Abstract
This chapter deals with the problem of assessing the quality of land-cover databases, since only high-quality products are useful for gaining knowledge about and managing territory. After a brief analysis of the main aspects of quality control and validation of land-cover databases, the main concepts of statistical quality control methods are recalled in order to show how some quality control procedures for land-cover databases can be formalized and improved by taking advantage of statistical quality control methods. Then, sequential and two-step adaptive procedures with various quality indices are proposed that continuously improve the quality of land-cover databases during the production process, in order to satisfy the user’s needs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Agresti, A.: Categorical Data Analysis. Wiley, New York (2002)
Banerjee, M., Capozzoli, M, McSweeney, L.: Beyond kappa: a review of interrater agreement measures. Can. J. Stat. 27, 3–23 (1999)
Birkett, M.A., Day, S.J.: Internal pilot studies for estimating sample size. Stat. Med. 13, 2455–2463 (1994)
Carfagna, E.: Innovazione continua nella elaborazione di dati telerilevati per la geslione del territorio. Proc. Intermediate Meeting of the Research Project of Relevant National Interest “Statistica e tecnologia a sostegno delle imprese”. Department of Statistics, Bologna, 15-16 Feb. (2007a)
Carfagna, E.: Crop area estimates with area frames in the presence of measurement errors. Proceedings of ICAS-IV, 4th Int. Conf. on Agricultural Statistics, Advancing Statistical Integration and Analysis (paper invited by Michael A. Steiner), Beijing, 22-24 Oct. (2007b)
Carfagna, E., Gallego, J.F.: Thematic Maps and Statistics (invited paper). In: Land Cover and Land Use Information Systems for European Union Policy Needs, Office for Official Publications of the European Communities, Luxembourg, pp. 111–121, ISBN 92-828-74450-8 (1998)
Carfagna E., Gallego J.F.: Using remote sensing for agricultural statistics. Int. Stat. Rev. 73, 3, 389–404 (2005)
Carfagna, E., Marzialetli, J.: Sequential design in quality control and validation of land cover data bases. In: Vicario, G., Isaia, E.D. (eds.): Proc. Joint ENBIS-DEINDE 2007 Conf. “Computer Experiments versus Physical Experiments,” Torino, Italy, 11-13 April (2007); paper submitted to J. Appl. Stoch. Mod. Bus. Ind. (ASMBI)
Carfagna, E., Marzialetti, J., Maffei, S.: Sequential and two phase sample designs for quality control. Proc. XLIV Sci. Meeting of the Italian Statistical Society, University of Calabria, Italy, 25-27 June (2008)
Carfagna, E., Napoletano, P.: Statistica e cartografia per la creazione e l’utilizzo di basi di dati sull’uso del suolo. Proc. XL Sci. Meeting of the Italian Statistical Society, Florence, Italy, 26-28 April 2000, pp. 747–750 (2000)
Cohen, J.: A coefficient of agreement for nominal scales. Educ. Psychol. Meas. 20, 37–46 (1960) Cochran, W.C.: Sampling techniques. 3rd edn. Wiley, New York (1997)
European Environment Agency: The thematic accuracy of Coline land cover 2000-assessment using LUCAS. EEA Tech. Rep. 7 (2006)
Fleiss, J.L., Cohen, J., Everitt, B.S.: Large sample standard errors of kappa and weighted kappa. Psychol. Bull. 72, 323–327 (1969)
Mayaux, P., Strahler, A., Eva, H., Herold, M., Shefali, A., Naumov, S., et al.: Validation of the Global Land Cover 2000 Map. IEEE Trans. Geosci. Rem. Sens. 44(7), 1728–1739 (2006)
Montgomery, D.C.: Introduction to statistical quality control, 4th edn. Wiley, New York (2001)
Ohlsson, E.: Coordination of samples using permanent random numbers. In: Cox, B., Binder, D., Chinnapa, B., Christianson, A., Colledge, M., Kott P. (eds.): Business survey methods. Wiley, New York, pp. 153–169(1995)
Ohlsson, E.: SAMU-The system for co-ordination of samples from the business register at Statistics Sweden-a methodological description (R&D Rep. 1992:18). Statistics Sweden, Stockholm (1992)
Scepan, J.: Thematic validation of high-resolution global land-cover data sets. Photogramm. Eng. Rem. S. 65, 1051–1060 (1999)
Strahler, A.S., Boschetti, L., Foody, G.M., Friedl, M.A., Hansen, M.C., Herold, M., et al.: Global land cover validation recommendations for evaluation and accuracy assessment of Global Land Cover Maps (EUR 22156 EN). Office for Official Publication of the European Communities, Luxembourg (2006)
Tanner, M.A., Young, M.A.: Modeling agreement among raters. J. Am. Stat. Assoc. 80, 175–180 (1985)
Thompson, S.K.: Sampling. Wiley, New York (1992)
Thompson, S.K., Seber, G.A.F.: Adaptive Sampling. Wiley, New York, ISBN 0-471-55871-0 (1996)
Wald. A.: Sequential Analysis. Wiley, New York (1947)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer
About this chapter
Cite this chapter
Carfagna, E., Marzialetti, J. (2009). Continuous Innovation of the Quality Control of Remote Sensing Data for Territory Management. In: Erto, P. (eds) Statistics for Innovation. Springer, Milano. https://doi.org/10.1007/978-88-470-0815-1_8
Download citation
DOI: https://doi.org/10.1007/978-88-470-0815-1_8
Publisher Name: Springer, Milano
Print ISBN: 978-88-470-0814-4
Online ISBN: 978-88-470-0815-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)