RT Dissertation/Thesis
T1 Modelling forest stand maturity from National Forest Inventory and terrestrial laser scanning data
A1 Molina Valero, Juan Alberto
K1 close-range remote sensing
K1 carbon sequestration
K1 forest growing stock
K1 forest monitoring
K1 terrestrial-based-technologies
AB Estimation of forest maturity linked to the biomass (or carbon)stock capacity is considered one of the most important issuesregarding forest management and planning. This doctoralthesis explores such relationships and considers the use ofstand level maximum biomass stock as a proxy for forestmaturity through site quality gradient, as a measure that canfeasibly be estimated from National Forest Inventory data. Theresearch study was conducted in Spain for maritime pine (Pinuspinaster ssp. atlantica H. de Vill.), Scots pine (Pinus sylvestrisL.), beech (Fagus sylvatica L.), beech-fir and silver fir (Abiesalba Mill.) forests. Finally, the potential of terrestrial laserscanning (TLS) technology for estimating forest features inmature stands was also explored. For this purpose, the Rpackage FORTLS was developed.
YR 2022
FD 2022
LK http://hdl.handle.net/10347/29427
UL http://hdl.handle.net/10347/29427
LA eng
DS Minerva
RD 24 abr 2026