Enabling Quality Control of Sensor Web Observations

Anusuriya Devaraju, Ralf Kunkel, Juergen Sorg, Heye Bogena, Harry Vereecken

2014

Abstract

The rapid development of sensing technologies had led to the creation of large volumes of environmental observation data. Data quality control information informs users how it was gathered, processed, examined. Sensor Web is a web-centric framework that involves observations from various providers. It is essential to capture quality control information within the framework to ensure that observation data are of known and documented quality. In this paper, we present a quality control framework covering different environmental observation data, and show how it is implemented in the TERENO data infrastructure. The infrastructure is modeled after the OGC’s Sensor Web Enablement (SWE) standards.

References

  1. Aquatic Informatics (2012). Global hydrological monitoring industry trends. Industry report, Aquatic In formatics Inc.
  2. Bartha, M., Bleier, T., Dih, P., Havlik, D., Hilbring, D., Hugentobler, M., Iosifescu Enescu, I., Kunz, S., Puhl, S., Scholl, M., Jacques, P., Schlobinski, S., Simonis, I., Stumpp, J., Uslnder, T., and Watson, K. (2009). Specification of the sensor service architecture version 3 (document version 3.1). OGC Discussion Paper (Project Deliverable D2.3.4) OGC 09-132r1, SANY Consortium.
  3. Bastin, L., Cornford, D., Jones, R., Heuvelink, G. B., Pebesma, E., Stasch, C., Nativi, S., Mazzetti, P., and Williams, M. (2013). Managing uncertainty in integrated environmental modelling: The uncertweb framework. Environmental Modelling & Software, 39(0):116 - 134. Thematic Issue on the Future of Integrated Modeling Science and Technology.
  4. Bogena, H., Kunkel, R., Ptz, T., Vereecken, H., Krueger, E., Zacharias, S., Dietrich, P., Wollschlaeger, U., Kunstmann, H., Papen, H., Schmid, H., Munch, J., Priesack, E., Schwank, M., Bens, O., Brauer, A., Borg, E., and Hajnsek, I. (2012). Tereno - long-term monitoring network for terrestrial environmental research. Hydrologie und Wasserbewirtschaftung: HyWa, 56:138 - 143. Record converted from VDB: 12.11.2012.
  5. Botts, M. E., Percivall, G., Reed, C., and Davidson, J. (2008). OGC Sensor Web Enablement: Overview and High Level Architecture. In Second International Conference on GeoSensor Networks (GSN 2006), Revised Selected and Invited Papers, Boston, MA, USA. Springer.
  6. Brauner, J., Hutka, L., Jirka, S., Jrrens, E. H., Kadner, D., Mendt, J., Angel, P., Pech, K., Wiemann, S., Schulte, J., Tellez-Arenas, A., Perrier, P., and Lpez, J. (2013b). Eo2heaven d5.16final generic components documentation. Technical report, EO2HEAVEN Consortium.
  7. Broering, A., Echterhoff, J., Jirka, S., Simonis, I., Everding, T., Stasch, C., Liang, S., and Lemmens, R. (2011). New generation sensor web enablement. Sensors, 11(3):2652-2699.
  8. CEC and IODE (1993). Manual of Quality Control Procedures for Validation of Oceangraphic Data. UNESCO, ioc manuals and guides no. 26 edition.
  9. Conover, H., Berthiau, G., Botts, M., Goodman, H. M., Li, X., Lu, Y., Maskey, M., Regner, K., and Zavodsky, B. (2010). Using sensor web protocols for environmental data acquisition and management. Ecological Informatics, 5(1):32 - 41. Special Issue: Advances in environmental information management.
  10. DataONE (2013). Develop a quality assurance and quality control plan. Online. This material is based upon work supported by the National Science Foundation under Grant Number 083094.
  11. Devaraju, A., Kunkel, R., and Bogena, H. (2013). Incorporating quality control information in the sensor web. In Geophysical Research Abstracts - EGU General Assembly 2013, volume 15, page 13766. EGU General Assembly.
  12. Dorigo, W. A., Wagner, W., Hohensinn, R., Hahn, S., Paulik, C., Drusch, M., Mecklenburg, S., van Oevelen, P., Robock, A., and Jackson, T. (2011). The international soil moisture network: a data hosting facility for global in situ soil moisture measurements. Hydrology and Earth System Sciences Discussions, 8(1):1609- 1663.
  13. Garcia, M. (2010). NOAA IOOS Data Integration Framework (DIF) - IOOS Sensor Observation Service Install Instructions. Technical report, Integrated Ocean Observing System (IOOS) Program Office. Version 1.2.
  14. IOC of UNESCO (2013). Ocean Data Standards, Vol.3: Recommendation for a Quality Flag Scheme for the Exchange of Oceanographic and Marine Meteorological Data. Online.
  15. ISO9000 (2005). Quality management systems - fundamentals and vocabulary.
  16. Konovalov, S., Garcia, H. G., Schlitzer, R., Devine, L., Chandler, C., Moncoiff, G., Suzuki, T., and Kozyr, A. (2012). Proposal to adopt a quality flag scheme standard for data exchange in oceanography and marine meteorology. IODE GEBICH, 1.2 edition.
  17. Kunkel, R., Sorg, J., Eckardt, R., Kolditz, O., Rink, K., and Vereecken, H. (2013). TEODOOR: a distributed geodata infrastructure for terrestrial observation data. Environmental Earth Sciences, 69(2):507-521.
  18. Mauder, M., Cuntz, M., Dre, C., Graf, A., Rebmann, C., Schmid, H. P., Schmidt, M., and Steinbrecher, R. (2013). A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements. Agricultural and Forest Meteorology, 169(0):122 - 135.
  19. Mitsos, A., Shirakawa, T., Adam, R., and C. Lautenbacher, C. (2005). Global Earth Observation System of Systems (GEOSS) 10-Year Implementation Plan. Number ESA BR-240 in GEO 1000. ESA Publications Division, Netherlands. ISBN 92-9092-495-0.
  20. Na, A. and Priest, M. (2007). Sensor Observation Service. Online. Version: 1.0.
  21. Schlitzer, R. (2013). Oceanographic quality flag schemes and mappings between them (version: 1.4). Technical report, Alfred Wegener Institute for Polar and Marine Research, Germany.
  22. Stuart, E. M., Veres, G., Zlatev, Z., Watson, K., Bommersbach, R., Kunz, S., Hilbring, D., Lidstone, M., Shu, T., and Jacques, P. (2009). SANY Fusion and Modelling Architecture. OGC Discussion Paper OGC 10- 001, SANY Consortium. Deliverable D3.3.2.3, Version 1.2.
  23. Tarboton, D. G., Horsburgh, J. S., and Maidment, D. R. (2008). CUAHSI Community Observations Data Model (ODM) Version 1.1 Design Specifications. Technical report, The Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI).
  24. Williams, M., Cornford, D., Bastin, L., and Pebesma, E. (2009). Uncertainty Markup Language (UnCertML). Open Geospatial Consortium (OGC).
  25. WMO (1994). Guide to Hydrological Practice - Data acquisition and processing analysis, forecasting and other applications (WMO-No. 168). Technical report, World Meteorological Organization (WMO).
  26. WOCE (1994). WHP 91-1 : WOCE Operations Manual. World Ocean Circulation Experiment (WOCE), WOCE Report No. 68/91 edition.
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Paper Citation


in Harvard Style

Devaraju A., Kunkel R., Sorg J., Bogena H. and Vereecken H. (2014). Enabling Quality Control of Sensor Web Observations . In Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-001-7, pages 17-27. DOI: 10.5220/0004707200170027


in Bibtex Style

@conference{sensornets14,
author={Anusuriya Devaraju and Ralf Kunkel and Juergen Sorg and Heye Bogena and Harry Vereecken},
title={Enabling Quality Control of Sensor Web Observations},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2014},
pages={17-27},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004707200170027},
isbn={978-989-758-001-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Enabling Quality Control of Sensor Web Observations
SN - 978-989-758-001-7
AU - Devaraju A.
AU - Kunkel R.
AU - Sorg J.
AU - Bogena H.
AU - Vereecken H.
PY - 2014
SP - 17
EP - 27
DO - 10.5220/0004707200170027