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Validation practices for satellite-based Earth observation data across communities


Abstract

Assessing the inherent uncertainties in satellite data products is a challenging task. Different technical approaches have been developed in the Earth Observation (EO) communities to address the validation problem which results in a large variety of methods as well as terminology. This paper reviews state-of-the-art methods of satellite validation and documents their similarities and differences. First, the overall validation objectives and terminologies are specified, followed by a generic mathematical formulation of the validation problem. Metrics currently used as well as more advanced EO validation approaches are introduced thereafter. An outlook on the applicability and requirements of current EO validation approaches and targets is given.

Abstract

Assessing the inherent uncertainties in satellite data products is a challenging task. Different technical approaches have been developed in the Earth Observation (EO) communities to address the validation problem which results in a large variety of methods as well as terminology. This paper reviews state-of-the-art methods of satellite validation and documents their similarities and differences. First, the overall validation objectives and terminologies are specified, followed by a generic mathematical formulation of the validation problem. Metrics currently used as well as more advanced EO validation approaches are introduced thereafter. An outlook on the applicability and requirements of current EO validation approaches and targets is given.

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10 citations in Web of Science®
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9 citations in Microsoft Academic
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Language:English
Date:2017
Deposited On:15 Jan 2018 19:02
Last Modified:19 Aug 2018 12:42
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:8755-1209
OA Status:Green
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1002/2017RG000562
Project Information:
  • : FunderFP7
  • : Grant ID607405
  • : Project TitleQA4ECV - Quality Assurance for Essential Climate Variables
  • : FunderH2020
  • : Grant ID640276
  • : Project TitleGAIA-CLIM - Gap Analysis for Integrated Atmospheric ECV CLImate Monitoring
  • : FunderFP7
  • : Grant ID603608
  • : Project TitleEARTH2OBSERVE - Global Earth Observation for integrated water resource assessment

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