Assessing Field Spectroscopy Metadata Quality

Remote Sensing

Barbara A. Rasaiah³  Simon. D. Jones³  Chris Bellman³  Tim J. Malthus⁴  Andreas Hueni²  Eyal Ben-Dor¹ 

[1] Remote Sensing and Photogrammetry Research Centre, RMIT University, Melbourne, VIC 3001, Australia;;Remote Sensing Laboratories, University of Zurich, CH-8057 Zurich, Switzerland; E-Mail:;Remote Sensing and Photogrammetry Research Centre, RMIT University, Melbourne, VIC 3001, Australia; E-Mails:;CSIRO Land and Water, Canberra, ACT 2601, Australia; E-Mail:

关键词: metadata;    databases;    data quality;    field spectroscopy;   

DOI  :  10.3390/rs70404499

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.