Skip to main content
SpringerLink
Log in

Assessment for Remote Sensing Data: Accuracy of Interactive Data Quality Interpretation

  • Conference paper
Computational Science and Its Applications - ICCSA 2011 (ICCSA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6783))

Included in the following conference series:

Abstract

Earth observation data has become a source for delivering data to monitor environmental processes. The increased availability of remote sensing data is accompanied by an increasing user demand for additional data information to describe remote sensing data of providers (e.g. ESA, European Space Agency). In addition to cloud cover degree, the data usability parameter defined by ESA will be delivered to characterise data quality. While the cloud cover degree refers to the number of cloud pixels only the data usability parameter additionally analyses the cloud distribution. The evaluation of remote sensing data is executed by visual assessment of interpreters. This paper deals with the quantification of subjective influences during the assessment process and on the assessment of the error magnitude of the interactive data usability assessment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Haydn, R., Barner, F.: IRS Program and Products. In: Ground Segment Coordination Body (GSCB). In: Workshop, (ESA ESRIN) Frascati, Rome, Italy (June 19-20, 2007), http://151.121.3.218/pdfs/2007/7%20Dr.%20Rupert%20Haydn.pdf

  2. Schreier, G., Diedrich, E., Mikusch, E., Maass, H.: The Earth Observation Ground Segment of DLR in GMES. In: 33rd ISRSE - International Symposium on Remote Sensing of Environment.- Sustaining the Millenium Development Goals, Stresa, Lago Magiore, Italy.- TS-15-6 (ref 252) (2009)

    Google Scholar 

  3. Hollingsworth, B., Chen, L., Reichenbach, S.E., Irish, R.: Automated cloud cover assessment for Landsat TM images. In: Descour, M.R., Mooney, J.M. (eds.) Proceedings of SPIE – Imaging Spectrometry II, vol. 2819, pp. 170–179 (1996), http://www.jedi.com/obiwan/spie.pdf

  4. Irish, R.: Automatic Cloud Cover Assessment (ACCA) LANDSAT 7 ACCA. In: Goddard Space Flight Center. LANDSAT -7 Science Team Meeting (December 1-3, 1998), http://landsathandbook.gsfc.nasa.gov/pdfs/ACCA_slides.pdf

  5. Irish, R.: LANDSAT 7 Automatic Cloud Cover Assessment. In: Sylvia, S.S., Descour, M.R. (eds.) Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI. Proceedings of SPIE, vol. 4049, pp. 348–355 (2000)

    Google Scholar 

  6. Xu, Q., Wu, W.: ACRES Automatic Cloud Cover Assessment of LANDSAT 7 Images. In: Spatial Sciences Conference 2003 – Spatial Knowledge without Boundaries, Canberra, September 23-26, p. 10 (2003)

    Google Scholar 

  7. Biasutti, R.: Cloud Cover Evaluation. In: LTWG 8, LANDSAT Technical Working Group Meeting (USGS/NASA), Ottawa, Canada, July 17-22 (2000)

    Google Scholar 

  8. Brooke, J.: SUS: a “quick and dirty” usability scale. In: Jordan, P.W., Thomas, B., Weerdmeester, B.A., Mc Clelland, I.L. (eds.) Usability Evaluation in Industry. Taylor&Francis Group, CRC Press, USA (1996)

    Google Scholar 

  9. Bettac, H.-D., Missling, K.-D., Schwarz, J.: LANDSAT 7 Stations Network Report, Station of Neustrelitz (Germany). In: LTWG 7, LANDSAT Technical Working Group (USGS/NASA), Williamsburg/VA (USA), January 25-27, 2000 (2000a)

    Google Scholar 

  10. Bettac, H.-D., Gredel, J., Reiniger, K., Schreier, G., Strunz, G., Schwarz, J.: The DFD-LANDSAT-7 Ground Segment - Station Report. In: LTWG 6, LANDSAT Technical Working Group (USGS/NASA), Sioux Falls, SD, USA, July 30-02, 1999 (2000b)

    Google Scholar 

  11. Schwarz, J., Bettac, H. D., Missling, K.-D.: Das DFD-Bodensegment für LANDSAT-7. In: Mehl, H., Dech, S. (eds.) DLR-Mitteilung 1999-03 - Erdbeobachtungsprogramme, Missionen, neue Fernerkundungsverfahren und –produkte, Geographische Informationssysteme, Anwendungen, digitale Bildverarbeitung, Oktober 20-21, 1999 (2000)

    Google Scholar 

  12. Bahrenberg, G., Giese, E., Nipper, J.: Statistische Methoden in der Geographie 1 – Univariate und bivariate Statistik. In: Teubner Studienbücher der Geographie, Stuttgart, Germany (1990)

    Google Scholar 

  13. Bortz, J.: Statistik für Human- und Sozialwissenschaftler. Springer, Berlin (2004)

    MATH  Google Scholar 

  14. Skirvin, S.M., Kempner, W.G., Marsh, S.E., Drake, S.E., Maingi, J.K., Edmonds, C.M., Watts, C.J., Williams, D.R.: Assessing the Accuracy of Satellite-Derived Land-Cover Classification Using Historical Aerial Photography, Digital Orthophoto Quadrangles, and Airborne Video Data. In: Lunetta, R.S., Lyon, J.G. (eds.) Remote Sensing and GIS Accuracy Assessment, pp. 115–131. CRC Press LLC, Boca Raton (2004)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. German Aerospace Center, German Remote Sensing Data Center, Kalkhorstweg 53, 17235, Neustrelitz, Germany

    Erik Borg & Bernd Fichtelmann

  2. Department of Geography, University of Potsdam, Karl-Liebknecht-Strasse 24/25

    Hartmut Asche

Authors
  1. Erik Borg
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bernd Fichtelmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hartmut Asche
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Basilicata University Potenza, L.I.S.U.T. - D.A.P.I.T., 10, Viale dell’Ateneo Lucano, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  3. Department of Applied Mathematics and Computational Sciences, University of Cantabria,, Avda. de los Castros, s/n, Santander, C.P. 39005, Spain

    Andrés Iglesias

  4. School of Business Systems, Monash University, VIC 3800, Clayton, Australia

    David Taniar

  5. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Borg, E., Fichtelmann, B., Asche, H. (2011). Assessment for Remote Sensing Data: Accuracy of Interactive Data Quality Interpretation. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6783. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21887-3_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21887-3_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21886-6

  • Online ISBN: 978-3-642-21887-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation