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

Authors:

M. Kneubühler,

K. I. IttenAuthors Info & Claims

Computers & Geosciences, Volume 35, Issue 3

Pages 557 - 565

https://doi.org/10.1016/j.cageo.2008.03.015

Published: 01 March 2009 Publication History

Abstract

The 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.

References

[1]

Technical Guide. Analytical Spectral Devices Inc., Boulder, CO, USA.

[2]

ArcGIS, 2006. Version 9.2, ESRI, Redlands, CA, USA.

[3]

SPECCHIO: a spectrum database for remote sensing applications. Computers & Geosciences. v29. 27-38.

[4]

Di, L., 2003. The development of remote-sensing related standards at FGDC, OGC, and ISO TC 211. In: Proceedings of the Geoscience and Remote Sensing Symposium, Toulouse. vol. 1. France, pp. 643-647.

[5]

ENVI, 2005. Version 4.2, Research Systems Inc., Boulder, CO, USA.

[6]

European Commission DG XI, 1993. CORINE land cover. European Commission Directorate-General Environment, Nuclear Safety and Civil Protection, Office for Official Publications of the European Communities, Luxembourg, p. 136.

[7]

Spectroradiometer data structuring, pre-processing and analysis-An IT based approach. Journal of Spatial Science. v51 i2. 93-102.

[8]

Hüni, A., Nieke, J., Schopfer, J., Kneubühler, M., Itten, K., 2007a. Second generation of RSL's spectrum database "SPECCHIO". In: Schaepman, M.E., Liang, S., Groot, N.E., Kneubühler, M. (Eds.), Proceedings of the Tenth International Symposium on Physical Measurements and Spectral Signatures in Remote Sensing. Davos, Switzerland, XXXVI, Part 7/C50, pp. 505-510.

[9]

Hüni, A., Nieke, J., Schopfer, J., Kneubühler, M., Itten, K., 2007b. Metadata of spectral data collections. In: Proceedings of the Fifth EARSeL Workshop on Imaging Spectroscopy, Bruges, Belgium, p. 14.

[10]

International Organization for Standardization, 1996. Information technology-syntactic metalanguage-extended BNF (14977). In: International Organization for Standardization Copyright Office, Geneva, Switzerland, p. 24.

[11]

JavaTM 2 Platform Standard Edition, 2006. Version 5.0, Sun Microsystems Inc., Santa Clara, CA, USA.

[12]

Landgrebe, D., 1997. On Information Extraction Principles for Hyperspectral Data, Purdue University, West Lafayette, IN, USA, p. 34.

[13]

A large-scale, long-term view on collecting and sharing landscape data. In: Kienast, F., Wildi, O., Gosh, S. (Eds.), A Changing World-Challenges for Landscape Research, Springer, Netherlands. pp. 93-111.

[14]

Database Management. The Benjamin/Cummings Publishing Co., Redwood City, USA.

[15]

Metadata. In: Michener, W.K., Brunt, J.W. (Eds.), Ecological Data: Design, Management and Processing, Blackwell Science, Oxford, UK. pp. 92-116.

[16]

Field spectroscopy. In: Atkinson, P. (Ed.), Geoinformatics, Encyclopaedia of Life Support Systems (EOLSS), EOLSS Publishers, Oxford, UK. pp. 28

[17]

Milton, E.J., Fox, N.P., Schaepman, M., 2006. Progress in field spectroscopy. In: Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS, Denver, CO, USA, pp. 1966-1968.

[18]

MySQL Reference Manual, 2007. Version 5.0, MySQL AB, Cupertino, CA, USA, p. 1574.

[19]

Pfitzner, K., Bartolo, R.E., Ryan, B., Bollhöfer, A., 2005. Issues to consider when designing a spectral library database. In: Proceedings of the SSC 2005 Spatial Intelligence, Innovation and Praxis: The national biennial Conference of the Spatial Sciences Institute. Melbourne, Australia, pp. 416-425.

[20]

A standard design for collecting vegetation reference spectra: Implementation and implications for data sharing. Journal of Spatial Science. v51 i2. 79-92.

[21]

How unique are spectral signatures?. Remote Sensing of Environment. v49. 181-186.

[22]

Interpretation of hyperspectral image data. In: Remote Sensing Digital Image Analysis, Springer, New York, USA. pp. 359-387.

[23]

Schlaepfer, D., Nieke, J., 2007. 23-25 April. Optimizing the workflow for APEX Level2/3 processing. In: Proceedings of the Fifth EARSeL Workshop on Imaging Spectroscopy. Bruges, Belgium, p. 11.

[24]

SPECMIN: Reference Mineral Spectral Library And Mineral Spectral Identification System, 2005. Version 3.1, Spectral International Inc., Arvada, CO, USA.

[25]

GER 3700 User Manual. Spectra Vista Co., New York, USA.

[26]

Imaging Spectrometry. Kluwer Academic Publishers, Netherlands.

[27]

Structured metadata spaces. Journal of Internet Cataloging. v3 i2/3. 263-277.

[28]

MFR-7 Rotating Shadowband Radiometer. Yankee Environmental Systems Inc., Turner Falls, MA, USA.

[29]

Zhang, X., Liu, S., Wang, J., Mao, D., Yang, S., Chen, W., 2004. Studies on methods for quality assessment of crop spectral data. In: Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS 04. Anchorage, Alaska, pp. 3794-3797.

Cited By

Frazier JWeinstein EIzydorczak IWu YCuadros NSur DMorrison-Smith S(2025)DriveGroups: Using Group Perspective for Usable Data Sharing in Research CollaborationsProceedings of the ACM on Human-Computer Interaction10.1145/37011929:1(1-28)Online publication date: 10-Jan-2025
https://dl.acm.org/doi/10.1145/3701192
Di Franco SSalzano RBoldrini ESalvatori R(2022)Increasing the interoperability of snow/ice hyperspectral observationsComputers & Geosciences10.1016/j.cageo.2022.105076162:COnline publication date: 1-May-2022
https://dl.acm.org/doi/10.1016/j.cageo.2022.105076
Karami MRangzan KSaberi A(2019)Using GIS servers and interactive maps in spectral data sharing and administrationComputers & Geosciences10.1016/j.cageo.2013.06.00760(23-33)Online publication date: 3-Jan-2019
https://dl.acm.org/doi/10.1016/j.cageo.2013.06.007

Index Terms

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

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Published In

cover image Computers & Geosciences

Computers & Geosciences Volume 35, Issue 3

March, 2009

268 pages

ISSN:0098-3004

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2008.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 March 2009

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Cited By

Frazier JWeinstein EIzydorczak IWu YCuadros NSur DMorrison-Smith S(2025)DriveGroups: Using Group Perspective for Usable Data Sharing in Research CollaborationsProceedings of the ACM on Human-Computer Interaction10.1145/37011929:1(1-28)Online publication date: 10-Jan-2025
https://dl.acm.org/doi/10.1145/3701192
Di Franco SSalzano RBoldrini ESalvatori R(2022)Increasing the interoperability of snow/ice hyperspectral observationsComputers & Geosciences10.1016/j.cageo.2022.105076162:COnline publication date: 1-May-2022
https://dl.acm.org/doi/10.1016/j.cageo.2022.105076
Karami MRangzan KSaberi A(2019)Using GIS servers and interactive maps in spectral data sharing and administrationComputers & Geosciences10.1016/j.cageo.2013.06.00760(23-33)Online publication date: 3-Jan-2019
https://dl.acm.org/doi/10.1016/j.cageo.2013.06.007

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