Matti Hyyppä
Biographic Data
| ID | 9057399 |
|---|---|
| NAME | Matti Hyyppä |
| GIVEN NAMES | Matti |
| FAMILY NAME | Hyyppä |
| SIGNATURE | HYYPPÄ M |
| AFFILIATIONS | Finnish Geospatial Research Institute |
| ORCID | 0009-0001-3643-1561 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A novel approach for bilberry yield mapping integrating airborne laser scanning, map databases, and automatically interpreted terrestrial images
Picking of wild berries is a common activity in the Nordic countries, but finding productive areas can be challenging, especially for inexperienced pickers. This article presents a novel approach for bilberry ( Vaccinium myrtillus ) yield mapping based on random forest (RF) classification. A large variety of features for classification was derived from airborne laser scanning (ALS) data and existing map databases. Training data were obtained by a…
Concepts Towards Nation-Wide Individual Tree Data and Virtual Forests
Individual tree data could offer potential uses for both forestry and landscape visualization but has not yet been realized on a large scale. Relying on 5 points/m2 Finnish national laser scanning, we present the design and implementation of a system for producing, storing, distributing, querying, and viewing individual tree data, both in a web browser and in a game engine-mediated interactive 3D visualization, “virtual forest”. In our experiment…
No prominent works on this page.
Concepts Towards Nation-Wide Individual Tree Data and Virtual Forests
Individual tree data could offer potential uses for both forestry and landscape visualization but has not yet been realized on a large scale. Relying on 5 points/m2 Finnish national laser scanning, we present the design and implementation of a system for producing, storing, distributing, querying, and viewing individual tree data, both in a web browser and in a game engine-mediated interactive 3D visualization, “virtual forest”. In our experiment…
A novel approach for bilberry yield mapping integrating airborne laser scanning, map databases, and automatically interpreted terrestrial images
Picking of wild berries is a common activity in the Nordic countries, but finding productive areas can be challenging, especially for inexperienced pickers. This article presents a novel approach for bilberry ( Vaccinium myrtillus ) yield mapping based on random forest (RF) classification. A large variety of features for classification was derived from airborne laser scanning (ALS) data and existing map databases. Training data were obtained by a…
Remote Sensing and LiDAR Applications (2 works) · 3D Surveying and Cultural Heritage (1 work) · Agroforestry (1 work) · Bilberry (1 work) · Computer Science (1 work) · Data science (1 work) · Environmental resource management (1 work) · Environmental Science (1 work) · Forest Ecology and Biodiversity Studies (1 work) · Forest ecology and management (1 work)