Deriving daily evapotranspiration from remotely sensed instantaneous evaporative fraction over olive orchard in semi-arid Morocco

Hydrology and crop water management require daily values of evapotranspiration ET at different time-space scale. Sun synchronous optical remote sensing, which allows for the assessment of ET with high to moderate spatial resolution, provides instantaneous estimates during satellites overpass. Then, usual solutions consist of extrapolating instantaneous to daily values by assuming that evaporative fraction EF is constant throughout the day, providing that daily available energy AE is known. The current study aims at deriving daily ET values from ASTER derived instantaneous estimates, over an olive orchard in a semi-arid region of Moroccan. It has been shown that EF is almost constant under dry conditions, but it depicts a pronounced concave up shape under wet conditions. A new heuristic parameterization is then proposed, which is based on the combination of routine daily meteorological data for characterizing atmospheric dependence, and on optical remote sensing based estimates of instantaneous EF values to take into account the dependence on soil and vegetation conditions. Using the same type of approach, a similar parameterization is next developed for AE. The validation of both approaches shows good performances. The overall method is finally applied to ASTER data. Though performances are reasonably good, their moderate reduction is ascribed to errors on remotely sensed variables. Future works will focus on method portability since its empirical formulation does not account for the direct stomatal response to water availability, as well as on application over different surface and climate conditions.

[1]  J. Norman,et al.  Correcting eddy-covariance flux underestimates over a grassland , 2000 .

[2]  Benoît Duchemin,et al.  Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region , 2007 .

[3]  A-Xing Zhu,et al.  Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Joost C. B. Hoedjes,et al.  Comparison of Large Aperture Scintillometer and Eddy Covariance Measurements: Can Thermal Infrared Data Be Used to Capture Footprint-Induced Differences? , 2007 .

[5]  F. Baret,et al.  Evaluation of kernel-driven BRDF models for the normalization of Alpilles/ReSeDA POLDER data , 2002 .

[6]  Wilfried Brutsaert,et al.  Daytime evaporation and the self-preservation of the evaporative fraction and the Bowen ratio , 1996 .

[7]  Shuichi Rokugawa,et al.  A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images , 1998, IEEE Trans. Geosci. Remote. Sens..

[8]  S. Running,et al.  Regional evaporation estimates from flux tower and MODIS satellite data , 2007 .

[9]  Hiroshi Watanabe,et al.  ASTER Level-1 data processing concept , 1995, Remote Sensing.

[10]  Martin Wild,et al.  On the consistency of trends in radiation and temperature records and implications for the global hydrological cycle , 2004 .

[11]  Dara Entekhabi,et al.  Analysis of evaporative fraction diurnal behaviour , 2007 .

[12]  S. Idso,et al.  Wheat canopy temperature: A practical tool for evaluating water requirements , 1977 .

[13]  Salah Er-Raki,et al.  Evapotranspiration components determined by stable isotope, sap flow and eddy covariance techniques , 2004 .

[14]  Christopher J. Watts,et al.  Large Aperture Scintillometer Used Over A Homogeneous Irrigated Area, Partly Affected By Regional Advection , 2002 .

[15]  Richard G. Allen,et al.  Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model , 2007 .

[16]  Wade T. Crow,et al.  Utility of Assimilating Surface Radiometric Temperature Observations for Evaporative Fraction and Heat Transfer Coefficient Retrieval , 2005 .

[17]  G. Asrar,et al.  Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 , 1984 .

[18]  W. Brutsaert Evaporation into the atmosphere , 1982 .

[19]  Eric Elguero,et al.  Examination of evaporative fraction diurnal behaviour using a soil-vegetation model coupled with a mixed-layer model , 1999 .

[20]  Zhongbo Su,et al.  Remote sensing of land use and vegetation for mesoscale hydrological studies , 2000 .

[21]  Robert J. Gurney,et al.  The theoretical relationship between foliage temperature and canopy resistance in sparse crops , 1990 .

[22]  Yasushi Yamaguchi,et al.  Scaling of land surface temperature using satellite data: A case examination on ASTER and MODIS products over a heterogeneous terrain area , 2006 .

[23]  T. Schmugge,et al.  Recovering Surface Temperature and Emissivity from Thermal Infrared Multispectral Data , 1998 .

[24]  Isabelle Braud,et al.  A simple soil-plant-atmosphere transfer model (SiSPAT) development and field verification , 1995 .

[25]  Catherine Ottlé,et al.  Contribution of Thermal Infrared Remote Sensing Data in Multiobjective Calibration of a Dual-Source SVAT Model , 2006 .

[26]  J. Privette,et al.  Modeling and Inversion in Thermal Infrared Remote Sensing over Vegetated Land Surfaces , 2008 .

[27]  Richard G. Allen,et al.  Using the FAO-56 dual crop coefficient method over an irrigated region as part of an evapotranspiration intercomparison study. , 2000 .

[28]  Bruno Monteny,et al.  Estimating sensible heat flux from radiometric temperature over sparse millet , 1994 .

[29]  William E. Nichols,et al.  Evaluation of the evaporative fraction for parameterization of the surface energy balance , 1993 .

[30]  M. Bierkens,et al.  Assimilation of remotely sensed latent heat flux in a distributed hydrological model , 2003 .

[31]  Albert Olioso,et al.  Assessing the narrowband to broadband conversion to estimate visible, near infrared and shortwave apparent albedo from airborne PolDER data , 2002 .

[32]  Richard Crago,et al.  Hourly and daytime evapotranspiration from grassland using radiometric surface temperatures , 2004 .

[33]  Jean-Pierre Wigneron,et al.  An interactive vegetation SVAT model tested against data from six contrasting sites , 1998 .

[34]  R. Crago,et al.  Conservation and variability of the evaporative fraction during the daytime , 1996 .

[35]  B. Lamb,et al.  Observations and large-eddy simulation modeling of footprints in the lower convective boundary layer , 1997 .

[36]  M. Friedl,et al.  Diurnal Covariation in Soil Heat Flux and Net Radiation , 2003 .

[37]  Monique Y. Leclerc,et al.  Footprint prediction of scalar fluxes from analytical solutions of the diffusion equation , 1990 .

[38]  H. Giordani,et al.  The Land Surface Scheme ISBA within the Météo-France Climate Model ARPEGE. Part I. Implementation and Preliminary Results , 1995 .

[39]  Tiina Markkanen,et al.  Footprint Analysis For Measurements Over A Heterogeneous Forest , 2000 .

[40]  Hiroyuki Fujisada,et al.  ASTER Level-1 data processing algorithm , 1998, IEEE Trans. Geosci. Remote. Sens..

[41]  T. Schmugge,et al.  Comparison of land surface emissivity and radiometric temperature derived from MODIS and ASTER sensors , 2004 .

[42]  Yann Kerr,et al.  Use of meteorological satellites for water balance monitoring in Sahelian regions , 1989 .

[43]  J. Norman,et al.  Remote sensing of surface energy fluxes at 101‐m pixel resolutions , 2003 .

[44]  Gautam Bisht,et al.  Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days , 2005 .

[45]  Gautam Bisht,et al.  Estimation and comparison of evapotranspiration from MODIS and AVHRR sensors for clear sky days over the Southern Great Plains , 2006 .

[46]  A. Chehbouni,et al.  Estimating area-averaged surface fluxes over contrasted agricultural patchwork in a semi-arid region , 2009 .

[47]  Jun Asanuma,et al.  Energy partitioning and its biophysical controls above a grazing steppe in central Mongolia , 2006 .

[48]  Kenta Ogawa,et al.  Estimation of land surface window (8–12 μm) emissivity from multi‐spectral thermal infrared remote sensing — A case study in a part of Sahara Desert , 2003 .

[49]  Wim G.M. Bastiaanssen,et al.  A New Methodology for Assimilation of Initial Soil Moisture Fields in Weather Prediction Models Using Meteosat and NOAA Data. , 1997 .

[50]  T. W. Horst,et al.  Footprint estimation for scalar flux measurements in the atmospheric surface layer , 1992 .

[51]  Maosheng Zhao,et al.  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .

[52]  Yann Kerr,et al.  Using remotely sensed data to estimate area-averaged daily surface fluxes over a semi-arid mixed agricultural land , 2008 .

[53]  T. W. Horst,et al.  Experimental evaluation of analytical and Lagrangian surface-layer flux footprint models , 1996 .

[54]  Wim G.M. Bastiaanssen,et al.  Remote sensing for irrigated agriculture: examples from research and possible applications , 2000 .

[55]  Massimo Menenti,et al.  S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance , 2000 .

[56]  John L. Monteith,et al.  A four-layer model for the heat budget of homogeneous land surfaces , 1988 .

[57]  Lu Zhang,et al.  Evaluation of daily evapotranspiration estimates from instantaneous measurements , 1995 .

[58]  Matthew F. McCabe,et al.  Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA) , 2005 .

[59]  Lalith Chandrapala,et al.  Satellite measurements supplemented with meteorological data to operationally estimate evaporation in Sri Lanka , 2003 .

[60]  M. Abrams The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER): Data products for the high spatial resolution imager on NASA's Terra platform , 2000 .

[61]  Benoît Duchemin,et al.  Improvement of FAO-56 method for olive orchards through sequential assimilation of thermal infrared-based estimates of ET , 2008 .

[62]  Wilfried Brutsaert,et al.  Daily evaporation over a region from lower boundary layer profiles measured with radiosondes , 1991 .

[63]  Albert Olioso,et al.  Retrieval of evapotranspiration over the Alpilles/ReSeDA experimental site using airborne POLDER sensor and a thermal camera , 2005 .

[64]  Martin Wild,et al.  Is the Hydrological Cycle Accelerating? , 2002, Science.

[65]  Albert Olioso,et al.  Derivation of diurnal courses of albedo and reflected solar irradiance from airborne POLDER data acquired near solar noon , 2005 .

[66]  Z. Su The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes , 2002 .

[67]  Yang Wu-nian Atmospheric Correction of Multi-spectral Imagery ASTER , 2008 .

[68]  James L. Wright,et al.  Operational aspects of satellite-based energy balance models for irrigated crops in the semi-arid U.S. , 2005 .

[69]  Gilles Boulet,et al.  Understanding hydrological processes with scarce data in a mountain environment , 2008 .

[70]  A. Chehbouni,et al.  Monitoring wheat phenology and irrigation in Central Morocco: On the use of relationships between evapotranspiration, crops coefficients, leaf area index and remotely-sensed vegetation indices , 2006 .

[71]  D. Baldocchi Flux Footprints Within and Over Forest Canopies , 1997 .

[72]  J. Currie Soil Water , 1969, Nature.

[73]  Fabio Castelli,et al.  Mapping of Land-Atmosphere Heat Fluxes and Surface Parameters with Remote Sensing Data , 2003 .

[74]  Zhanqing Li,et al.  Estimation of evaporative fraction from a combination of day and night land surface temperatures and NDVI: A new method to determine the Priestley-Taylor parameter , 2006 .

[75]  Akira Ono,et al.  Design and preflight performance of ASTER instrument protoflight model , 1998, IEEE Trans. Geosci. Remote. Sens..

[76]  T. W. Horst,et al.  How Far is Far Enough?: The Fetch Requirements for Micrometeorological Measurement of Surface Fluxes , 1994 .

[77]  N. Kiang,et al.  How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak-grass savanna and an annual grassland , 2004 .

[78]  Arnold F. Moene,et al.  The principles of surface flux physics: theory, practice and description of the ECPACK library , 2004 .

[79]  A. Holtslag,et al.  A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .

[80]  Kurtis J. Thome,et al.  Atmospheric correction of ASTER , 1998, IEEE Trans. Geosci. Remote. Sens..

[81]  Albert Olioso,et al.  Simulation of diurnal transpiration and photosynthesis of a water stressed soybean crop , 1996 .

[82]  Ray D. Jackson,et al.  Estimation of Daily Evapotranspiration from one Time-of-Day Measurements , 1983 .

[83]  Pamela L. Nagler,et al.  Integrating Remote Sensing and Ground Methods to Estimate Evapotranspiration , 2007 .

[84]  I. Rodríguez‐Iturbe,et al.  Soil Water Balance and Ecosystem Response to Climate Change , 2004, The American Naturalist.

[85]  Fabio Castelli,et al.  Variational estimation of soil and vegetation turbulent transfer and heat flux parameters from sequences of multisensor imagery , 2004 .

[86]  C. Ottlé,et al.  Future directions for advanced evapotranspiration modeling: Assimilation of remote sensing data into crop simulation models and SVAT models , 2005 .