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Validity of Five Satellite-Based Latent Heat Flux Algorithms for Semi-arid Ecosystems
Feng F.; Chen, J. Q.; Li, X. L.; Yao, Y. J.; Liang, S. L.; Liu, M.; Zhang, N. N.; Guo, Y.; Yu, J.; Sun, M. M.
Source PublicationRemote Sensing
2015
Volume7
Issue12
Pages16733-16755
Keywordlatent heat flux grassland ecosystems revised remote sensing based Penman-Monteith LE algorithm MOD16 modified satellite-based Priestley-Taylor LE algorithm semi-empirical Penman LE algorithm priestley-taylor algorithm penman-monteith equation energy-balance closure eddy-covariance canopy resistance tallgrass prairie carbon-dioxide terrestrial evapotranspiration atmospheric co2 use efficiency
AbstractAccurate estimation of latent heat flux (LE) is critical in characterizing semiarid ecosystems. Many LE algorithms have been developed during the past few decades. However, the algorithms have not been directly compared, particularly over global semiarid ecosystems. In this paper, we evaluated the performance of five LE models over semiarid ecosystems such as grassland, shrub, and savanna using the Fluxnet dataset of 68 eddy covariance (EC) sites during the period 2000-2009. We also used a modern-era retrospective analysis for research and applications (MERRA) dataset, the Normalized Difference Vegetation Index (NDVI) and Fractional Photosynthetically Active Radiation (FPAR) from the moderate resolution imaging spectroradiometer (MODIS) products; the leaf area index (LAI) from the global land surface satellite (GLASS) products; and the digital elevation model (DEM) from shuttle radar topography mission (SRTM30) dataset to generate LE at region scale during the period 2003-2006. The models were the moderate resolution imaging spectroradiometer LE (MOD16) algorithm, revised remote sensing based Penman-Monteith LE algorithm (RRS), the Priestley-Taylor LE algorithm of the Jet Propulsion Laboratory (PT-JPL), the modified satellite-based Priestley-Taylor LE algorithm (MS-PT), and the semi-empirical Penman LE algorithm (UMD). Direct comparison with ground measured LE showed the PT-JPL and MS-PT algorithms had relative high performance over semiarid ecosystems with the coefficient of determination (R-2) ranging from 0.6 to 0.8 and root mean squared error (RMSE) of approximately 20 W/m(2). Empirical parameters in the structure algorithms of MOD16 and RRS, and calibrated coefficients of the UMD algorithm may be the cause of the reduced performance of these LE algorithms with R-2 ranging from 0.5 to 0.7 and RMSE ranging from 20 to 35 W/m(2) for MOD16, RRS and UMD. Sensitivity analysis showed that radiation and vegetation terms were the dominating variables affecting LE Fluxes in global semiarid ecosystem.
Indexed BySCI
Language英语
ISSN2072-4292
DOI10.3390/rs71215853
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/43524
Collection历年回溯文献
Recommended Citation
GB/T 7714
Feng F.,Chen, J. Q.,Li, X. L.,et al. Validity of Five Satellite-Based Latent Heat Flux Algorithms for Semi-arid Ecosystems. 2015.
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