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Remote Sens. 2015, 7(4), 4499-4526; doi:10.3390/rs70404499

Assessing Field Spectroscopy Metadata Quality

1
Remote Sensing and Photogrammetry Research Centre, RMIT University, Melbourne, VIC 3001, Australia
2
CSIRO Land and Water, Canberra, ACT 2601, Australia
3
Remote Sensing Laboratories, University of Zurich, CH-8057 Zurich, Switzerland
*
Author to whom correspondence should be addressed.
Academic Editors: Eyal Ben-Dor and Prasad S. Thenkabail
Received: 31 January 2015 / Revised: 23 March 2015 / Accepted: 3 April 2015 / Published: 15 April 2015
(This article belongs to the Special Issue Field Spectroscopy and Radiometry)
View Full-Text   |   Download PDF [14386 KB, uploaded 15 April 2015]   |  

Abstract

This paper presents the proposed criteria for measuring the quality and completeness of field spectroscopy metadata in a spectral archive. Definitions for metadata quality and completeness for field spectroscopy datasets are introduced. Unique methods for measuring quality and completeness of metadata to meet the requirements of field spectroscopy datasets are presented. Field spectroscopy metadata quality can be defined in terms of (but is not limited to) logical consistency, lineage, semantic and syntactic error rates, compliance with a quality standard, quality assurance by a recognized authority, and reputational authority of the data owners/data creators. Two spectral libraries are examined as case studies of operationalized metadata policies, and the degree to which they are aligned with the needs of field spectroscopy scientists. The case studies reveal that the metadata in publicly available spectral datasets are underperforming on the quality and completeness measures. This paper is part two in a series examining the issues central to a metadata standard for field spectroscopy datasets. View Full-Text
Keywords: metadata; databases; data quality; field spectroscopy metadata; databases; data quality; field spectroscopy
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Rasaiah, B.A.; Jones, S.D.; Bellman, C.; Malthus, T.J.; Hueni, A. Assessing Field Spectroscopy Metadata Quality. Remote Sens. 2015, 7, 4499-4526.

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