Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 43007
Title Integrating spatial statistics and remote sensing.
Author(s) Stein, A.; Bastiaanssen, W.G.M.; Bruin, S. de; Cracknell, A.P.; Curran, P.J.; Fabbri, A.G.; Gorte, B.G.H.; Groenigen, J.W. van; Meer, F.D. van der; Saldana, A.
Source International Journal of Remote Sensing 19 (1998). - ISSN 0143-1161 - p. 1793 - 1814.
DOI https://doi.org/10.1080/014311698215252
Department(s) Laboratory of Geo-information Science and Remote Sensing
Winand Staring Centre for Integrated Land, Soil and Water Research
Laboratory of Soil Science and Geology
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 1998
Keyword(s) remote sensing - toepassingen - geografische informatiesystemen - geostatistiek - applications - geographical information systems - geostatistics
Categories Remote Sensing
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.
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.