An Improved Cloud Gap-Filling Method for Longwave Infrared Land Surface Temperatures through Introducing Passive Microwave Techniques

doi:10.3390/rs13173522

	An Improved Cloud Gap-Filling Method for Longwave Infrared Land Surface Temperatures through Introducing Passive Microwave Techniques
	Dowling, Thomas P. F.3; Song, Peilin 4; De Jong, Mark C.3; Merbold, Lutz 1,2; Wooster, Martin J.3; Huang, Jingfeng 5; Zhang, Yongqiang 4
刊名	REMOTE SENSING
	2021-09-01
卷号	13 期号:17 页码:26
关键词	cloud gap-filling land surface temperature thermal infrared passive microwave Kenya
DOI	10.3390/rs13173522
通讯作者	Song, Peilin(songpl@igsnrr.ac.cn)
英文摘要	Satellite-derived land surface temperature (LST) data are most commonly observed in the longwave infrared (LWIR) spectral region. However, such data suffer frequent gaps in coverage caused by cloud cover. Filling these 'cloud gaps' usually relies on statistical re-constructions using proximal clear sky LST pixels, whilst this is often a poor surrogate for shadowed LSTs insulated under cloud. Another solution is to rely on passive microwave (PM) LST data that are largely unimpeded by cloud cover impacts, the quality of which, however, is limited by the very coarse spatial resolution typical of PM signals. Here, we combine aspects of these two approaches to fill cloud gaps in the LWIR-derived LST record, using Kenya (East Africa) as our study area. The proposed "cloud gap-filling" approach increases the coverage of daily Aqua MODIS LST data over Kenya from 90%. Evaluations were made against the in situ and SEVIRI-derived LST data respectively, revealing root mean square errors (RMSEs) of 2.6 K and 3.6 K for the proposed method by mid-day, compared with RMSEs of 4.3 K and 6.7 K for the conventional proximal-pixel-based statistical re-construction method. We also find that such accuracy improvements become increasingly apparent when the total cloud cover residence time increases in the morning-to-noon time frame. At mid-night, cloud gap-filling performance is also better for the proposed method, though the RMSE improvement is far smaller (<0.3 K) than in the mid-day period. The results indicate that our proposed two-step cloud gap-filling method can improve upon performances achieved by conventional methods for cloud gap-filling and has the potential to be scaled up to provide data at continental or global scales as it does not rely on locality-specific knowledge or datasets.
资助项目	Science and Technology Facilities Council (UK) Newton Fund (STFC)[ST/N006712/1] ; National Natural Science Foundation of China (NSFC)[42001304] ; National Natural Science Foundation of China (NSFC)[61661136004]
WOS关键词	MODIS LST ; AMSR-E ; BRIGHTNESS TEMPERATURE ; VEGETATION INDEX ; DATA SET ; RETRIEVAL ; WEATHER ; METEOROLOGY ; SUPPORT ; MODEL
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:000694491500001
资助机构	Science and Technology Facilities Council (UK) Newton Fund (STFC) ; National Natural Science Foundation of China (NSFC)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/165362]
专题	中国科学院地理科学与资源研究所
通讯作者	Song, Peilin
作者单位	1.Int Livestock Res Inst ILRI, Mazingira Ctr, POB 30709, Nairobi, Kenya 2.Agroscope, Res Div Agroecol & Environm, Reckenholzstr 191, CH-8046 Zurich, Switzerland 3.Kings Coll London, Natl Ctr Earth Observat NCEO, Dept Geog, London WC2B 4BG, England 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 5.Zhejiang Univ, Inst Appl Remote Sensing & Informat Technol, Hangzhou 310058, Peoples R China
推荐引用方式 GB/T 7714	Dowling, Thomas P. F.,Song, Peilin,De Jong, Mark C.,et al. An Improved Cloud Gap-Filling Method for Longwave Infrared Land Surface Temperatures through Introducing Passive Microwave Techniques[J]. REMOTE SENSING,2021,13(17):26.
APA	Dowling, Thomas P. F..,Song, Peilin.,De Jong, Mark C..,Merbold, Lutz.,Wooster, Martin J..,...&Zhang, Yongqiang.(2021).An Improved Cloud Gap-Filling Method for Longwave Infrared Land Surface Temperatures through Introducing Passive Microwave Techniques.REMOTE SENSING,13(17),26.
MLA	Dowling, Thomas P. F.,et al."An Improved Cloud Gap-Filling Method for Longwave Infrared Land Surface Temperatures through Introducing Passive Microwave Techniques".REMOTE SENSING 13.17(2021):26.