气候变化领域集成服务门户(CCPortal): Assessing the influence of different validation protocols on Ocean Colour match-up analyses

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DOI	10.1016/j.rse.2021.112415
	Assessing the influence of different validation protocols on Ocean Colour match-up analyses
	Concha J.A.; Bracaglia M.; Brando V.E.
发表日期	2021
ISSN	00344257
卷号	259
英文摘要	Multiple approaches have been used by the Ocean Colour community for validating satellite-derived products using in situ data, with most of them derived from mainly two approaches, one suggested by Bailey and Werdell (2006) (BW06) and one suggested by Zibordi et al. (2009a) (Z09), each with a different set of quality checking and spatiotemporal collocation criteria. The question remains what sort of information is added or missed when choosing one over the other. In this work, the differences among validation approaches were determined by using a common dataset of in situ and satellite data. The match-up exercise was separated into two groups of datasets based on the spatial resolution of the sensors to be validated. Sentinel-3A/OLCI data were selected as a representation of medium spatial resolution sensors, and two validation approaches were selected to this match-up dataset. The high spatial resolution sensors were represented by Sentinel-2A/MSI data, and three validation approaches were tested. Data from the AERONET-OC network were chosen as the common in situ dataset. For Sentinel-3A/OLCI, the number of match-ups varies depending on the validation approach used. Bailey and Werdell (2006) produces 20% more match-ups for Sentinel-3A/OLCI due to its more relaxed filtering criteria compared to the criteria applied by Zibordi et al. (2009a). The validation metrics vary between different validation methods giving a different impression of accuracy of the satellite products. Also, the satellite data selected by BW06 have a statistical distribution with a higher median and standard deviation when compared to Z09. Similar findings are also confirmed for the match-up analysis conducted for Sentinel-2A/MSI. Therefore, although a common reference dataset was used, the validation statistical results were influenced by the validation approach selected. This does not suggest that one validation protocol is better than the other, but it implies that validation statistics reported in different studies may not always be directly comparable. Additionally, it was determined that BW06 could be a better fit when trying to obtain a sufficient number of match-ups for calibration purposes in the shortest time. © 2021 The Authors
英文关键词	Match-ups; Ocean colour; Satellite data; Validation protocols
语种	英语
scopus关键词	Image resolution; Oceanography; Satellites; Derived products; In-situ data; Match-up analysis; Match-ups; Ocean color; Satellite data; Situ and satellite datum; Spatial resolution; Validation approach; Validation protocols; Color; calibration; data set; model validation; ocean color; satellite data; Sentinel; spatial resolution; statistical distribution
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/178857
作者单位	Istituto di Scienze Marine, Consiglio Nazionale delle Ricerche, Via Fosso del Cavaliere 100, Rome, 00133, Italy
推荐引用方式 GB/T 7714	Concha J.A.,Bracaglia M.,Brando V.E.. Assessing the influence of different validation protocols on Ocean Colour match-up analyses[J],2021,259.
APA	Concha J.A.,Bracaglia M.,&Brando V.E..(2021).Assessing the influence of different validation protocols on Ocean Colour match-up analyses.Remote Sensing of Environment,259.
MLA	Concha J.A.,et al."Assessing the influence of different validation protocols on Ocean Colour match-up analyses".Remote Sensing of Environment 259(2021).