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

  • Elisabetta Carfagna
  • Johnny Marzialetti


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.


Sample Unit Adaptive Sampling Remote Sensing Data European Environment Agency Global Land Cover 
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Copyright information

© Springer 2009

Authors and Affiliations

  • Elisabetta Carfagna
    • 1
  • Johnny Marzialetti
    • 1
  1. 1.Department of Statistical SciencesUniversity of BolognaItaly

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