Remote sensing based assessment of woody biomass and carbon storage in forests
Field work: measurement and acquisition of woody biomass (August - September 2015)
The aim of the project was to work out the complex method of defining selected forest stand descriptions as well as aboveground biomass and carbon sequestration, based on the use of remote sensing for the purposes of forest management planning.
Among main goals were:
- acquisition and processing of remote sensing, laboratory and field data,
- determining the amount of biomass and carbon in the forest based on radar data,
- development of methods for the inventory of selected stand descriptions, growing stock and biomass with the use of active remote sensing techniques,
- local correction of dendrometric volume equations based on terrestrial laser scanning data (TLS),
- development of the merchantable volume conversion factors into biomass and carbon.
Results of the project allow to: reduce time needed to carry out the work of the forest management, especially inventory of growing stock; obtain higher accuracy of the CO2 balance, biomass and annual allowable cut calculations; determine growing stock for any forest area; reduce cost of field work in forest management.
hoveddomene
Inventering, vurdering, overvåking
Skogforvaltning, skogskjøtsel, økosystemtjenester
Forskning og utvikling
Nøkkelord
remote sensing techniques; carbon sequestration; forestry
Utfordring adressert
1. Forbedre skogens robusthet og tilpasningsevne til klimaendringer
Type løsning
Modellering, DSS, simulering, optimalisering
Digital løsning
Ja
Innovasjon
Ja
opprinelsesland
Polen
Potensiale
Nasjonal
Start og slutt år
2015 - 2018Łukasiewicz Research Network - Wood Technology Institute (ITD)
Dobrochna Augustyniak-Wysocka
Hjemmeside (hovedside)
Referanse til prosjekt
Remote sensing based assessment of woody biomass and carbon storage in forests (REMBIOFOR), National Centre for Research and Development within the program „Natural environment, agriculture and forestry” BIOSTRATEG, agreement no. BIOSTRATEG1/267755/4/NCBR/2015
Prosjektets hjemmeside
Parkitna K., Krok G., Lisańczuk M., Mitelsztedt K., Ukalski K., Magnussen S., Markiewicz A., Miścicki S., Stereńczak K. 2021. Modelling growing stock volume of forest stands with the use of selected LiDAR Area Based Approaches in various predictive models. Forestry: An International Journal of Forest Research
Innleggsdato
Torsdag, 12 august, 2021 - 11:22
Prosjekt som dette faktaarket er opprettet under
Rosewood 4.0