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Effects of numbers of observations and predictors for various model types on the performance of forest inventory with airborne laser scanning.
- Source :
-
Canadian Journal of Forest Research . 2022, Vol. 52 Issue 3, p385-395. 11p. - Publication Year :
- 2022
-
Abstract
- The article focuses on effects of numbers of observations and predictors for various model types on the performance of forest inventory with airborne laser scanning.
Details
- Language :
- English
- ISSN :
- 00455067
- Volume :
- 52
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Canadian Journal of Forest Research
- Publication Type :
- Academic Journal
- Accession number :
- 155605204
- Full Text :
- https://doi.org/10.1139/cjfr-2021-0192