, V., Pacholczyk, P., Poilvé, H., Smets, B., Tansey, K., Trigo, I. F., Wagner, W., and Weiss, M.: Geoland2 – Towards an operational GMES land monitoring core service; First results of the biogeophysical parameter core mapping service, ISPRS TC VII Symposium – 100 Years ISPRS, Vienna, Austria,, IAPRS, 354–359, 2010.
Mecikalski, J. M., Diak, G. R., Anderson, M. C., and Norman, J. M.: Estimating fluxes on continental scales using remotely-sensed data in an atmosphere-land exchange model, J. Applied Meteorol., 38, 1352–1369, 1999.
Merlin, O., Duchemin, B., Hagolle, O., Jacob, F., Coudert, B., Chehbouni, A., Dedieu, G., Garatuza, J., and Kerr, Y.: Disaggregation of MODIS surface temperature over an agricultural area using a time series of Formosat-2 images, Remote Sens. Environ., 114, 2500–2512, 2010.
Mesinger, F., DiMego, G., Kalnay, E., Mitchell, K. E., Shafran, P. C., Ebisuzaki, W., Jovic, D., Woollen, J., Rogers, E., Berbery, E. H., Ek, M. B., Fan, Y., Grumbine, R., Higgins, W., Li, H., Lin, Y., Manikin, G., Parrish, D., and Shi, W.: North American Regional Reanalysis, B. Am. Meteorol. Soc., 87, 343–360, 2006.
Minacapilli, M., Agnese, C., Blanda, F., Cammalleri, C., Ciraolo, G., D'Urso, G., Iovino, M., Pumo, D., Provenzano, G., and Rallo, G.: Estimation of actual evapotranspiration of Mediterranean perennial crops by means of remote-sensing based surface energy balance models, Hydrol. Earth Syst. Sci., 13, 1061–1074, https://doi.org/10.5194/hess-13-1061-2009, 2009.
Mitchell, K. E., Lohmann, D., Houser, P. R., Wood, E. F., Schaake, J. C., Robock, A., Cosgrove, B. A., Sheffield, J., Duan, Q., Luo, L., Higgins, R. W., Pinker, R. T., Tarpley, J. D., Lettenmaier, D. P., Marshall, C. H., Entin, J. K., Pan, M., Shi, W., Koren, V., Meng, J., Ramsay, B. H., and Bailey, A. A.: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system, J. Geophys. Res., 190, D07S90, https://doi.org/10.1029/2003JD003823, 2004.
Moran, M. S.: Thermal infrared measurement as an indicator of plant ecosystem health, in: Thermal Remote Sensing in Land Surface Processes, edited by: Quattrochi, D. A. and Luvall, J., Taylor and Francis, 257–282, 2003.
Norman, J. M., Kustas, W. P., Prueger, J. H., and Diak, G. R.: Surface flux estimation using radiometric temperature: a dual temperature difference method to minimize measurement error, Water Resour. Res., 36, 2263–2274, 2000.
Norman, J. M., Anderson, M. C., Kustas, W. P., French, A. N., Mecikalski, J. R., Torn, R. D., Diak, G. R., Schmugge, T. J., and Tanner, B. C. W.: Remote sensing of surface energy fluxes at 10
1-m pixel resolutions, Water Resour. Res., 39(8), 1221, https://doi.org/10.1029/2002WR001775, 2003.
Persson, A.: User guide to ECMFW forecast products, 115 pp., 2001.
Rana, G. and Katerji, N.: Measurement and estimation of actual evapotranspiration in the field under Mediterranean climate: a review, Eur. J. Agron., 13, 125–153, 2000.
Sánchez, J. M., Scavone, G., Caselles, V., Valor, E., Copertino, V. A., and Tedesca, V.: Monitoring daily evapotranspiration at a regional scale from Landsat-TM and ETM+ data: Application to the Basilicata region, J. Hydrol., 351, 58–70, 2008.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, M., Wang, W., and Powers, J. G.: A description of the Advanced Research WRF Version 2, NCAR Tech Notes-468+STR, 2005.
Smith, R. C. G. and Choudhury, B. J.: Analysis of normalized difference and surface temperature observations over southeastern Australia, Int. J. Remote Sensing, 12, 2021–2044, 1991.
Sobrino, J. A., Jiménez-Muñoz, J. C., Zarco-Tejada, P. J., Sepulcre-Cantó, G., de Miguel, E., Sòria, G., Romaguera, M., Julien, Y., Cuenca, J., Hidalgo, V., Franch, B., Mattar, C., Morales, L., Gillespie, A., Sabol, D., Balick, L., Su, Z., Jia, L., Gieske, A., Timmermans, W., Olioso, A., Nerry, F., Guanter, L., Moreno, J., and Shen, Q.: Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview, Hydrol. Earth Syst. Sci., 13, 2031–2037, https://doi.org/10.5194/hess-13-2031-2009, 2009.
Svoboda, M., LeComte, D., Hayes, M., Heim, R., Gleason, K., Angel, J., Rippey, B., Tinker, R., Palecki, M., Stooksbury, D., Miskus, D., and Stephens, S.: The Drought Monitor, B. Am. Meteorol. Soc., 83, 1181–1190, 2002.
Trigo, I. F., DaCamara, C. C., Viterbo, P., Roujean, J.-L., Olesen, F., Barroso, C. F., Camacho-de Coca, F., Carrer, D., Freitas, S. C., García-Haro, J., Geiger, B., Gellens-Meulenberghs, F., Ghilain, N., Meliá, J., Pessanha, L., Siljamo, N., and Arboleda, A.: The Satellite Application Facility on Land Surface Analysis, Int. J. Remote Sensing, in press, 2011.
van der Kwast, J., Timmermans, W., Gieske, A., Su, Z., Olioso, A., Jia, L., Elbers, J., Karssenberg, D., and de Jong, S.: Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain), Hydrol. Earth Syst. Sci., 13, 1337–1347, https://doi.org/10.5194/hess-13-1337-2009, 2009.
