An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations
Abstract
Accurate estimation of latent heat flux (LE) based on remote sensing data is critical in characterizing terrestrial ecosystems and modeling land surface processes. Many LE products were released during the past few decades, but their quality might not meet the requirements in terms of data consistency and estimation accuracy. Merging multiple algorithms could be an effective way to improve the quality of existing LE products. In this paper, we present a data integration method based on modified empirical orthogonal function (EOF) analysis to integrate the Moderate Resolution Imaging Spectroradiometer (MODIS) LE product (MOD16) and the Priestley-Taylor LE algorithm of Jet Propulsion Laboratory (PT-JPL) estimate. Twenty-two eddy covariance (EC) sites with LE observation were chosen to evaluate our algorithm, showing that the proposed EOF fusion method was capable of integrating the two satellite data sets with improved consistency and reduced uncertainties. Further efforts were needed to evaluate and improve the proposed algorithm at larger spatial scales and time periods, and over different land cover types.
- Authors:
-
- Beijing Normal Univ. (China). College of Global Change and Earth System Science. State Key Lab. of Remote Sensing Science
- Beijing Normal Univ. (China). School of Geography. State Key Lb. of Remote Sensing Science
- Beijing Normal Univ. (China). College of Global Change and Earth System Science. State Key Lab. of Remote Sensing Science; Univ. of Maryland, College Park, MD (United States). Dept. of Geographical Sciences
- Michigan State Univ., East Lansing, MI (United States). Center for Global Change and Earth Observations (CGCEO). Landscape Ecology & Ecosystem Science (LEES) Lab
- Szent István Univ., Gödöllő (Hungary). Inst. of Botany and Ecophysiology; Szent István Univ., Gödöllő (Hungary). MTA-SZIE Plant Ecology Research Group
- Queen's Univ., Kingston, ON (Canada). Dept. of Geography
- Publication Date:
- Research Org.:
- Univ. of Maryland, College Park, MD (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1627799
- Grant/Contract Number:
- FG02-04ER63917; FG02- 04ER63911
- Resource Type:
- Accepted Manuscript
- Journal Name:
- PLoS ONE
- Additional Journal Information:
- Journal Volume: 11; Journal Issue: 7; Journal ID: ISSN 1932-6203
- Publisher:
- Public Library of Science
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Science & Technology - Other Topics
Citation Formats
Feng, Fei, Li, Xianglan, Yao, Yunjun, Liang, Shunlin, Chen, Jiquan, Zhao, Xiang, Jia, Kun, Pintér, Krisztina, and McCaughey, J. Harry. An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations. United States: N. p., 2016.
Web. doi:10.1371/journal.pone.0160150.
Feng, Fei, Li, Xianglan, Yao, Yunjun, Liang, Shunlin, Chen, Jiquan, Zhao, Xiang, Jia, Kun, Pintér, Krisztina, & McCaughey, J. Harry. An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations. United States. https://doi.org/10.1371/journal.pone.0160150
Feng, Fei, Li, Xianglan, Yao, Yunjun, Liang, Shunlin, Chen, Jiquan, Zhao, Xiang, Jia, Kun, Pintér, Krisztina, and McCaughey, J. Harry. Fri .
"An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations". United States. https://doi.org/10.1371/journal.pone.0160150. https://www.osti.gov/servlets/purl/1627799.
@article{osti_1627799,
title = {An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations},
author = {Feng, Fei and Li, Xianglan and Yao, Yunjun and Liang, Shunlin and Chen, Jiquan and Zhao, Xiang and Jia, Kun and Pintér, Krisztina and McCaughey, J. Harry},
abstractNote = {Accurate estimation of latent heat flux (LE) based on remote sensing data is critical in characterizing terrestrial ecosystems and modeling land surface processes. Many LE products were released during the past few decades, but their quality might not meet the requirements in terms of data consistency and estimation accuracy. Merging multiple algorithms could be an effective way to improve the quality of existing LE products. In this paper, we present a data integration method based on modified empirical orthogonal function (EOF) analysis to integrate the Moderate Resolution Imaging Spectroradiometer (MODIS) LE product (MOD16) and the Priestley-Taylor LE algorithm of Jet Propulsion Laboratory (PT-JPL) estimate. Twenty-two eddy covariance (EC) sites with LE observation were chosen to evaluate our algorithm, showing that the proposed EOF fusion method was capable of integrating the two satellite data sets with improved consistency and reduced uncertainties. Further efforts were needed to evaluate and improve the proposed algorithm at larger spatial scales and time periods, and over different land cover types.},
doi = {10.1371/journal.pone.0160150},
journal = {PLoS ONE},
number = 7,
volume = 11,
place = {United States},
year = {2016},
month = {7}
}
Free Publicly Available Full Text
Publisher's Version of Record
Other availability
Search WorldCat to find libraries that may hold this journalFigures / Tables:
Fig 1: Coefficient of determination of latent heat fluxes (PT-JPL model) as a function of the number of leading EOF components. The left Y-axis is the contribution rate of covariance for each single EOF components (blue). The right Y-axis is the contribution rate of cumulative total of variance (red).
All figures and tables
(8 total)
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
Trends in Land–Atmosphere Interactions from CMIP5 Simulations
journal, June 2013
- Dirmeyer, Paul A.; Jin, Yan; Singh, Bohar
- Journal of Hydrometeorology, Vol. 14, Issue 3
Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China
journal, January 2014
- Chen, Yang; Xia, Jiangzhou; Liang, Shunlin
- Remote Sensing of Environment, Vol. 140
Improvements to a MODIS global terrestrial evapotranspiration algorithm
journal, August 2011
- Mu, Qiaozhen; Zhao, Maosheng; Running, Steven W.
- Remote Sensing of Environment, Vol. 115, Issue 8
The net carbon drawdown of small scale afforestation from satellite observations
journal, December 2009
- Montenegro, Alvaro; Eby, Michael; Mu, Qiaozhen
- Global and Planetary Change, Vol. 69, Issue 4
Evaluation of multireanalysis products with in situ observations over the Tibetan Plateau: EVALUATION OF REANALYSIS OVER TIBETAN PLATEAU
journal, March 2012
- Wang, Aihui; Zeng, Xubin
- Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D5
Development of a global evapotranspiration algorithm based on MODIS and global meteorology data
journal, December 2007
- Mu, Qiaozhen; Heinsch, Faith Ann; Zhao, Maosheng
- Remote Sensing of Environment, Vol. 111, Issue 4
MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley–Taylor algorithm
journal, April 2013
- Yao, Yunjun; Liang, Shunlin; Cheng, Jie
- Agricultural and Forest Meteorology, Vol. 171-172
Some terms of reference in data fusion
journal, May 1999
- Wald, L.
- IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, Issue 3
Correcting surface solar radiation of two data assimilation systems against FLUXNET observations in North America: CORRECTING MODELED SOLAR RADIATION
journal, September 2013
- Zhao, Lei; Lee, Xuhui; Liu, Shoudong
- Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 17
Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites
journal, March 2008
- Fisher, Joshua B.; Tu, Kevin P.; Baldocchi, Dennis D.
- Remote Sensing of Environment, Vol. 112, Issue 3
Multi-model ensemble hydrologic prediction using Bayesian model averaging
journal, May 2007
- Duan, Qingyun; Ajami, Newsha K.; Gao, Xiaogang
- Advances in Water Resources, Vol. 30, Issue 5
Energy balance closure at FLUXNET sites
journal, December 2002
- Wilson, Kell; Goldstein, Allen; Falge, Eva
- Agricultural and Forest Meteorology, Vol. 113, Issue 1-4
A Weak-Constraint-Based Data Assimilation Scheme for Estimating Surface Turbulent Fluxes
journal, October 2007
- Qin, Jun; Liang, Shunlin; Liu, Ronggao
- IEEE Geoscience and Remote Sensing Letters, Vol. 4, Issue 4
Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data
journal, July 2010
- Yuan, Wenping; Liu, Shuguang; Yu, Guirui
- Remote Sensing of Environment, Vol. 114, Issue 7
Improvements of the MODIS terrestrial gross and net primary production global data set
journal, March 2005
- Zhao, Maosheng; Heinsch, Faith Ann; Nemani, Ramakrishna R.
- Remote Sensing of Environment, Vol. 95, Issue 2
Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999
journal, June 2003
- Nemani, R. R.
- Science, Vol. 300, Issue 5625
Intercomparison of surface energy flux measurement systems used during the HiWATER-MUSOEXE: INTERCOMPARISON OF FLUX INSTRUMENTS
journal, December 2013
- Xu, Ziwei; Liu, Shaomin; Li, Xin
- Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 23
Estimation of surface turbulent heat fluxes via variational assimilation of sequences of land surface temperatures from Geostationary Operational Environmental Satellites
journal, September 2014
- Xu, Tongren; Bateni, S. M.; Liang, S.
- Journal of Geophysical Research: Atmospheres, Vol. 119, Issue 18
Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations
journal, April 2014
- Yao, Yunjun; Liang, Shunlin; Li, Xianglan
- Journal of Geophysical Research: Atmospheres, Vol. 119, Issue 8
Regional evaporation estimates from flux tower and MODIS satellite data
journal, February 2007
- Cleugh, Helen A.; Leuning, Ray; Mu, Qiaozhen
- Remote Sensing of Environment, Vol. 106, Issue 3
An improved method for estimating global evapotranspiration based on satellite determination of surface net radiation, vegetation index, temperature, and soil moisture
conference, July 2008
- Wang, Kaicun; Liang, Shunlin
- 2008 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters
journal, February 1972
- Priestley, C. H. B.; Taylor, R. J.
- Monthly Weather Review, Vol. 100, Issue 2
Effects of spatial aggregation on the multi-scale estimation of evapotranspiration
journal, April 2013
- Ershadi, A.; McCabe, M. F.; Evans, J. P.
- Remote Sensing of Environment, Vol. 131
On the net surface water exchange rate estimated from remote-sensing observation and reanalysis
journal, March 2014
- Behrangi, Ali; Wong, Sun; Mallick, Kaniska
- International Journal of Remote Sensing, Vol. 35, Issue 6
A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006: GLOBAL RECORD OF LAND SURFACE EVAPOTRANSPIRATION
journal, September 2010
- Zhang, Ke; Kimball, John S.; Nemani, Ramakrishna R.
- Water Resources Research, Vol. 46, Issue 9
A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies
journal, December 2013
- Liang, Shunlin; Zhao, Xiang; Liu, Suhong
- International Journal of Digital Earth, Vol. 6, Issue sup1
Correcting eddy-covariance flux underestimates over a grassland
journal, June 2000
- Twine, T. E.; Kustas, W. P.; Norman, J. M.
- Agricultural and Forest Meteorology, Vol. 103, Issue 3
Validation of Global Evapotranspiration Product (MOD16) using Flux Tower Data in the African Savanna, South Africa
journal, August 2014
- Ramoelo, Abel; Majozi, Nobuhle; Mathieu, Renaud
- Remote Sensing, Vol. 6, Issue 8
Integrating MODIS and CYCLOPES Leaf Area Index Products Using Empirical Orthogonal Functions
journal, May 2011
- Wang, Dongdong; Liang, Shunlin
- IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, Issue 5
Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia
journal, January 2012
- Kim, Hyun Woo; Hwang, Kyotaek; Mu, Qiaozhen
- KSCE Journal of Civil Engineering, Vol. 16, Issue 2
Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis
journal, January 2013
- Mueller, B.; Hirschi, M.; Jimenez, C.
- Hydrology and Earth System Sciences, Vol. 17, Issue 10
Evapotranspiration models compared on a Sierra Nevada forest ecosystem
journal, June 2005
- Fisher, Joshua B.; DeBiase, Terry A.; Qi, Ye
- Environmental Modelling & Software, Vol. 20, Issue 6
Effects of remote sensing pixel resolution on modeled energy flux variability of croplands in Iowa
journal, September 2004
- Kustas, W.
- Remote Sensing of Environment, Vol. 92, Issue 4
An Empirical Orthogonal Function Iteration Approach for Obtaining Homogeneous Radiative Fluxes from Satellite Observations
journal, April 2007
- Zhang, Banglin; Pinker, Rachel T.; Stackhouse, Paul W.
- Journal of Applied Meteorology and Climatology, Vol. 46, Issue 4
A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem
journal, January 2011
- Liu, S. M.; Xu, Z. W.; Wang, W. Z.
- Hydrology and Earth System Sciences, Vol. 15, Issue 4
Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations: GLOBAL LAND EVAPOTRANSPIRATION DATASETS
journal, March 2011
- Mueller, B.; Seneviratne, S. I.; Jimenez, C.
- Geophysical Research Letters, Vol. 38, Issue 6
Evaluation and Intercomparison of Cloud Fraction and Radiative Fluxes in Recent Reanalyses over the Arctic Using BSRN Surface Observations
journal, April 2012
- Zib, Behnjamin J.; Dong, Xiquan; Xi, Baike
- Journal of Climate, Vol. 25, Issue 7
Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches
journal, March 2011
- Vinukollu, Raghuveer K.; Wood, Eric F.; Ferguson, Craig R.
- Remote Sensing of Environment, Vol. 115, Issue 3
Multi-site evaluation of terrestrial evaporation models using FLUXNET data
journal, April 2014
- Ershadi, A.; McCabe, M. F.; Evans, J. P.
- Agricultural and Forest Meteorology, Vol. 187
Global intercomparison of 12 land surface heat flux estimates
journal, January 2011
- Jiménez, C.; Prigent, C.; Mueller, B.
- Journal of Geophysical Research, Vol. 116, Issue D2
Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites
journal, February 2014
- Long, Di; Longuevergne, Laurent; Scanlon, Bridget R.
- Water Resources Research, Vol. 50, Issue 2
Empirical orthogonal functions and related techniques in atmospheric science: A review
journal, January 2007
- Hannachi, A.; Jolliffe, I. T.; Stephenson, D. B.
- International Journal of Climatology, Vol. 27, Issue 9
Interpretation of Extended Empirical Orthogonal Function (EEOF) Analysis
journal, September 1993
- Chen, Jeng-Ming; Harr, Patrick A.
- Monthly Weather Review, Vol. 121, Issue 9
Reconstruction of Historical Sea Surface Temperatures Using Empirical Orthogonal Functions
journal, June 1996
- Smith, Thomas M.; Reynolds, Richard W.; Livezey, Robert E.
- Journal of Climate, Vol. 9, Issue 6
ET come home: potential evapotranspiration in geographical ecology: ET come home
journal, August 2010
- Fisher, Joshua B.; Whittaker, Robert J.; Malhi, Yadvinder
- Global Ecology and Biogeography, Vol. 20, Issue 1
Mapping daily evapotranspiration at field scales over rainfed and irrigated agricultural areas using remote sensing data fusion
journal, March 2014
- Cammalleri, C.; Anderson, M. C.; Gao, F.
- Agricultural and Forest Meteorology, Vol. 186
Reconstruction of incomplete oceanographic data sets using empirical orthogonal functions: application to the Adriatic Sea surface temperature
journal, January 2005
- Alvera-Azcárate, A.; Barth, A.; Rixen, M.
- Ocean Modelling, Vol. 9, Issue 4
EOF Calculations and Data Filling from Incomplete Oceanographic Datasets*
journal, December 2003
- Beckers, J. M.; Rixen, M.
- Journal of Atmospheric and Oceanic Technology, Vol. 20, Issue 12
Mapping of Land-Atmosphere Heat Fluxes and Surface Parameters with Remote Sensing Data
journal, June 2003
- Caparrini, Francesca; Castelli, Fabio; Entekhabi, Dara
- Boundary-Layer Meteorology, Vol. 107, Issue 3
Validation and Application of the Modified Satellite-Based Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration
journal, January 2014
- Yao, Yunjun; Liang, Shunlin; Zhao, Shaohua
- Remote Sensing, Vol. 6, Issue 1
Works referencing / citing this record:
Integrating Latent Heat Flux Products from MODIS and Landsat Data Using Multi-Resolution Kalman Filter Method in the Midstream of Heihe River Basin of Northwest China
journal, July 2019
- Xu, Jia; Yao, Yunjun; Tan, Kanran
- Remote Sensing, Vol. 11, Issue 15
Figures / Tables found in this record:
Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.