Detection of disturbed forest ecosystems in the forest-steppe zone using reflectance values
Terekhin E.A.


Belgorod State University, Belgorod, Russia


This paper presents results of the assessment of discriminant analysis potentialities for detecting disturbed forest ecosystems in the forest-steppe zone using their reflectance spectrum properties. A new method is proposed for the automated detection of disturbed forest stands among forest-covered lands, based on the discriminant analysis of the magnitude of changes in the reflectance in various spectral ranges. Using experimental data from 1836 forest areas typical of the forest-steppe zone of the Central Chernozem region, we propose equations that allow a specific forest area to be classified as disturbed or undisturbed forests in an automated mode. The accuracy of disturbed forest detection is about 90%. It is found that variations in the short-wave infrared reflectance are most informative for disturbed forest land detection when compared with the reflectance variations detected by the Landsat sensors in the other spectral ranges.

disturbed forest ecosystems, stepwise discriminant analysis, remote sensing, Landsat, reflectance spectrum properties

Terekhin EA. Detection of disturbed forest ecosystems in the forest-steppe zone using reflectance values. Computer Optics 2019; 43(3): 412-418. DOI: 10.18287/0134-2452-2019-43-3-412-418.


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