The spectral database SPECCHIO for improved long-term usability and data sharing

Abstract

The spectral database SPECCHIO for improved long-term usability and data sharing AbstractThe organised storage of spectral data described by metadata is important for long-term use and data sharing with other scientists. Metadata describing the sampling environment, geometry and measurement process serves to evaluate the suitability of existing data sets for new applications. There is a need for spectral databases that serve as repositories for spectral field campaign and reference signatures, including appropriate metadata parameters. Such systems must be (a) highly automated in order to encourage users entering their spectral data collections and (b) provide flexible data retrieval mechanisms based on subspace projections in metadata spaces. The recently redesigned SPECCHIO system stores spectral and metadata in a relational database based on a non-redundant data model and offers efficient data import, automated metadata generation, editing and retrieval via a Java application. RSL is disseminating the database and software to the remote sensing community in order to foster the use and further development of spectral databases. The organised storage of spectral data described by according metadata is important for long term use and data sharing with other scientists. Metadata describing the sampling environment, geometry and measurement process serves to evaluate the suitability of existing data sets for new applications. There is a need for spectral databases that serve as repositories for spectral field campaign and reference signatures including appropriate metadata parameters. Such systems must be (a) highly automated in order to encourage users entering their spectral data collections and (b) provide flexible data retrieval mechanisms based on subspace projections in metadata spaces. The recently redesigned SPECCHIO system stores spectral and metadata in a relational database based on a nonredundant data model and offers efficient data import, automated metadata generation, editing and retrieval via a Java application. RSL is disseminating the database and software to the remote sensing community in order to foster the use and further development of spectral databases.

A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover

“…This development is supported by another trend in remote sensing, i.e., the gathering of spectral information from all possible sources into huge online libraries (e.g., USGS spectral library [50], SPECCHIO database [51]). As new methods are arising to automatically complete these libraries by cross-checking them with pure spectral information contained in imagery (e.g., LUISA [52]), the availability of endmembers for unmixing purposes is expected to rise exponentially.…”

Critical Metadata for Spectroscopy Field Campaigns

“…Popular avenues for storage include excel files, text documents, and sometimes the metadata is automatically generated by the instrument itself, such as the binary files containing instrument make and model, detector, bandwidth, and spectral range information. Recent developments in relational spectral databases include the publicly accessible DLR Spectral Archive [14] and SPECCHIO [15], as well as others designed in-house for organizations engaged in field spectroscopy research; these have allowed a more structured storage for spectral measurements and their associated metadata [12,16]. They support the storage of a subset of metadata elements intended for a specific range of campaigns (such as vegetation or mineralogy) according to de facto standards.…”

Spectral properties of weathered and fresh rock surfaces in the Xiemisitai metallogenic belt, NW Xinjiang, China

“…Spectroscopic in situ and laboratory measurements are important components of any multispectral or hyperspectral remote sensing analysis [4,5]. There are several important spectral library projects that have been established recently in this area of research such as the U.S. Geological Survey (USGS) spectral library [6], the Arizona State University (ASU), Thermal Emission Spectral Library [7], the ASTER spectral library [8], Specchio [4], the DLR spectral archive [9], and the globally distributed soil spectral library ICRAF-ISRIC (World Agroforestry CentreInternational Soil Reference and Information Centre) [10].…”

“…There are several important spectral library projects that have been established recently in this area of research such as the U.S. Geological Survey (USGS) spectral library [6], the Arizona State University (ASU), Thermal Emission Spectral Library [7], the ASTER spectral library [8], Specchio [4], the DLR spectral archive [9], and the globally distributed soil spectral library ICRAF-ISRIC (World Agroforestry CentreInternational Soil Reference and Information Centre) [10]. These spectral libraries provide a large amount of standard spectral data and remote sensing image extraction of spectral endmembers.…”