Integrating spatial statistics and remote sensing.

A. Stein, W.G.M. Bastiaanssen, S. de Bruin, A.P. Cracknell, P.J. Curran, A.G. Fabbri, B.G.H. Gorte, J.W. van Groenigen, F.D. van der Meer, A. Saldana

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44 Citations (Scopus)

Abstract

This paper presents an integrated approach towards spatial statistics for remote sensing. Using the layer concept in Geographical Information Systems we treat successively elements of spatial statistics, scale, classification, sampling and decision support. The layer concept allows to combine continuous spatial properties with classified map units. The paper is illustrated with five case studies: one on heavy metals in groundwater at different scales, one on soil variability within seemingly homogeneous units, one on fuzzy classification for a soillandscape model, one on classification with geostatistical procedures and one on thermal images. The integrated approach offers a better understanding and quantification of uncertainties in remote sensing studies.
Original languageEnglish
Pages (from-to)1793-1814
JournalInternational Journal of Remote Sensing
Volume19
DOIs
Publication statusPublished - 1998

Keywords

  • remote sensing
  • applications
  • geographical information systems
  • geostatistics

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    Stein, A., Bastiaanssen, W. G. M., de Bruin, S., Cracknell, A. P., Curran, P. J., Fabbri, A. G., ... Saldana, A. (1998). Integrating spatial statistics and remote sensing. International Journal of Remote Sensing, 19, 1793-1814. https://doi.org/10.1080/014311698215252