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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2026, V. 23, No. 5, pp. 300-311

Statistical analysis of Short-Wave Vegetation Index (SWVI) time series in tasks of monitoring post-pyrogenic dynamics of forest ecosystems

I.I. Кирбижекова 1 , T.N. Chimitdorzhiev 1 , A.V. Dmitriev 1 , А.К. Baltukhaev 1 
1 Institute of Physical Materials Science SB RAS, Ulan-Ude, Russia
Accepted: 02.07.2026
DOI: 10.21046/2070-7401-2026-23-5-300-311
The article presents the results of a statistical analysis of a long-term (2000–2022) time series of SWVI (Short-Wave Vegetation Index) obtained from Landsat-5/8 satellites using the GEE (Google Earth Engine) cloud platform for four key sites: pine saplings at the stage of post-pyrogenic restoration, control areas of mature pine and mixed forests, an open area after vegetation degradation. The aim of the work is to evaluate the informative value of various statistical characteristics of SWVI for monitoring the post-pyrogenic dynamics of forest vegetation. Statistically significant trends of convergence of the average values (r2 = 0.634) and standard deviations (r2 = 0.574) of SWVI of the reforestation site and the control pine forest in a sliding annual window have been established. The time to reach the background level is 26 and 37 years, respectively. The post-pyrogenic dynamics of annual position, scattering, asymmetry, and kurtosis indicators normalized to the pre-fire level is shown. It was found that the average annual and median SWVI values recover 17–20 years after the fire to 80–100 %, but the scattering characteristics remain elevated to 200 % or more. The indicators of skewness and kurtosis react poorly to pyrogenic effects, but they are sensitive to data quality (completeness and uniformity of distribution). A method for visualizing succession trajectories on the “average annual value – standard deviation” plane is proposed, which makes it possible to diagnose the stages of restoration and degradation of vegetation cover. The results obtained can be used in the creation of regional satellite monitoring systems for reforestation and verification of carbon budgets.
Keywords: SWVI time series, statistical characteristics, post-pyrogenic recovery, forest vegetation, Google Earth Engine, Baikal region
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