A random forest model for basal area increment predictions from national forest inventory data

Random Forest Model ◽

Basal Area Increment ◽

National Forest ◽

Inventory Data ◽

Forest Model ◽

National Forest Inventories: Contributions to Forest Biodiversity Assessments - Managing Forest Ecosystems ◽

Prospects for Harmonized Biodiversity Assessments Using National Forest Inventory Data

10.1007/978-94-007-0482-4_3 ◽

2010 ◽

pp. 41-97 ◽

Cited By ~ 5

Author(s):

Ronald E. McRoberts ◽

Gherardo Chirici ◽

Susanne Winter ◽

Anna Barbati ◽

Piermaria Corona ◽

...

Keyword(s):

Forest Inventory ◽

National Forest ◽

Inventory Data ◽

Modeling individual tree height growth of Norway spruce and Scots pine from national forest inventory data in Norway

Scandinavian Journal of Forest Research ◽

10.1080/02827581.2016.1269944 ◽

2016 ◽

Vol 32 (6) ◽

pp. 501-514 ◽

Cited By ~ 5

Author(s):

Ram P. Sharma ◽

Andreas Brunner

Keyword(s):

Norway Spruce ◽

Forest Inventory ◽

Tree Height ◽

Height Growth ◽

National Forest ◽

Inventory Data ◽

Individual Tree ◽

Forest Inventory Data ◽

Tree Height Growth

Recent changes in forest productivity: An analysis of national forest inventory data for common beech (Fagus sylvatica L.) in north-eastern France

Forest Ecology and Management ◽

10.1016/j.foreco.2010.06.005 ◽

2010 ◽

Vol 260 (5) ◽

pp. 864-874 ◽

Cited By ~ 88

Author(s):

M. Charru ◽

I. Seynave ◽

F. Morneau ◽

J.-D. Bontemps

Keyword(s):

Fagus Sylvatica ◽

Forest Inventory ◽

Forest Productivity ◽

National Forest ◽

Inventory Data ◽

Forest Inventory Data ◽

Common Beech ◽

North Eastern ◽

Fagus Sylvatica L

Assessing and modelling the status and dynamics of deadwood through national forest inventory data in Spain

Forest Ecology and Management ◽

10.1016/j.foreco.2015.10.029 ◽

2016 ◽

Vol 360 ◽

pp. 297-310 ◽

Cited By ~ 6

Author(s):

F. Crecente-Campo ◽

M. Pasalodos-Tato ◽

I. Alberdi ◽

L. Hernández ◽

J.J. Ibañez ◽

...

Keyword(s):

Forest Inventory ◽

National Forest ◽

Inventory Data ◽

Forest Inventory Data ◽

The Status

Constrained Functional Regression of National Forest Inventory Data over Time Using Remote Sensing Observations

Journal of the American Statistical Association ◽

10.1080/01621459.2020.1860769 ◽

2020 ◽

pp. 1-29

Author(s):

Md Kamrul Hasan Khan ◽

Avishek Chakraborty ◽

Giovanni Petris ◽

Barry T. Wilson

Keyword(s):

Remote Sensing ◽

Forest Inventory ◽

National Forest ◽

Functional Regression ◽

Inventory Data ◽

Forest Inventory Data ◽

Over Time

Mangrove Species Mapping and Above-Ground Biomass Estimation in Suriname Based on Fused Sentinel-1 and Sentinel-2 Imagery and National Forest Inventory Data

10.1109/igarss47720.2021.9555037 ◽

2021 ◽

Author(s):

Jasper Feyen ◽

Gianni Wip ◽

Sarah Crabbe ◽

Verginia Wortel ◽

Suci Puspita Sari ◽

...

Keyword(s):

Forest Inventory ◽

Biomass Estimation ◽

National Forest ◽

Above Ground Biomass ◽

Inventory Data ◽

Mangrove Species ◽

Forest Inventory Data ◽

Species Mapping ◽

Sentinel 2

Estimating Wildfire Fuel Load of Coarse Woody Debris using National Forest Inventory Data in South Korea

Journal of Climate Change Research ◽

10.15531/ksccr.2015.6.3.185 ◽

2015 ◽

Vol 6 (3) ◽

pp. 185

Author(s):

Suwon Choi ◽

Jongyeol Lee ◽

Seung Hyun Han ◽

Seongjun Kim ◽

Yowhan Son

Keyword(s):

South Korea ◽

Coarse Woody Debris ◽

Forest Inventory ◽

Woody Debris ◽

Fuel Load ◽

National Forest ◽

Inventory Data ◽

Evaluating the potential of an individual-tree sampling strategy for dendroecological investigations using the Italian National Forest Inventory data

Dendrochronologia ◽

10.1016/j.dendro.2016.03.011 ◽

2016 ◽

Vol 38 ◽

pp. 90-97 ◽

Cited By ~ 6

Author(s):

Michal Bosela ◽

Patrizia Gasparini ◽

Lucio Di Cosmo ◽

Barbara Parisse ◽

Flora De Natale ◽

...

Keyword(s):

Forest Inventory ◽

Sampling Strategy ◽

National Forest ◽

Inventory Data ◽

Individual Tree ◽

Reconstructing past forest composition and abundance by using archived Landsat and national forest inventory data

International Journal of Remote Sensing ◽

10.1080/01431161.2019.1711245 ◽

2020 ◽

Vol 41 (10) ◽

pp. 4022-4056 ◽

Cited By ~ 1

Author(s):

Bina Thapa ◽

Peter T. Wolter ◽

Brian R. Sturtevant ◽

Philip A. Townsend

Keyword(s):

Forest Inventory ◽

Forest Composition ◽

National Forest ◽

Inventory Data ◽

Modelling the standing timber volume of Baden-Württemberg—A large-scale approach using a fusion of Landsat, airborne LiDAR and National Forest Inventory data

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2016.02.004 ◽

2016 ◽

Vol 49 ◽

pp. 107-116 ◽

Cited By ~ 15

Author(s):

Joachim Maack ◽

Marcus Lingenfelder ◽

Holger Weinacker ◽

Barbara Koch

Keyword(s):

Forest Inventory ◽

Large Scale ◽

Airborne Lidar ◽

National Forest ◽

Inventory Data ◽

Timber Volume ◽

Forest Inventory Data ◽

Standing Timber