Silva Fennica : quarterly issues : 39(4) : sa394599.htm

Jaroslaw Zawadzki, Chris J. Cieszewski, Michal Zasada & Roger C. Lowe. 2005.

Applying geostatistics for investigations of forest ecosystems using remote sensing imagery

Silva Fennica 39(4): 599–618

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.

remote sensing, spatial information, semivariance, semivariogram, forest classification

Zawadzki, Environmental Engineering Department, Warsaw Technical University, Ul. Nowowiejska 20, 00-653 Warsaw, Poland; Cieszewski, D. B. Warnell School of Forest Resources, University of Georgia, Athens, GA 30602, USA; Zasada, Department of Forest Productivity, Faculty of Forestry, Warsaw Agricultural University, Poland; Lowe, D. B. Warnell School of Forest Resources, University of Georgia, Athens, GA 30602, USA. E-mail

Received 29 September 2004 Accepted 1 November 2005
ISSN 0037-5330

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