气候变化领域集成服务门户(CCPortal): Influence of adjacency effect on high-spatial-resolution thermal infrared imagery: Implication for radiative transfer simulation and land surface temperature retrieval

CCPortal

DOI	10.1016/j.rse.2020.111852
	Influence of adjacency effect on high-spatial-resolution thermal infrared imagery: Implication for radiative transfer simulation and land surface temperature retrieval
	Duan S.-B.; Li Z.-L.; Gao C.; Zhao W.; Wu H.; Qian Y.; Leng P.; Gao M.
发表日期	2020
ISSN	00344257
卷号	245
英文摘要	The influence of adjacency effect on high-spatial-resolution satellite imagery in the visible and near infrared region has been studies since the 1980s. However, the adjacency effect is usually neglected in the thermal infrared (TIR) region. The conventional TIR radiative transfer equation (RTE) only takes into account radiance from target pixel and neglects radiance contribution from surrounding background pixels. In this study, two TIR RTEs taking into account the adjacency effect for uniform and non-uniform Lambertian surfaces were deduced based on the radiative transfer theory. In terms of the TIR RTEs, we analyze the dominating influence factors of the adjacency effect and quantify the magnitude of the adjacency effect in the TIR region using simulation and actual satellite data. Two different definitions of the adjacency effect are presented in this study: (1) the effect due to radiance from background pixels scattered into sensor's instantaneous field of view, and (2) the effect due to apparent thermal contrast between target and background pixels. The results show that atmospheric visibility, water vapor content, sensor spectral band, and background pixel land surface temperature (LST) have significant influence on the adjacency effect. For a specific simulation scene, the magnitude of the first definition of the adjacency effect is larger than 0.5 K when atmospheric visibility is lower than 23 km. This magnitude is as much as 2 K under haze weather conditions with atmospheric visibility of 5 km. The results indicate that the adjacency effect should be taken into account in the radiative transfer simulation. The magnitude of the second definition of the adjacency effect is less than 0.3 K, even at atmospheric visibility of 5 km. The results reveal that the accuracy of the TIR RTE for a uniform Lambertian surface is enough for the development of LST retrieval algorithm under relatively haze weather conditions. In situ LST measurements collected at the Hailar, Urad Front Banner, and Wuhai sites in China were used to validate the accuracies of the LST retrieved by the RTE-based single channel algorithm with/without adjacency effect correction. There are nearly no discrepancies between the LST retrieved with/without adjacency effect correction when aerosol optical depth (AOD) is low than 0.3. However, the RMSE of the differences between the retrieved LST and the in situ LST decreases from approximately 1.4 K for the LST retrieved without adjacency effect correction to approximately 0.6 K for the LST retrieved with adjacency effect correction when AOD is high than 0.3. © 2020 Elsevier Inc.
英文关键词	Adjacency effect; High-spatial-resolution; Land surface temperature; Radiative transfer simulation; Thermal infrared
语种	英语
scopus关键词	Atmospheric temperature; Image resolution; Infrared devices; Infrared radiation; Meteorology; Pixels; Radiative transfer; Satellite imagery; Surface measurement; Surface properties; Visibility; High spatial resolution satellite imagery; High spatial resolution thermal infrared imagery; Land surface temperature retrievals; Radiative Transfer Equation(RTE); Radiative transfer simulations; Radiative transfer theory; Single-channel algorithms; Visible and near infrared; Land surface temperature; aerosol; algorithm; correction; haze; land surface; near infrared; radiative transfer; satellite imagery; simulation; surface temperature; water vapor; China; Nei Monggol; Wuhai; Lambertia
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179316
作者单位	Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China; State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing, 100094, China; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China
推荐引用方式 GB/T 7714	Duan S.-B.,Li Z.-L.,Gao C.,et al. Influence of adjacency effect on high-spatial-resolution thermal infrared imagery: Implication for radiative transfer simulation and land surface temperature retrieval[J],2020,245.
APA	Duan S.-B..,Li Z.-L..,Gao C..,Zhao W..,Wu H..,...&Gao M..(2020).Influence of adjacency effect on high-spatial-resolution thermal infrared imagery: Implication for radiative transfer simulation and land surface temperature retrieval.Remote Sensing of Environment,245.
MLA	Duan S.-B.,et al."Influence of adjacency effect on high-spatial-resolution thermal infrared imagery: Implication for radiative transfer simulation and land surface temperature retrieval".Remote Sensing of Environment 245(2020).