Recent surface reflectance measurement campaigns with emphasis on best practices, SI traceability and uncertainty estimation

Dennis Helder, Kurt Thome, Dave Aaron, Larry Leigh, Jeff Czapla-Myers, Nathan Leisso, Stuart Biggar, Nik Anderson

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

A significant problem facing the optical satellite calibration community is limited knowledge of the uncertainties associated with fundamental measurements, such as surface reflectance, used to derive satellite radiometric calibration estimates. In addition, it is difficult to compare the capabilities of calibration teams around the globe, which leads to differences in the estimated calibration of optical satellite sensors. This paper reports on two recent field campaigns that were designed to isolate common uncertainties within and across calibration groups, particularly with respect to ground-based surface reflectance measurements. Initial results from these efforts suggest the uncertainties can be as low as 1.5% to 2.5%. In addition, methods for improving the cross-comparison of calibration teams are suggested that can potentially reduce the differences in the calibration estimates of optical satellite sensors.

Original languageEnglish (US)
Pages (from-to)S21-S28
JournalMetrologia
Volume49
Issue number2
DOIs
StatePublished - Apr 2012

ASJC Scopus subject areas

  • General Engineering

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