Abstract
Field spectroscopic metadata is a central component in the quality assurance, reliability, and discoverability of hyperspectral data and the products derived from it. Cataloguing, mining, and interoperability of these datasets rely upon the robustness of metadata protocols for field spectroscopy, and on the software architecture to support the exchange of these datasets. Currently no standard for in situ spectroscopy data or metadata protocols exist. This inhibits the effective sharing of growing volumes of in situ spectroscopy datasets, to exploit the benefits of integrating with the evolving range of data sharing platforms. A core metadataset for field spectroscopy was introduced by Rasaiah et al., (2011-2015) with extended support for specific applications. This paper presents a prototype model for an OGC and ISO compliant platform-independent metadata discovery service aligned to the specific requirements of field spectroscopy. In this study, a proof-of-concept metadata catalogue has been described and deployed in a cloud-based architecture as a demonstration of an operationalized field spectroscopy metadata standard and web-based discovery service.
Highlights
1.1 BackgroundHyperspectral datasets are dependent upon their associated metadata for ensuring their quality, reliability, and discoverability
The need for a standardized methodology for collecting, storing, sharing – and assuring the quality of field spectroscopy metadata has increased with the emergence of data sharing initiatives such as NASA’s EOSDIS (Earth Science Data and Information System), the LTER (Long Term Ecological Research) network, the Australian Terrestrial Ecosystem Research Network (TERN), SpecNet (Gamon, 2006) and several smaller ad hoc spectral libraries and databases created by remote sensing communities internationally
As key stakeholders of the data, field spectroscopy scientists have a vested interest in the development of a metadata standard and metadata discovery services most suitable to their needs as both metadata data creators and users of this data
Summary
Hyperspectral datasets are dependent upon their associated metadata for ensuring their quality, reliability, and discoverability. There remains no standardized methodology for documentation of field spectroscopy data or metadata (Rasaiah et al, 2011-2015) or for the exchange and discoverability of such datasets. The need for a standardized methodology for collecting, storing, sharing – and assuring the quality of field spectroscopy metadata has increased with the emergence of data sharing initiatives such as NASA’s EOSDIS (Earth Science Data and Information System), the LTER (Long Term Ecological Research) network, the Australian Terrestrial Ecosystem Research Network (TERN), SpecNet (Gamon, 2006) and several smaller ad hoc spectral libraries and databases created by remote sensing communities internationally. The absence of a data exchange and metadata standard inhibits discoverability of field spectroscopy datasets. This applies to data and metadata generated for discipline-agnostic information sharing systems and for discipline-specific databases (Ben-Dor et al, 2015). In the context of a supporting hardware and software architecture, effective dissemination and exchange of in situ hyperspectral datasets across data sharing platforms is achievable when 1) metadata is comprehensive and high quality and 2) a metadata discovery service exists to expose datasets to users
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