Title | ||
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A Modified Multi-Source Parallel Model for Estimating Urban Surface Evapotranspiration Based on ASTER Thermal Infrared Data. |
Abstract | ||
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To date, little attention has been given to remote sensing-based algorithms for inferring urban surface evapotranspiration. A multi-source parallel model based on ASTER data was one of the first examples, but its accuracy can be improved. We therefore present a modified multi-source parallel model in this study, which has made improvements in parameterization and model accuracy. The new features of our modified model are: (1) a characterization of spectrally heterogeneous urban impervious surfaces using two endmembers (high- and low-albedo urban impervious surface), instead of a single endmember, in linear spectral mixture analysis; (2) inclusion of an algorithm for deriving roughness length for each land surface component in order to better approximate to the actual land surface characteristic; and (3) a novel algorithm for calculating the component net radiant flux with a full consideration of the fraction and the characteristics of each land surface component. HJ-1 and ASTER data from the Chinese city of Hefei were used to test our model's result with the China-ASEAN ET product. The sensitivity of the model to vegetation and soil fractions was analyzed and the applicability of the model was tested in another built-up area in the central Chinese city of Wuhan. We conclude that our modified model outperforms the initial multi-source parallel model in accuracy. It can obtain the highest accuracy when applied to vegetation-dominated (vegetation proportion > 50%) areas. Sensitivity analysis shows that vegetation and soil fractions are two important parameters that can affect the ET estimation. Our model is applicable to estimate evapotranspiration in other urban areas. |
Year | DOI | Venue |
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2017 | 10.3390/rs9101029 | REMOTE SENSING |
Keywords | Field | DocType |
evapotranspiration,impervious surfaces,multi-source,ASTER,HJ-1A,China-ASEAN ET product | Endmember,Aster (genus),Impervious surface,Vegetation,Roughness length,Parametrization,Remote sensing,Geology,Evapotranspiration,Radiant flux | Journal |
Volume | Issue | Citations |
9 | 10 | 1 |
PageRank | References | Authors |
0.36 | 8 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yu Zhang | 1 | 294 | 98.00 |
Li Long | 2 | 7 | 5.30 |
longqian chen | 3 | 5 | 1.87 |
Zhihong Liao | 4 | 1 | 1.04 |
Yu-Chen Wang | 5 | 34 | 27.05 |
Bingyi Wang | 6 | 1 | 0.36 |
Xiaoyan Yang | 7 | 9 | 5.20 |