RockSL: an integrated rock spectral library for better global shared services

• Published in: Big earth data Vol. 7; no. 1; pp. 191 - 211
• Main Authors: Xie, B.S., Zhou, S.Y., Wu, L.X., Mao, W.F., Wang, W.
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 02-01-2023; Taylor & Francis Group
• Subjects: characteristic datasets; data interoperability; geological discrimination; integrated library; Rocks and minerals
• ISSN: 2096-4471; 2574-5417
• DOI: 10.1080/20964471.2021.2017111

Spectral data of different rocks and minerals usually show different waveforms and absorption characteristics in visible and infrared wavelengths, which allow identification of mineral species and composition. However, massive spectra of rock/mineral on earth surface were scattered across a variety of spectral libraries worldwide, exhibiting inconsistent data structures and measurement conditions. To advance the data interoperability and the data usability, we collected data and information from six shared libraries with different format and measured field specimen in laboratory to establish an integrated rock spectral library (RockSL). Both the data quality of spectral curves and the integrity of descriptive metadata are considered in the integrated RockSL to be published in GitHub open-source repository. RockSL contains not only the big spectral dataset of rocks and minerals for data service (i.e. data sharing and retrieval) and geological discrimination, but also the characteristics dataset of key parameters/metadata (e.g. particle size, mineral composition and full-band signature, etc.) for exploration of data mining and knowledge discovery. We hope that more researchers will join to improve the availability and practical value of RockSL for remote sensing community. This article introduces the database structure and data processing workflow, and demonstrates a matching service and several examples of characteristic datasets of RockSL.