A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters

doi:10.1016/j.rse.2021.112612

	A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters
	Hong, Falu 1; Zhan, Wenfeng 1,2; Goettsche, Frank-M.3; Lai, Jiameng 1; Liu, Zihan 1; Hu, Leiqiu 4; Fu, Peng 5; Huang, Fan 1; Li, Jiufeng 1; Li, Hua 6
刊名	REMOTE SENSING OF ENVIRONMENT
	2021-10-01
卷号	264 页码:18
关键词	Land surface temperature Thermal remote sensing Sampling bias Annual temperature cycle Diurnal temperature cycle Polar orbiters MODIS
ISSN号	0034-4257
DOI	10.1016/j.rse.2021.112612
通讯作者	Zhan, Wenfeng(zhanwenfeng@nju.edu.cn)
英文摘要	Remotely sensed and accurate daily mean land surface temperature (T-dm) is valuable for various applications such as air temperature estimation and climate change monitoring. However, most traditional methods employed by the remote sensing community estimate T-dm by averaging the - usually few - observed cloud-free land surface temperatures (LSTs). Such estimates can have large sampling bias, especially for tandem polar orbiters, due to their sparse sampling of diurnal LST dynamics and the unavailability of under-cloud LSTs. To estimate accurate T-dm based on thermal observations from tandem polar orbiters, here we propose a simple yet robust framework that combines the annual temperature cycle (ATC) and the diurnal temperature cycle (DTC) models (termed the ADTC-based framework). The ATC model is used to reconstruct daily instantaneous undercloud LSTs, based on which the DTC model is employed to establish diurnally continuous LST dynamics for estimating T-dm. The proposed framework is validated with geostationary LST observations and in-situ thermal measurements under both cloud-free and overcast conditions. The validations show that, under cloud-free conditions, the ADTC-based framework is able to reduce the positive sampling bias obtained with simple averaging (> 2.0 K) and yields a mean absolute error (MAE) of approximately 0.5 K. Under overcast conditions, the ADTC-based framework yields MAEs of 1.0 K and 0.5 K at the daily and monthly scales, respectively. Furthermore, a contribution analysis indicates that the ATC model reduces the MAE from around 4.2 K to 2.0 K while the DTC model reduces the MAE from around 2.0 K to 1.0 K. Based on our validation results and tests performed with MODIS data, the presented simple yet robust ADTC-based framework is able to accurately estimate large-scale spatiotemporally continuous T-dm from thermal observations of tandem polar orbiters. Therefore, the ADTC-based framework is a potentially valuable tool for many related applications.
资助项目	National Key Research and Development Programs for Global Change and Adaptation[2016YFA0600201] ; Jiangsu Provincial Natural Science Foundation[BK20180009] ; National Natural Science Foundation of China[41671420] ; Fundamental Research Funds for the Central Universities[090414380024] ; National Youth Talent Support Program of China
WOS关键词	IN-SITU ; BRIGHTNESS TEMPERATURE ; DIURNAL CYCLES ; MODIS ; LST ; VALIDATION ; RESOLUTION ; RADIATION ; PRODUCTS ; WATER
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000688410600001
资助机构	National Key Research and Development Programs for Global Change and Adaptation ; Jiangsu Provincial Natural Science Foundation ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; National Youth Talent Support Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/165024]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhan, Wenfeng
作者单位	1.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 3.Karlsruhe Inst Technol KIT, Hermann von Helmholtz Pl 1, D-76344 Eggenstein Leopoldshafen, Germany 4.Univ Alabama, Dept Atmospher & Earth Sci, Huntsville, AL 35805 USA 5.Univ Illinois, Dept Plant Biol, Carl R Woese Inst Genom Biol, Champaign, IL 61820 USA 6.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Hong, Falu,Zhan, Wenfeng,Goettsche, Frank-M.,et al. A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters[J]. REMOTE SENSING OF ENVIRONMENT,2021,264:18.
APA	Hong, Falu.,Zhan, Wenfeng.,Goettsche, Frank-M..,Lai, Jiameng.,Liu, Zihan.,...&Wu, Hua.(2021).A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters.REMOTE SENSING OF ENVIRONMENT,264,18.
MLA	Hong, Falu,et al."A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters".REMOTE SENSING OF ENVIRONMENT 264(2021):18.