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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, 2023, Vol. 20, No. 3, pp. 193-206

Using a multifunctional approach for cartographic modeling of organic carbon content in natural and arable soils of Central Caucasus

R.Kh. Tembotov 1 
1 Tembotov Institute of Ecology of Mountain Territories RAS, Nalchik, Russia
Accepted: 20.06.2023
DOI: 10.21046/2070-7401-2023-20-3-193-206
Based on the information obtained on organic carbon content in soils and remote sensing data, a mapping model reflecting the spatial variation of organic carbon content in the upper horizons (0–20 cm) of soils in Central Caucasus was created using digital soil modelling and mapping technology. For modelling we applied a multifunctional approach involving a combination of actual data on the organic carbon content (training set) with data derived from external sources of information (remote sensing data) that was processed using a stepwise discriminant analysis. The necessity to create a model of organic carbon distribution in soils separately for artificial (agrocenoses) and natural biogeocenoses was established using statistical methods of analysis. As a result of combining two hypothetical models, a verified model reflecting the real picture of changes in the organic carbon content in soils of Central Caucasus was obtained. Reliability of the model was 68 %. It contains actual data on organic carbon content in natural and agrogenic soils of Central Caucasus. This model is a necessary tool for decision making to maintain or increase current soil carbon stocks under conditions of climate change and increasing anthropogenic impact.
Keywords: organic carbon content, cartographic models, discriminant analysis, Landsat, SRTM, WorldClim
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