Jaroslaw Zawadzki 
,
Chris J. Cieszewski,
Michal Zasada,
Roger C. Lowe
Applying geostatistics for investigations of forest ecosystems using remote sensing imagery
Zawadzki J., Cieszewski C. J., Zasada M., Lowe R. C. (2005). Applying geostatistics for investigations of forest ecosystems using remote sensing imagery. Silva Fennica vol. 39 no. 4 article id 369. https://doi.org/10.14214/sf.369
Abstract
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.
Keywords
remote sensing;
spatial information;
semivariance;
semivariogram;
forest classification
-
Zawadzki,
Environmental Engineering Department, Warsaw Technical University, Ul. Nowowiejska 20, 00-653 Warsaw, Poland
E-mail
jaroslaw.zawadzki@is.pw.edu.pl
- Cieszewski, D. B. Warnell School of Forest Resources, University of Georgia, Athens, GA 30602, USA E-mail cjc@nn.us
- Zasada, Department of Forest Productivity, Faculty of Forestry, Warsaw Agricultural University, Poland E-mail mz@nn.pl
- Lowe, D. B. Warnell School of Forest Resources, University of Georgia, Athens, GA 30602, USA E-mail rcl@nn.us
Received 29 September 2004 Accepted 1 November 2005 Published 31 December 2005
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