Australian National Spectral Database ===================================== Australian National Spectral Database -------------------------------------- **Authored on**: 2021-06 **Updated on**: 2023-03 **License**: CC BY Attribution 4.0 International License View the [original metadata page](https://cmi.ga.gov.au/data-products/dea/643/australian-national-spectral-database) for the most up-to-date information on this product. Abstract -------- The Australian National Spectral Database (NSD) supports best practice management of reference spectral data collections by providing an extensive suite of standardised metadata for international use. The database has been designed to be consistent with other nationally significant datasets and is a curated repository that will evolve to meet the needs of the Earth observation community. The NSD is accessed via the application Specchio, initially developed by the University of Zurich, and customised by the University of Wollongong. It represents the collective efforts of many individuals from multiple organisations and is hosted by Geoscience Australia as the custodian of nationally significant geoscientific data. See Hueni et al. (2020) below for further background information. What this product offers ------------------------ The National Spectral Database (NSD) houses spectral data collected by Australian remote sensing scientists. It includes spectra covering targets as diverse as soils, vegetation, waterbodies, coral, macro to micro algae, seagrasses and land surfaces. The database also includes field-based data routinely collected by Geoscience Australia’s Digital Earth Australia program for calibration and validation measurements, as well as spectral data previously hosted by the University of Wollongong. Additionally, the NSD features the Aquatic Substrate Library, a dataset covering aquatic spectra collected from 1994 to the present, consisting primarily of end-member and substratum measurements from around Australia. Applications ------------ - Comparison of reflectance measurements from satellite observations e.g. by Landsat 8 and Sentinel 2, to near-coincident ground reference measurements, to verify fitness for purpose of satellite derived data products. - Development and testing of models describing the relationships between directional spectral reflectance of target surfaces and their biophysical attributes. - Spectral feature matching for mineralogy applications. - Application of spectral data to plant physiology studies, geological sciences, soil sciences, limnology, oceanography and atmospheric chemistry, and other research. Publications ------------ Hueni, A., Chisholm, L.A., Ong, C., Malthus, T.J., Wyatt, M., Trim, S.A., Schaepman, M.E., Thankappan, M. 2021. The SPECCHIO Spectral Information System, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 5789-5799, 2020, doi: 10.1109/JSTARS.2020.3025117. Byrne, G., Walsh, A., Thankappan, M., Broomhall, M., Hay, E. 2021. DEA Analysis Ready Data Phase 1 Validation Project: Data Summary. Geoscience Australia, Canberra. https://doi.org/10.26186/145101 Malthus, T.J., Ong, C., Lau, I., Fearns, P., Byrne G., Thankappan, M., Chisholm, L., Suarez, L., Clarke, K., Scarth, P., Phinn, S. (2018) A community approach to the standardised validation of surface reflectance data. A technical handbook to support the collection of field reflectance data. Release version 1.0. CSIRO, Australia. ISBN: 978-1-4863-0991-7 References ---------- Byrne, G., Walsh, A., Thankappan, M., Broomhall, M., Hay, E. 2021. DEA Analysis Ready Data Phase 1 Validation Project: Data Summary. Geoscience Australia, Canberra. [https://doi.org/10.26186/145101](https://doi.org/10.26186/145101) Hueni, A., Chisholm, L.A., Ong, C., Malthus, T.J., Wyatt, M., Trim, S.A., Schaepman, M.E., Thankappan, M. 2021. The SPECCHIO Spectral Information System, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 5789-5799, 2020, doi: 10.1109/JSTARS.2020.3025117. Aasen, H.; Hueni, A.; Machwitz, M.; Malenovský, Z.; Mallick, K.; Paul-Limoges, E.; Schlerf, M.; Schneider, F.D.; Suárez, L.; Van Wittenberghe, S.; Wieneke, S.; Wolf, S. Ecosystem specific Metadata. 2017, 10.13140/RG.2.2.14986.77761 Held, A., Phinn, S., Soto-Berelov, M., & Jones, S. (Eds.). AusCover Good Practice Guidelines: A technical handbook supporting calibration and validation activities of remotely sensed data products. 2015. Version 1.1. TERN AusCover, ISBN 978-0-646-94137-0 Rasaiah, B.A.; Jones, S.D.; Bellman, C.; Malthus, T.J.; Hueni, A. Assessing Field Spectroscopy Metadata Quality. *Remote Sens.* 2015, *7*, 4499-4526 Milton, E.; Schaepman, M.E.; Anderson, K.; Kneubuehler, M.; Fox, N. Progress in field spectroscopy. *Remote Sensing of Environment* 113 Suppl. 2009, 1. 113. 10.1016/j.rse.2007.08.001 Contacts -------- For questions or more information about this product, email [DEA Support](mailto:dea@ga.gov.au?subject=Data%20Products%20support%20for%20Australian%20National%20Spectral%20Database&cc=earthobservation@ga.gov.au,earthobservation@ga.gov.au).