FINT-CH (Find Individual Trees Switzerland)
In the project FINT-CH a methodology for the large-scale characterization of forest structures, thereon a better detection of single trees on the basis of remote sensing data, is under development. By using segmentation, stand boundaries and the corresponding top height, cover and mixture ratio get determined. This forms the basis for the specific single tree detection using forest structures. Large-scale geodata with valuable forest information can be generated. Their usage in practice are demonstrated on the basis of four examples.Vector-geodata (type polygon) with stand boundaries and the following attributes: - Basic shape (uniform, unequally) - Top height (hdom) - Cover ratio - Mixture ratio - Stem number of upper-class trees - Basal area of upper-class trees Vector-geodata (type points) with detected single trees and the following attributes: - Top height - BHD - Social status in the upper-class -Z-trees Vector-geodata (type polygon) with forest gaps, boundaries and aisle The methodology should be able to get a simple and large-scale investigation every 5 to 10 years regarding the mentioned data attributes mentioned beforehand. With these attributes conclusions are possible regarding stem numbers of different classes, protective forest investigations, mapping of forest gaps, boundaries and aisle as well as on stock estimations and finally operational planning (allowable cut, activity planning… ) |
Huvud domän
Inventering, värdering, övervakning
Skogsförvaltning, skogskjötsel, ekosystemtjänster
Forskning och utveckling
Nyckelord
Remote sensing data; monitoring; Detection; Software
Utmaning som adresseras
2. Förbättra infrastruktur och kapacitet hos offentliga aktörer
Type av lösning
Sensorer, mätinstrument
Digital lösning
Ja
Innovasion
Ja
Upphovsland
Schweiz
Potential
Nationell
Start och slutår
- Hemsida (huvudsida)
Datum för inlägg
torsdag, 12 augusti, 2021 - 12:52
Projekt som detta factsheet skapats inom
Rosewood 4.0