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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, 2024, Vol. 21, No. 2, pp. 212-222

Improving the method of mapping organic carbon in the forest litter in Central Federal District

D.V. Ershov 1 , E.N. Sochilova 1 , N.V. Koroleva 1 , D.G. Schepaschenko 1 
1 Center for Forest Ecology and Productivity RAS, Moscow, Russia
Accepted: 03.04.2024
DOI: 10.21046/2070-7401-2024-21-2-212-222
The article presents a method for spatial modeling of carbon stock in the forest litter, improved in terms of mapping the main types of forest soils of the soil map of Russia on a scale of 1:2 500 000. The aim of the research is to bring the 1:2 500 000 scale soil map in forested areas closer in detail and spatial resolution to MODIS (Moderate Resolution Imaging Spectroradiometer) satellite thematic products (230 m) and, based on it, simulate carbon stocks in the forest litter. The proposed method for estimating carbon stocks in the litter is intended to combine the previously developed model and more detailed information about soils and vegetation. The mathematical model for estimating carbon in the forest floor for the predominant tree species and the type of terrestrial ecosystems takes into account soil types, minimum and maximum carbon values in them, correction coefficients characterizing the state and disturbance of soils in different regions. The article describes the input data used in the estimation model, their preparation, and the classification of the soil map using the Random Forest method. The results of a preliminary comparison of estimates of carbon stocks in the forest litter obtained in this work with the literature data and with the previously obtained map are presented.
Keywords: forest litter, carbon stock, soil map, types of forest soils, MODIS, Random Forest, Central Federal District
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