| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8866520 | Remote Sensing of Environment | 2018 | 11 Pages |
Abstract
Our results demonstrated that UAV photogrammetry can be used effectively for predicting forest growing stock volume even when high-resolution DTMs are not available, hence increasing the potentiality of UAVs in forest monitoring and inventory.
Keywords
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Francesca Giannetti, Gherardo Chirici, Terje Gobakken, Erik Næsset, Davide Travaglini, Stefano Puliti,