Lauri Korhonen
@lakorhon.bsky.social
Associate professor of remote sensing of forest resources at the University of Eastern Finland.
In an earlier study, smarphone app Trestima provided best-case RMSE of 50-73% for conifer sawlog volumes when compared to operational data, indicating that the above-mentioned geodata approach is potentially more accurate. iforest.sisef.org/abstract/?id...
Estimating the accuracy of smartphone app-based removal estimates against actual wood-harvesting data from clear cuttings
iForest - Biogeosciences and Forestry, vol. 17, pp. 140-147 (2024)
iforest.sisef.org
March 5, 2025 at 10:06 AM
In an earlier study, smarphone app Trestima provided best-case RMSE of 50-73% for conifer sawlog volumes when compared to operational data, indicating that the above-mentioned geodata approach is potentially more accurate. iforest.sisef.org/abstract/?id...
Yep, LAStools is commercial. For me it is mostly just ground point classification, and both work well enough.
November 21, 2024 at 3:19 PM
Yep, LAStools is commercial. For me it is mostly just ground point classification, and both work well enough.
LAStools and R (lidR). Both have their uses.
November 21, 2024 at 6:09 AM
LAStools and R (lidR). Both have their uses.