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Continuous Innovation of the Quality Control of Remote Sensing Data for Territory Management

In: Statistics for Innovation

Author

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  • Elisabetta Carfagna

    (University of Bologna, Department of Statistical Sciences)

  • Johnny Marzialetti

    (University of Bologna, Department of Statistical Sciences)

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.

Suggested Citation

  • Elisabetta Carfagna & Johnny Marzialetti, 2009. "Continuous Innovation of the Quality Control of Remote Sensing Data for Territory Management," Springer Books, in: Pasquale Erto (ed.), Statistics for Innovation, chapter 0, pages 145-160, Springer.
    • Handle: RePEc:spr:sprchp:978-88-470-0815-1_8
    DOI: 10.1007/978-88-470-0815-1_8
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