%0 Review article
%T Applying geostatistics for investigations of forest ecosystems using remote sensing imagery
%A Zawadzki, Jaroslaw
%A Cieszewski, Chris J.
%A Zasada, Michal
%A Lowe, Roger C.
%D 2005
%J Silva Fennica
%V 39
%N 4
%R doi:10.14214/sf.369
%U https://silvafennica.fi/article/369
%X Geostatistically based methods that utilize textural information are  frequently used to analyze remote sensing (RS) images. The role of these  methods in analyzing forested areas increased rapidly during the last  several years following advancements in high-resolution RS technology.  The results of numerous applications of geostatistical methods for  processing RS forest images are encouraging. This paper summarizes such  results. Three closely related topics are reviewed: 1) specific  properties of geostatistical measures of spatial variability calculated  from digital images of forested areas, 2) determination of biophysical  forest parameters using semivariograms and characterization of forest  ecosystem structure at the stand level, and 3) forest classification  methods based on spatial information.