Next Article in Journal
On the Use of Global Flood Forecasts and Satellite-Derived Inundation Maps for Flood Monitoring in Data-Sparse Regions
Next Article in Special Issue
Mapping the Spectral Soil Quality Index (SSQI) Using Airborne Imaging Spectroscopy
Previous Article in Journal
Automatic Detection and Segmentation of Columns in As-Built Buildings from Point Clouds
Previous Article in Special Issue
Reducing the Influence of Soil Moisture on the Estimation of Clay from Hyperspectral Data: A Case Study Using Simulated PRISMA Data
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2015, 7(11), 15668-15701; doi:10.3390/rs71115668

Towards an Interoperable Field Spectroscopy Metadata Standard with Extended Support for Marine Specific Applications

Remote Sensing and Photogrammetry Research Centre, RMIT University, Melbourne 3001, Australia
CSIRO Land and Water, Canberra 2601, Australia
Remote Sensing Research Centre, School of Geography, Planning and Environmental Management, University of Queensland, Brisbane 4072, Australia
Author to whom correspondence should be addressed.
Academic Editors: Eyal Ben-Dor, Xiaofeng Li and Prasad S. Thenkabail
Received: 30 September 2015 / Accepted: 13 November 2015 / Published: 20 November 2015
(This article belongs to the Special Issue Field Spectroscopy and Radiometry)
View Full-Text   |   Download PDF [1365 KB, uploaded 23 November 2015]   |  


This paper presents an approach to developing robust metadata standards for specific applications that serves to ensure a high level of reliability and interoperability for a spectroscopy dataset. The challenges of designing a metadata standard that meets the unique requirements of specific user communities are examined, including in situ measurement of reflectance underwater, using coral as a case in point. Metadata schema mappings from seven existing metadata standards demonstrate that they consistently fail to meet the needs of field spectroscopy scientists for general and specific applications (μ = 22%, σ = 32% conformance with the core metadata requirements and μ = 19%, σ = 18% for the special case of a benthic (e.g., coral) reflectance metadataset). Issues such as field measurement methods, instrument calibration, and data representativeness for marine field spectroscopy campaigns are investigated within the context of submerged benthic measurements. The implication of semantics and syntax for a robust and flexible metadata standard are also considered. A hybrid standard that serves as a “best of breed” incorporating useful modules and parameters within the standards is proposed. This paper is Part 3 in a series of papers in this journal, examining the issues central to a metadata standard for field spectroscopy datasets. The results presented in this paper are an important step towards field spectroscopy metadata standards that address the specific needs of field spectroscopy data stakeholders while facilitating dataset documentation, quality assurance, discoverability and data exchange within large-scale information sharing platforms. View Full-Text
Keywords: metadata; databases; remote sensing; databases; in situ observations; field spectroscopy; marine metadata; databases; remote sensing; databases; in situ observations; field spectroscopy; marine

Figure 1

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Rasaiah, B.A.; Bellman, C.; Jones, S.D.; Malthus, T.J.; Roelfsema, C. Towards an Interoperable Field Spectroscopy Metadata Standard with Extended Support for Marine Specific Applications. Remote Sens. 2015, 7, 15668-15701.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top