Carbon measurements test area in Kaluga region

Technological patners

• All-Russian Research Institute for Silviculture and Mechanization of Forestry
• Institute of Physical, Chemical and Biological Problems RAS
• Kaluga branch of the Russian State Agrarian University - Moscow Timiryazev Agricultural Academy
• Ugra National Park
• V.V. Dokuchaev Soil Science Institute Aeromax LLC

Carbon measurements test area

• Experimental sites on regenerative agriculture, total area (275 Ha). Main and additional lanscape types — agricultural land Vegetation structure and main types — grass vegetation Soil types — sod-podzolic
• Areas of forestry experiments, total area (180 Ha). Main and additional landscape types — forested agricultural land. Vegetation structure and main types — small-grass pine with birch. Soil types — sod-podzolic.
• Sites for the implementation of the climate project to increase the absorption of atmospheric carbon by soils and plant biomass (carbon farm), total area 145.3 Ha Main and additional landscape types — forested agricultural land. Vegetation structure and main types — small-grass pine with birch. Soil types — sod-podzolic.

Tasks

Increase carbon-depositing capacity on forested agricultural lands

Monitor greenhouse gas emissions during the natural thinning of the stand

Monitor greenhouse gas emissions in forests after grassroots fires

Estimate volumes of aboveground phytomass based on radar, lidar, multi- and hyperspectral images using space systems and unmanned aerial vehicles

Recognize species composition from high-resolution hyperspectral images using artificial intelligence technologies

Model and calculate the volume of litter and underground phytomass for forests using remote monitoring data

Research results

An increase in carbon-depositing capacity on forested agricultural lands

Monitoring of greenhouse gas emissions during the natural thinning of the stand

Monitoring of greenhouse gas emissions by forest areas after grassroots fires

Estimation of volumes of the aboveground phytomass based on radar, lidar, multi- and hyperspectral images using space systems and unmanned aerial vehicles

Recognition of species composition from high-resolution hyperspectral images using artificial intelligence technologies

Modeling and calculation of the volume of litter and underground phytomass for forest areas based on remote monitoring data

International integration

Joint research projects are planned with Shell Concern, Salym Petroleum Development

Education and training

Together with the Kaluga branch of the Russian State Agrarian University — Moscow Timiryazev Agricultural Academy

Faculty of Agricultural Technologies, Engineering and Land Management, Departments: Agronomy; Land Management and Cadastre; Agroengineering

Introductory lecture course for undergraduates and postgraduates on the following topics:

• Carbon assets of the forest biome: management of carbon stocks and fluxes.
• Planning concept and production technology of carbon assets of the forest biome and ecosystems of atmospheric carbon catchers