An improved method for atmospheric transmissivity inversion based on field atmospheric modes

doi:10.6046/gtzyyg.2016.04.14

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Abstract

When the land surface temperature(LST) is inverted by using mono-window algorithm, it is difficult to obtain atmospheric transmissivity when detailed atmospheric profile data are absent. In this study, an atmospheric transmissivity inversion method was improved using three basic parameters comprising near-surface temperature, relative humidity and atmospheric pressure based on the field atmospheric modes. The authors established the corresponding equations to estimate atmospheric transmittance when the atmospheric moisture content exceeds 0.4~3.0 g·cm^-2. On such a basis, the authors monitored the atmospheric transmissivity changes on nationwide scale. The results of the study show that the method proposed in this paper has very high precision under the condition of lower atmospheric moisture content. The precision of LST is improved by about 25% to 71%, and only when the relative error is between 1.33% and 4.07%, the LST produces error between 0.2℃ and 0.6℃.

Keywords infrared imager spectrum simulation signal to noise ratio(SNR) index setting

TP751.1

Issue Date: 20 October 2016

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	WEI Dandan
	GAN Fuping
	ZHANG Zhenhua
	XIAO Chenchao
	TANG Shaofan
	ZHAO Huijie

Cite this article:

WEI Dandan,GAN Fuping,ZHANG Zhenhua, et al. An improved method for atmospheric transmissivity inversion based on field atmospheric modes[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 88-92.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.04.14 OR https://www.gtzyyg.com/EN/Y2016/V28/I4/88

[1] 赵英时.遥感应用分析原理与方法[M].北京:科学出版社,2003. Zhao Y S.Application Analysis Principle and Method of Remote Sensing[M].Beijing:Science Press,2003.
[2] Qin Z H,Dall'Olmo G,Karnieli A,et al.Derivation of split window algorithm and its sensitivity analysis for retrieving land surface temperature from NOAA-advanced very high resolution radiometer data[J].Journal of Geophysical Research,2001,106(D19):22655-22670.
[3] 覃志豪,Li W J,Zhang M H,等.单窗算法的大气参数估计方法[J].国土资源遥感,2003,15(2):37-43.doi:10.6046/gtzyyg.2003.02.10. Qin Z H,Li W J,Zhang M H,et al.Estimating of the essential atmospheric parameters of mono-window algorithm for land surface temperature retrieval from Landsat TM6[J].Remote Sensing for Land and Resources,2003,15(2):37-43.doi:10.6046/gtzyyg.2003.02.10.
[4] Ahn Y,Shanmugam P,Lee J H,et al.Application of satellite infrared data for mapping of thermal plume contamination in coastal ecosystem of Korea[J].Marine Environmental Research,2006,61(2):186-201.
[5] Barsi J A,Barker J L,Schott J R.An Atmospheric correction parameter calculator for a single thermal band earth-sensing instrument[C]//Proceedings of the IEEE International Geoscience and Remote Sensing Symposium.Toulouse,France:IEEE,2003,5:3014-3016.
[6] 邢前国,陈楚群,施平.利用Landsat数据反演近岸海水表层温度的大气校正算法[J].海洋学报,2007,29(3):23-30. Xing Q G,Chen C Q,Shi P.Atmospheric correction of using Landsat data to retrieve sea surface temperature in coastal waters[J].Acta Oceanologica Sinica,2007,29(3):23-30.
[7] 王强.基于地表相对湿度数据反演地表温度研究[J].安徽农业科学,2010,38(36):20855-20858. Wang Q.Study of land surface temperature inversion based on data of land relative humidity[J].Journal of Anhui Agricultural Sciences,2010,38(36):20855-20858.
[8] 覃志豪,Zhang M H,Karnieli A,等.用陆地卫星TM6数据演算地表温度的单窗算法[J].地理学报,2001,56(4):456-466. Qin Z H,Zhang M H,Karnieli A,et al.Mono-window algorithm for retrieving land surface temperature from Landsat TM6 data[J].Acta Geographica Sinica,2001,56(4):456-466.
[9] Franca G B,Cracknell A P.Retrieval of land and sea surface temperature using NOAA-11 AVHRR data in north-eastern Brazil[J].International Journal of Remote Sensing,1994,15(8):1695-1712.