Six sequential Landsat MSS scenes for a United Kingdom test site were geometrically corrected. Resampling to 50 m pixel size was carried out with Bilinear interpolation and nearest neighbour. Spectral coincident plots and decision boundaries were used for feature selection, and supervised maximum likelihood classification used for crop classification. Bilinear interpolation gave a mean increase in classification accuracy of 1.95 % over nearest neighbour. Multitemporal data gave better overall classification accuracies than single date images. A spring/early summer combination gave a mean classification purity of 70 %, a 6 % increase over the best single date classification from May, and 46 & better than the worst from February.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    The influence of resampling method and multitemporal Landsat imagery on crop classification accuracy in the United Kingdom


    Additional title:

    Der Einfluss von Resampling Verfahren und multitemporaeren Landsat-Bildern auf die Genauigkeit der Ernteklassifizierung in Grossbritannien


    Contributors:


    Publication date :

    1986


    Size :

    6 Seiten, 1 Bild, 6 Tabellen, 17 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Supervised Crop Classification from Middle-Resolution Multitemporal Images

    Brodsky, L. / Vobora, V. / Sourkova, L. et al. | British Library Conference Proceedings | 2008



    Improving Thematic Classification Accuracy of Mangroves Area with Landsat ETM+ Imagery using ICM Contextual Method

    Rakotoniaina, S. / Razafindramasy, F. / Rakotondraompiana, S. et al. | British Library Conference Proceedings | 2006


    Per field filtering and classification of multitemporal ERS-1 SAR imagery

    Grillet, A. / Eerens, H. / Gombeer, R. | British Library Online Contents | 1993


    Resampling of Scanned Imagery for Rectification and Registration

    Shevlin, F. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994