Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia

Evapotranspiration (ET), or the sum of water released to the atmosphere from ground surfaces, intercepts canopy precipitation through evaporation and plant transpiration and is one of the most significant components in the water cycle. In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) 16 global terrestrial ET products were validated at 17 flux tower locations in Asia. Overall, overestimations due to energy balance misclosure distorted the trend of the data at nine locations [r: 0.27–0.82; bias: −21.41–2.38 mm 8-d−1; Root Mean Square Error (RMSE): 6.12–21.81 mm 8-d−1]. Regardless of variation in the scattering patterns, good agreements between MODIS-based ET and ET measured at the flux towers were observed at five locations (r: 0.50–0.76; bias: −1.42–1.99 mm 8-d−1; RMSE: 1.99–8.96 mm 8-d−1). Underestimation at one site (r = 0.28, bias = −17.00 mm 8-d−1, RMSE = 17.41 mm 8-d−1) was accompanied by mismatches at two sites (r = 0.12–0.18; bias = −4.19 — −0.04 mm 8-d−1, RMSE = 5.76–7.66 mm 8-d−1). The best performances of the MOD16 ET algorithm were observed at sites with forested land cover, but no substantial differences were found under a variety of climate conditions. This study is the first comprehensive trial to validate global terrestrial MODIS ET in Asia, showing that a MODIS global terrestrial ET product can estimate actual ET with reasonable accuracy. We believe that our results can be used as baseline ET values for satellite image-based ET mapping research in South Korea.

[1]  Thomas J. Jackson,et al.  Utility of Remote Sensing–Based Two-Source Energy Balance Model under Low- and High-Vegetation Cover Conditions , 2005 .

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

[3]  W. Oechel,et al.  Energy balance closure at FLUXNET sites , 2002 .

[4]  B. Rudolf,et al.  World Map of the Köppen-Geiger climate classification updated , 2006 .

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

[6]  Nathan Phillips,et al.  Survey and synthesis of intra‐ and interspecific variation in stomatal sensitivity to vapour pressure deficit , 1999 .

[7]  J. Randerson,et al.  Climate control of terrestrial carbon exchange across biomes and continents , 2010 .

[8]  Maosheng Zhao,et al.  Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses , 2006 .

[9]  J. Monteith Evaporation and environment. , 1965, Symposia of the Society for Experimental Biology.

[10]  Shafiqul Islam,et al.  Estimation of evaporative fraction and evapotranspiration from MODIS products using a complementary based model , 2008 .

[11]  M. Aubinet,et al.  Comparing CO2 Storage and Advection Conditions at Night at Different Carboeuroflux Sites , 2005 .

[12]  A. J. Dolman,et al.  The Roughness Length for Heat of Sparse Vegetation , 1995 .

[13]  M. Mccabe,et al.  Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data , 2008 .

[14]  Terry A. Howell,et al.  Remote sensing of contrasting tillage practices in the Texas Panhandle , 2008 .

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

[16]  Alvaro Montenegro,et al.  The net carbon drawdown of small scale afforestation from satellite observations , 2009 .

[17]  Jinkyu Hong,et al.  HydroKorea and CarboKorea: cross-scale studies of ecohydrology and biogeochemistry in a heterogeneous and complex forest catchment of Korea , 2006, Ecological Research.

[18]  Alan H. Strahler,et al.  Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals: 1. Algorithm performance , 2003 .

[19]  Keith E. Schilling,et al.  Effects of land cover on water table, soil moisture, evapotranspiration, and groundwater recharge: A Field observation and analysis , 2006 .

[20]  Tae-Woong Kim,et al.  Evapotranspiration estimation using the Landsat-5 Thematic Mapper image over the Gyungan watershed in Korea , 2011 .

[21]  Wilfried Brutsaert,et al.  Evaporation into the atmosphere : theory, history, and applications , 1982 .

[22]  Ramakrishna R. Nemani,et al.  Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[23]  John S. Kimball,et al.  Satellite assessment of land surface evapotranspiration for the pan‐Arctic domain , 2009 .

[24]  William P. Kustas,et al.  Utility of Radiometric–aerodynamic Temperature Relations for Heat Flux Estimation , 2007 .

[25]  Jean-Paul Lhomme,et al.  Sensible Heat Flux-Radiometric Surface Temperature Relationship Over Sparse Vegetation: Parameterizing B-1 , 2000, Boundary-Layer Meteorology.

[26]  Minoru Gamo,et al.  Multiple site tower flux and remote sensing comparisons of tropical forest dynamics in Monsoon Asia , 2008 .

[27]  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 .

[28]  Hans Peter Schmid,et al.  Experimental design for flux measurements: matching scales of observations and fluxes , 1997 .

[29]  N. C. Strugnell,et al.  First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .

[30]  J. Jacobs,et al.  Utility of Penman–Monteith, Priestley–Taylor, reference evapotranspiration, and pan evaporation methods to estimate pasture evapotranspiration , 2005 .

[31]  Daniel Taylor,et al.  Rates of nocturnal transpiration in two evergreen temperate woodland species with differing water-use strategies. , 2010, Tree physiology.

[32]  William P. Kustas,et al.  An Evaluation of Two Models for Estimation of the Roughness Height for Heat Transfer between the Land Surface and the Atmosphere , 2001 .

[33]  D. Hollinger,et al.  Uncertainty in eddy covariance measurements and its application to physiological models. , 2005, Tree physiology.

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

[35]  S. Seneviratne,et al.  Recent decline in the global land evapotranspiration trend due to limited moisture supply , 2010, Nature.

[36]  P. Ciais,et al.  Assimilation of global MODIS leaf area index retrievals within a terrestrial biosphere model , 2007 .

[37]  Alan H. Strahler,et al.  Global land cover mapping from MODIS: algorithms and early results , 2002 .

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

[39]  William P. Kustas,et al.  Mapping surface energy fluxes with radiometric temperature. , 2003 .

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

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

[42]  William P. Kustas,et al.  An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region (Iowa, U.S.) during SMACEX , 2009 .

[43]  W. Adger,et al.  Successful adaptation to climate change across scales , 2005 .

[44]  Ming Xu,et al.  Evapotranspiration models compared on a Sierra Nevada forest ecosystem , 2005, Environ. Model. Softw..

[45]  J. Richards,et al.  Nighttime Stomatal Conductance and Transpiration in C3 and C4 Plants1[W] , 2006, Plant Physiology.

[46]  Maosheng Zhao,et al.  Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .

[47]  J. Norman,et al.  Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover , 1999 .

[48]  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 .

[49]  G. Meehl,et al.  The Importance of Land-Cover Change in Simulating Future Climates , 2005, Science.

[50]  D. Baldocchi,et al.  Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites , 2008 .

[51]  Martha C. Anderson,et al.  Advances in thermal infrared remote sensing for land surface modeling , 2009 .

[52]  Christopher B. Field,et al.  Direct impacts on local climate of sugar-cane expansion in Brazil , 2011 .

[53]  C. Woodcock,et al.  Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals: 2. Validation , 2003 .

[54]  Alan H. Strahler,et al.  Validation of the MODIS bidirectional reflectance distribution function and albedo retrievals using combined observations from the aqua and terra platforms , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[55]  N. Phillips,et al.  Interspecific variation in nighttime transpiration and stomatal conductance in a mixed New England deciduous forest. , 2006, Tree physiology.