Related references
Note: Only part of the references are listed.The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy
Martin Herold et al.
SURVEYS IN GEOPHYSICS (2019)
Object-Based Classification of Forest Disturbance Types in the Conterminous United States
Lian-Zhi Huo et al.
REMOTE SENSING (2019)
Age-independent site index mapping with repeated single-tree airborne laser scanning
Svein Solberg et al.
SCANDINAVIAN JOURNAL OF FOREST RESEARCH (2019)
The Importance of Consistent Global Forest Aboveground Biomass Product Validation
L. Duncanson et al.
SURVEYS IN GEOPHYSICS (2019)
Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data
Ole Martin Bollandsas et al.
REMOTE SENSING (2019)
Direct and indirect site index determination for Norway spruce and Scots pine using bitemporal airborne laser scanner data
Lennart Noordermeer et al.
FOREST ECOLOGY AND MANAGEMENT (2018)
Effects of terrain slope and aspect on the error of ALS-based predictions of forest attributes
Hans Ole Orka et al.
FORESTRY (2018)
Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux
Kaiguang Zhao et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Influence of land use change on the ecosystem service trade-offs in the ecological restoration area: Dynamics and scenarios in the Yanhe watershed, China
Siqi Yang et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Global mismatch of policy and research on drivers of biodiversity loss
Tessa Mazor et al.
NATURE ECOLOGY & EVOLUTION (2018)
Classification of annual non-stand replacing boreal forest change in Canada using Landsat time series: a case study in northern Ontario
Oumer S. Ahmed et al.
REMOTE SENSING LETTERS (2017)
Forest disturbances under climate change
Rupert Seidl et al.
NATURE CLIMATE CHANGE (2017)
Natural disturbance impacts on ecosystem services and biodiversity in temperate and boreal forests
Dominik Thom et al.
BIOLOGICAL REVIEWS (2016)
The role of European National Forest Inventories for international forestry reporting
Claude Vidal et al.
ANNALS OF FOREST SCIENCE (2016)
Remote Sensing Technologies for Enhancing Forest Inventories: A Review
Joanne C. White et al.
CANADIAN JOURNAL OF REMOTE SENSING (2016)
Classification of multilayered forest development classes from low-density national airborne lidar datasets
Ruben Valbuena et al.
FORESTRY (2016)
A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data
Gherardo Chirici et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Remote Sensing Technologies for Enhancing Forest Inventories: A Review
Joanne C. White et al.
CANADIAN JOURNAL OF REMOTE SENSING (2016)
Large Area Mapping of Annual Land Cover Dynamics Using Multitemporal Change Detection and Classification of Landsat Time Series Data
Steven E. Franklin et al.
CANADIAN JOURNAL OF REMOTE SENSING (2015)
Representative regional models of post-disturbance forest carbon accumulation: Integrating inventory data and a growth and yield model
Crystal L. Raymond et al.
FOREST ECOLOGY AND MANAGEMENT (2015)
Spatial patterns of agricultural expansion determine impacts on biodiversity and carbon storage
Rebecca Chaplin-Kramer et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)
Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics
Txomin Hermosilla et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Modeling and predicting aboveground biomass change in young forest using multi-temporal airborne laser scanner data
Roar Okseter et al.
SCANDINAVIAN JOURNAL OF FOREST RESEARCH (2015)
Large Area Mapping of Annual Land Cover Dynamics Using Multitemporal Change Detection and Classification of Landsat Time Series Data
Steven E. Franklin et al.
CANADIAN JOURNAL OF REMOTE SENSING (2015)
Airborne laser scanner-assisted estimation of aboveground biomass change in a temperate oak-pine forest
Nicholas S. Skowronski et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Forest stand delineation from lidar point-clouds using local maxima of the crown height model and region merging of the corresponding Voronoi cells
Kenneth Olofsson et al.
REMOTE SENSING LETTERS (2014)
Forest delineation based on LiDAR data and vertical accuracy of the terrain model in forest and non-forest area
Ivan Sačkov et al.
Annals of Forest Research (2014)
A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach
Joanne C. White et al.
FORESTRY CHRONICLE (2013)
Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error
Joseph O. Sexton et al.
INTERNATIONAL JOURNAL OF DIGITAL EARTH (2013)
Model-assisted estimation of change in forest biomass over an 11 year period in a sample survey supported by airborne LiDAR: A case study with post-stratification to provide activity data
Erik Naesset et al.
REMOTE SENSING OF ENVIRONMENT (2013)
High-Resolution Global Maps of 21st-Century Forest Cover Change
M. C. Hansen et al.
SCIENCE (2013)
Change detection of mountain birch using multi-temporal ALS point clouds
Mattias Nystrom et al.
REMOTE SENSING LETTERS (2013)
Small area estimation of forest attributes in the Norwegian National Forest Inventory
Johannes Breidenbach et al.
EUROPEAN JOURNAL OF FOREST RESEARCH (2012)
Estimating forest attribute parameters for small areas using nearest neighbors techniques
Ronald E. McRoberts
FOREST ECOLOGY AND MANAGEMENT (2012)
Assessing the Performance of Classification Methods
David J. Hand
INTERNATIONAL STATISTICAL REVIEW (2012)
Estimating forest biomass and identifying low-intensity logging areas using airborne scanning lidar in Antimary State Forest, Acre State, Western Brazilian Amazon
Marcus V. N. d'Oliveira et al.
REMOTE SENSING OF ENVIRONMENT (2012)
Forest Delineation Based on Airborne LIDAR Data
Lothar Eysn et al.
REMOTE SENSING (2012)
Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway
Goran Stahl et al.
CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE (2011)
Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, Norway
Timothy G. Gregoire et al.
CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE (2011)
Characterizing Forest Succession in Central Ontario using Lidar-derived Indices
Karin Y. van Ewijk et al.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2011)
Estimation of Aboveground Biomass in Alpine Forests: A Semi-Empirical Approach Considering Canopy Transparency Derived from Airborne LiDAR Data
Andreas Jochem et al.
SENSORS (2011)
Neural Networks for the Prediction of Species-Specific Plot Volumes Using Airborne Laser Scanning and Aerial Photographs
Harri Niska et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2010)
Mapping gap fraction, LAI and defoliation using various ALS penetration variables
Svein Solberg
INTERNATIONAL JOURNAL OF REMOTE SENSING (2010)
An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks
Chengquan Huang et al.
REMOTE SENSING OF ENVIRONMENT (2010)
Characterizing forest succession with lidar data: An evaluation for the Inland Northwest, USA
Michael J. Falkowski et al.
REMOTE SENSING OF ENVIRONMENT (2009)
Assessing effects of laser point density, ground sampling intensity, and field sample plot size on biophysical stand properties derived from airborne laser scanner data
Terje Gobakken et al.
CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE (2008)
Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser
Erik Naesset et al.
REMOTE SENSING OF ENVIRONMENT (2008)
Airborne laser scanning as a method in operational forest inventory: Status of accuracy assessments accomplished in Scandinavia
Erik Naesset
SCANDINAVIAN JOURNAL OF FOREST RESEARCH (2007)
Change detection techniques for canopy height growth measurements using airborne laser scanner data
Xiaowei Yu et al.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2006)
Nonparametric estimation of stem volume using airborne laser scanning, aerial photography, and stand-register data
M Maltamo et al.
CANADIAN JOURNAL OF FOREST RESEARCH (2006)
Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training data
ZJ Bortolot et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2005)
Decision tree regression for soft classification of remote sensing data
M Xu et al.
REMOTE SENSING OF ENVIRONMENT (2005)
Estimating forest growth using canopy metrics derived from airborne laser scanner data
E Næsset et al.
REMOTE SENSING OF ENVIRONMENT (2005)
Automatic detection of harvested trees and determination of forest growth using airborne laser scanning
XW Yu et al.
REMOTE SENSING OF ENVIRONMENT (2004)
Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
E Næsset
SCANDINAVIAN JOURNAL OF FOREST RESEARCH (2004)
Accuracy of forest inventory using airborne laser scanning: Evaluating the first Nordic full-scale operational project
E Naesset
SCANDINAVIAN JOURNAL OF FOREST RESEARCH (2004)
Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data
E Næsset
REMOTE SENSING OF ENVIRONMENT (2002)
Disturbances and structural development of natural forest ecosystems with silvicultural implications, using Douglas-fir forests as an example
JF Franklin et al.
FOREST ECOLOGY AND MANAGEMENT (2002)
Characterizing 23 years (1972-95) of stand replacement disturbance in western Oregon forests with Landsat imagery
WB Cohen et al.
ECOSYSTEMS (2002)