IDEAS home Printed from https://ideas.repec.org/a/wly/apsmbi/v25y2009i2p195-205.html
   My bibliography  Save this article

Sequential design in quality control and validation of land cover databases

Author

Listed:
  • Elisabetta Carfagna
  • Johnny Marzialetti

Abstract

We have faced the problem of evaluating the quality of land cover databases produced through photo‐interpretation of remote‐sensing data according to a legend of land cover types. First, we have considered the quality control, that is, the comparison of a land cover database with the result of the photo‐interpretation made by a more expert photo‐interpreter, on a sample of the polygons. Then we have analysed the problem of validation, that is, the check of the photo‐interpretation through a ground survey. We have used the percentage of area correctly photo‐interpreted as a quality measure. Since the kind of land cover type and the size of the polygons affect the probability of making mistakes in the photo‐interpretation, we stratify the polygons according to two variables: the land cover type of the photo‐interpretation and the size of the polygons. We have proposed an adaptive sequential procedure with permanent random numbers in which the sample size per stratum is dependent on the previously selected units but the sample selection is not, and the stopping rule is not based on the estimates of the quality parameter. We have proved that this quality control and validation procedure allows unbiased and efficient estimates of the quality parameters and allows reaching high precision of estimates with the smallest sample size. Copyright © 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Elisabetta Carfagna & Johnny Marzialetti, 2009. "Sequential design in quality control and validation of land cover databases," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(2), pages 195-205, March.
    • Handle: RePEc:wly:apsmbi:v:25:y:2009:i:2:p:195-205
    DOI: 10.1002/asmb.742
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asmb.742
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asmb.742?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:apsmbi:v:25:y:2009:i:2:p:195-205. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1526-4025 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.