Estimating latent heat flux over farmland from Landsat images using the improved METRIC model

doi:10.6046/gtzyyg.2018.03.12

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Abstract

Estimation of latent heat flux based on thermal infrared remote sensing is of great significance in agricultural drought and water resources management. This paper examined the applicability of using METRIC model to estimate latent heat flux over farmland from Landsat images. Land surface temperature (T_s) required for estimation of the flux was computed from Landsat thermal infrared data by the mono-window algorithm. Meanwhile, an improved METRIC algorithm based on surface roughness was proposed to estimate the latent heat flux of farmland by improving the surface roughness parameters. The result of the algorithm was verified by the flux observation data from two observation stations of Huailai and Miyun in the Haihe River basin. The results show that the square of correlation coefficient (R ²) between simulated and observed values is 0.97, which is better than the conventional METRIC model (R ² = 0.89). The improved algorithm has higher estimation accuracy of latent heat flux. In addition, the spatial distribution of latent heat flux also shows that the spatial pattern of the improved model is more reasonable. However, due to the limitation of data acquisition, only two stations in Beijing have been used to validate the algorithm, and hence further verification in other areas is needed.

Keywords farmland latent heat flux thermal infrared remote sensing METRIC land surface temperature

TP751.1

Corresponding Authors: Yunjun YAO E-mail: boyyunjun@163.com

Issue Date: 10 September 2018

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	Jian YU
	Yunjun YAO
	Shaohua ZHAO
	Kun JIA
	Xiaotong ZHANG
	Xiang ZHAO
	Liang SUN

Cite this article:

Jian YU,Yunjun YAO,Shaohua ZHAO, et al. Estimating latent heat flux over farmland from Landsat images using the improved METRIC model[J]. Remote Sensing for Land & Resources, 2018, 30(3): 83-88.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.03.12 OR https://www.gtzyyg.com/EN/Y2018/V30/I3/83

Fig.1 Location of 2 flux tower sites throughout the study area

Fig.2 Scatter-plot of retrieved versus observed T_s and estimated versus observed R_n

Fig.3 Scatter-plot of estimated and ground-measured values

Fig.4 Spatial distribution of LE using improved METRIC, traditional METRIC and their differences

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