Estimation of the Total Carbon Stock of Dudles Forest Based on Satellite Imagery, Airborne Laser Scanning, and Field Surveys

Czimber, Kornél and Szász, Botond and Ács, Norbert and Heilig, Dávid and Illés, Gábor and Mészáros, Diána and Veperdi, Gábor and Heil, Bálint and Kovács, Gábor (2025) Estimation of the Total Carbon Stock of Dudles Forest Based on Satellite Imagery, Airborne Laser Scanning, and Field Surveys. FORESTS, 16 (3). ISSN 1999-4907

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Abstract

We present our carbon stock estimation method developed for mixed coniferous and deciduous forests in the Hungarian hilly region, covering diverse site conditions. The method consists of four complex steps, integrating traditional field surveys with modern remote sensing and GIS. The first step involves comprehensive field data collection at systematically distributed sampling points. The second step is tree species mapping based on satellite image time series. The third step uses Airborne Laser Scanning to estimate aboveground biomass and derive the carbon stock of roots. The final step involves evaluating and spatially extending field and laboratory data on litter and humus from sampling points using geostatistical methods, followed by aggregating the results for the forest block and individual forest sub-compartments. New elements were developed and implemented into the complex methodology, such as aboveground biomass calculation with voxel aggregation and underground carbon stock spatial extension with EBK regression prediction. Additionally, we examined how the accuracy of our method, designed for a 200 m sampling grid, decreases as the distance between sampling points increases.

Tudományterület / tudományág

agricultural sciences > forestry and wildlife management
natural sciences > environmental science

Faculty

Not relevant

Institution

Soproni Egyetem

Item Type:	Article
SWORD Depositor:	Teszt Sword
Depositing User:	Csaba Horváth
Identification Number:	MTMT:35931687
Date Deposited:	03 Apr 2025 10:16
Last Modified:	03 Apr 2025 10:16
URI:	http://publicatio.uni-sopron.hu/id/eprint/3580

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