Spatiotemporal variation of surface energy flux in Hefei City based on multi-spectral data

Changyu Liu; Tao Luo; Shumei Deng; Xuebin Ma; Kaixuan Yang

doi:10.1117/12.3015344

30 April 2024 Spatiotemporal variation of surface energy flux in Hefei City based on multi-spectral data

Changyu Liu, Tao Luo, Shumei Deng, Xuebin Ma, Kaixuan Yang

Proceedings Volume 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies; 131570E (2024) https://doi.org/10.1117/12.3015344
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

MODIS data and SEBS model were used to estimate the surface energy flux in Hefei City from March to December 2021. Verified by comparison with the EC measured values, and the sensitivity analysis of each parameter in the model was carried out. The results show that the net radiation flux(Rn) is the highest in September and the lowest in December. The Rn of water body is the highest, and urban area is the lowest. There was little correlation between soil heat flux(G) and seasonal variation. The main urban area and water body were higher, while the G was lower in the area with high vegetation coverage. The sensible heat flux(H) is obviously affected by the seasons, and the average H in December is the lowest, and even negative. Compared with the measured value, the average absolute error is 9W/m², and the average relative error is 7%. The latent heat flux(LE) average absolute error between the inversion value and the measured value is 97W/m², and the average relative error is 25.9%. The LE is relatively small in the main urban area, and relatively large in the area with high vegetation coverage. Sensitivity analysis of the model parameters was shows that the Rn is negatively correlated with the surface reflectance and surface temperature, and the expansion and contraction of air pressure, NDVI and wind speed have no effect on the Rn, G was negatively correlated with NDVI. Surface temperature and air temperature have the greatest influence on H and LE.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Changyu Liu, Tao Luo, Shumei Deng, Xuebin Ma, and Kaixuan Yang "Spatiotemporal variation of surface energy flux in Hefei City based on multi-spectral data", Proc. SPIE 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies, 131570E (30 April 2024); https://doi.org/10.1117/12.3015344

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KEYWORDS

Data modeling

Heat flux

Air temperature

Reflectivity

Remote sensing

Solar radiation models

Surface air temperature

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