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

Satellite remote sensing is a promising technique to estimate global or regional evapotranspiration (ET) or evaporative fraction (EF) of the surface total net radiation budget. The current methods of estimating the ET (or EF) from the gradient between land surface temperature (Ts) and near surface air temperature are very sensitive to the retrieval errors of Ts and the interpolation errors of air temperature from the ground-based point measurements. Two types of methods have been proposed to reduce this sensitivity: the thermal inertia method and the Ts–normalized difference vegetation index (NDVI) (Ts–NDVI) spatial variation method. The former is based on the temporal difference between Ts retrievals, and the latter uses the spatial information of Ts. Another approach is proposed here that combines the advantages of the two types of methods and uses day–night Ts difference–NDVI (ΔTs–NDVI). Ground-based measurements collected by Energy Balance Bowen Ratio systems at the 11 enhanced facilities located at the Southern Great Plains of the United States from April 2001 to May 2005 were analyzed to identify parameterization of EF. ΔTs–NDVI spatial variations from the Aqua and Terra MODerate-resolution Imaging Spectroradiometer (MODIS) global daily products, at 1km resolution were used to estimate EF. Ground-based measurements taken during 16days in 2004 were used to validate the MODIS EF retrievals. The EFs retrieved from the spatial variations of ΔTs–NDVI show a distinct improvement over that retrieved from the ΔTs–NDVI. The EF can be retrieved with a mean relative accuracy of about 17% with the proposed ΔTs–NDVI spatial variations.

[1]  Marc B. Parlange,et al.  Regional scale evaporation and the atmospheric boundary layer , 1995 .

[2]  Diagnostics of land surface spatial variability and water vapor flux , 1995 .

[3]  C. D. Allen,et al.  Equilibrium, Potential and Actual Evaporation from Cropped Surfaces in Southern Ontario , 1973 .

[4]  E. Boegh,et al.  A Remote Sensing Study of the NDVI–Ts Relationship and the Transpiration from Sparse Vegetation in the Sahel Based on High-Resolution Satellite Data , 1999 .

[5]  M. Friedl,et al.  Sources of variation in radiometric surface temperature over a tallgrass prairie , 1994 .

[6]  Thomas J. Jackson,et al.  Microwave Brightness Temperature for Semiarid Rangelands , 1993 .

[7]  I. Sandholt,et al.  A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status , 2002 .

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

[9]  Z. Wan,et al.  Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA , 2004 .

[10]  J. C. Price Thermal inertia mapping: A new view of the Earth , 1977 .

[11]  Martha C. Anderson,et al.  Estimating land surface energy budgets from space: Review and current efforts at the University of Wisconsin-Madison and USDA-ARS , 2004 .

[12]  M. S. Moran,et al.  Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index , 1994 .

[13]  José A. Sobrino,et al.  Combining afternoon and morning NOAA satellites for thermal inertia estimation: 2. Methodology and application , 1999 .

[14]  T. Carlson,et al.  A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover , 1994 .

[15]  Z. Wan,et al.  Quality assessment and validation of the MODIS global land surface temperature , 2004 .

[16]  Rob R. Walker,et al.  Evapotranspiration components from energy balance, sapflow and microlysimetry techniques for an irrigated vineyard in inland Australia , 2004 .

[17]  Zhao-Liang Li,et al.  A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data , 1997, IEEE Trans. Geosci. Remote. Sens..

[18]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[19]  Martha C. Anderson,et al.  ESTIMATING LAND SURFACE ENERGY BUDGETS FROM SPACE , 2004 .

[20]  Pamela L. Nagler,et al.  Evapotranspiration on western U.S. rivers estimated using the Enhanced Vegetation Index from MODIS and data from eddy covariance and Bowen ratio flux towers , 2005 .

[21]  Frank Veroustraete,et al.  Estimating evapotranspiration of European forests from NOAA-imagery at satellite overpass time: Towards an operational processing chain for integrated optical and thermal sensor data products , 2005 .

[22]  Martha C. Anderson,et al.  A Two-Source Time-Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing , 1997 .

[23]  S. Running,et al.  Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data , 1989 .

[24]  Marc B. Parlange,et al.  On the concept of equilibrium evaporation and the value of the Priestley-Taylor coefficient. , 1996 .

[25]  Mark A. Friedl,et al.  Forward and inverse modeling of land surface energy balance using surface temperature measurements , 2002 .

[26]  J. C. Price,et al.  On the Use of Satellite Data to Infer Surface Fluxes at Meteorological Scales , 1982 .

[27]  S. Islam,et al.  Estimation of surface evaporation map over Southern Great Plains using remote sensing data , 2001 .

[28]  M. S. Moran,et al.  Determination of sensible heat flux over sparse canopy using thermal infrared data , 1989 .

[29]  J. Monteith,et al.  Principles of Environmental Physics , 2014 .

[30]  F. Aires,et al.  Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale: Relationship of satellite observations to in situ soil moisture measurements , 2005 .

[31]  J. C. Price Using spatial context in satellite data to infer regional scale evapotranspiration , 1990 .

[32]  Bhaskar J. Choudhury,et al.  Analysis of normalized difference and surface temperature observations over southeastern Australia , 1991 .

[33]  Joan M. Galve,et al.  Ground measurements for the validation of land surface temperatures derived from AATSR and MODIS data , 2005 .

[34]  Jeff Dozier,et al.  A generalized split-window algorithm for retrieving land-surface temperature from space , 1996, IEEE Trans. Geosci. Remote. Sens..

[35]  Kaicun Wang,et al.  Preliminary accuracy assessment of MODIS land surface temperature products at a semi-desert site , 2005, Other Conferences.

[36]  W. Kustas,et al.  A verification of the 'triangle' method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation Index (NDVI) and surface e , 1997 .

[37]  P. Rowntree,et al.  Atmospheric Parameterization Schemes for Evaporation over Land: Basic Concepts and Climate Modeling Aspects , 1991 .

[38]  A. Abdellaoui,et al.  Use of Meteosat for Mapping Thermal Inertia and Evapotranspiration over a Limited Region of Mali , 1986 .

[39]  L. Jiang,et al.  An intercomparison of regional latent heat flux estimation using remote sensing data , 2003 .

[40]  C. Priestley,et al.  On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters , 1972 .

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

[42]  J. M. Richards,et al.  A simple expression for the saturation vapour pressure of water in the range −50 to 140°C , 1971 .

[43]  Gary G. Gibson,et al.  A Climatology of Surface Radiation Budget Derived from Satellite Data , 1999 .

[44]  R. Colwell Remote sensing of the environment , 1980, Nature.

[45]  Zhanqing Li,et al.  Global climatologies of solar radiation budgets at the surface and in the atmosphere from 5 years of ERBE data , 1993 .

[46]  Gautam Bisht,et al.  Comparison of evaporative fractions estimated from AVHRR and MODIS sensors over South Florida , 2004 .

[47]  J. Norman,et al.  Surface flux estimation using radiometric temperature: A dual‐temperature‐difference method to minimize measurement errors , 2000 .

[48]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[49]  Wilfried Brutsaert,et al.  Application of self‐preservation in the diurnal evolution of the surface energy budget to determine daily evaporation , 1992 .

[50]  Samuel N. Goward,et al.  Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements: An exploration with the simplified simple biosphere model , 2002 .

[51]  Atsumu Ohmura,et al.  Objective Criteria for Rejecting Data for Bowen Ratio Flux Calculations , 1982 .

[52]  A. Lacis,et al.  Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data , 2004 .

[53]  T. Komatsu,et al.  NOTES AND CORRESPONDENCE Toward a Robust Phenomenological Expression of Evaporation Efficiency for Unsaturated Soil Surfaces , 2003 .

[54]  Ramakrishna R. Nemani,et al.  An operational remote sensing algorithm of land surface evaporation , 2003 .

[55]  Alexander P. Trishchenko,et al.  Natural variability and sampling errors in solar radiation measurements for model validation over the Atmospheric Radiation Measurement Southern Great Plains region , 2005 .

[56]  Massimo Menenti,et al.  Aggregation effects of surface heterogeneity in land surface processes , 1999 .

[57]  V. Salomonson,et al.  MODIS: advanced facility instrument for studies of the Earth as a system , 1989 .

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

[59]  Thomas J. Schmugge,et al.  An interpretation of methodologies for indirect measurement of soil water content , 1995 .

[60]  Fabio Castelli,et al.  Estimation of Surface Turbulent Fluxes through Assimilation of Radiometric Surface Temperature Sequences , 2004 .

[61]  M. Ringer,et al.  Simulation of the Earth's radiation budget by the European Centre for Medium-Range Weather Forecasts 40-year reanalysis (ERA40) , 2004 .

[62]  D. Pratt,et al.  The thermal inertia approach to mapping of soil moisture and geology , 1979 .

[63]  Alfred J Prata,et al.  An Assessment of the Accuracy of Land Surface Temperature Determination from the GMS-5 VISSR , 1999 .

[64]  Zhao-Liang Li,et al.  Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data , 2002 .

[65]  Wan Kai-cun,et al.  USING SATELLITE REMOTELY SENSED DATA TO RETRIEVE SENSIBLE AND LATENT HEAT FLUXES: A REVIEW , 2005 .

[66]  Jerald A. Brotzge,et al.  Examination of the Surface Energy Budget: A Comparison of Eddy Correlation and Bowen Ratio Measurement Systems , 2003 .

[67]  Pamela L. Nagler,et al.  Predicting riparian evapotranspiration from MODIS vegetation indices and meteorological data , 2005 .

[68]  Xiuji Zhou,et al.  Estimating surface solar radiation over complex terrain using moderate‐resolution satellite sensor data , 2005 .

[69]  Xiuji Zhou,et al.  Estimation of surface long wave radiation and broadband emissivity using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature//emissivity products , 2005 .

[70]  W. Oechel,et al.  FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities , 2001 .