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.
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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
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DOI: https://doi.org/10.1007/978-88-470-0815-1_8
Publisher Name: Springer, Milano
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