Monitoring of Forest Condition Using Cluster Analysis in Interpretation Process of Middleand High-Resolutions Satellite Images
Abstract
The purpose of this study was to find out whether it is suitable to combine two cluster analysis tools for forests condition monitoring. Multispectral satellite images of high and medium resolution Landsat TM/ETM+, Aster, Spot, IRS, made between 1995 and 2011 and their fragments were subjected to two-stage processing. First uncontrolled classification method ISODATA (Iterative Self-Organizing Data Analysis Technique) was used. Then calculation of the thematic difference of classification results was carried out. The prospects to use a parameter of pixels thematic difference for evaluation of disturbance of forests from fires is shown. For disturbed forest areas the amount of pixels in the second subclass of thematic difference is greater than in the first subclass. While undisturbed forest areas have the amount of pixels in the first subclass of thematic difference greater than or equal to the amount of pixels of the second subclass of thematic difference. The prospects of the cluster analysis tools to monitor seasonal changes in forest conditions are shown. Comparison of two fragments the first one with larch dominance and the second one with Siberian pine dominance has shown that in the autumn months the dominance of larch and pine (September, October) there is a sharp increase in pixels in the second subclass of thematic difference in the fragment with larch dominance because of the increasing of the share of pixels with high optical density after larch drop its needles and fall of the leaf. For the fragment with the dominance of Siberian pine seasonal changes in the distribution of pixel symmetry index are less pronounced. Promising tools of cluster analysis of pixels in the longterm monitoring of forest ecosystems (for example, forest restoration process after fire) are considered. The rate of forest recovery on a fragment of burnt area of 698 hectares is defined. It is shown that the rate of recovery after a fire depends on the character of disturbance of the forest after a fire.
About the Authors
Yuriy Filippovich Rozhkov
State Nature Reserve «Olekminsky»
Russian Federation
Russian Federation
Maria Yuryevna Kondakova
Hydrochemical Institute
Russian Federation
Russian Federation
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Review
For citations:
Rozhkov Yu.F., Kondakova M.Yu. Monitoring of Forest Condition Using Cluster Analysis in Interpretation Process of Middleand High-Resolutions Satellite Images. Arctic and Subarctic Natural Resources. 2016;21(3):95-100. (In Russ.)
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