Abstract
Field spectrometry is emerging as an important tool in the study of the dynamics of the biosphere and atmosphere. Large amounts of data are now collected from spectrometers mounted on towers, robotic trams and other platforms. These data are crucial for verifying not only the optical data captured by satellites and airborne systems but also to validate the flux measurements that track ecosystem-atmosphere gas exchanges, the “breathing of the planet” critical to regulating our atmosphere and climate. There is a need for readily available systems for the management, processing and analysis of field spectrometry data. In this paper we present SALSA, a software system for the management, processing and analysis of field spectrometry data that also provides a platform for linking optical data to flux measurements. SALSA is demonstrated using real data collected from multiple research sites.
This research was partially funded by NSERC Canada, SAP Research, Singapore and the A*Star SERC project ”Hippocratic Data Stream Cloud for Secure, Privacy-preserving Data Analytics Services” 102 158 0037, NUS Ref:R-702-000-005-305.
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References
Baldocchi, D., et al.: Fluxnet: A new tool to study the temporal and spatial variability of ecosystem- scale carbon dioxide, water vapor, and energy flux densities. Bulletin of the American Meteorological Society 82(1), 2415–2434 (2001)
Gamon, J.A., et al.: A mobile tram system for systematic sampling of ecosystem optical properties. Remote Sensing of Environment 103(3), 246–254 (2006)
Harma, P., et al.: Detection of water quality using simulated satellite data and semi-empirical algorithms in Finland. The Science of The Total Environment 268(1–3), 107–121 (2001)
Hilker, T., et al.: Tracking plant physiological properties from multi- angular tower-based remote sensing. Oecologia 165(4), 865–876 (2011)
Marshall, E.: Fitting plant earth into a user-friendly database. Science 261(13), 846–848 (1993)
MODIS, http://modis.gsfc.nasa.gov/
Rouse, J.W., et al.: Monitoring vegetation systems in the great plains with ERTS. In: 3rd ERTS Symposium, NASA, vol. 1, pp. 309–317 (1973)
Running, S., et al.: A continuous satellite-derived measure of global terrestrial primary production. Bioscience 54, 547–560 (2004)
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Malhotra, B., Gamon, J.A., Bressan, S. (2012). SALSA: A Software System for Data Management and Analytics in Field Spectrometry. In: Ailamaki, A., Bowers, S. (eds) Scientific and Statistical Database Management. SSDBM 2012. Lecture Notes in Computer Science, vol 7338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31235-9_49
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DOI: https://doi.org/10.1007/978-3-642-31235-9_49
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