Estimating biomass in Hedmark County, Norway using national forest inventory field plots and airborne laser scanning-Reference-Cited by-同舟云学术

Estimating biomass in Hedmark County, Norway using national forest inventory field plots and airborne laser scanning

Published:2012-08 Issue: Volume:123 Page:443-456
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Gobakken Terje,Næsset Erik,Nelson Ross,Bollandsås Ole Martin,Gregoire Timothy G.,Ståhl Göran,Holm Sören,Ørka Hans Ole,Astrup Rasmus

Funder

Research Council of Norway

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference72 articles.

1. Using airborne light detection and ranging as a sampling tool for estimating forest biomass resources in the Upper Tanana Valley of interior Alaska;Andersen;Western Journal of Applied Forestry,2011

2. Estimating forest biomass on the western lowlands of the Kenai Peninsula of Alaska using airborne lidar and field plot data in a model-assisted sampling design;Andersen,2009

3. Pinnacle user's manual;Anonymous,1999

4. SAS/STAT 9.1 User's guide;Anonymous,2004

5. TerraScan user's guide;Anonymous,2005

Cited by 104 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Two-stage, model-assisted estimation using remotely sensed auxiliary data;Remote Sensing of Environment;2024-06

2. Computation of prediction intervals for forest aboveground biomass predictions using generalized linear models in a large-extent boreal forest region;Forestry: An International Journal of Forest Research;2024-03-09

3. Estimation of Above-Ground Forest Biomass in Nepal by the Use of Airborne LiDAR, and Forest Inventory Data;Land;2024-02-08

4. Handling Single-Year Big Data in Forest Inventory Systems Based on Remote Sensing and Multi-Temporal Data Assimilation;2024

5. Stratification of vertical canopy structure to improve estimation of forest inventory attributes using airborne LiDAR data in a large subtropical region of China;Annals of Forest Research;2023-12-31