Characterising forest structure using combinations of airborne laser scanning data, RapidEye satellite imagery and environmental variables
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Characterising forest structure using combinations of airborne laser scanning data, RapidEye satellite imagery and environmental variables
Authors
Keywords
-
Journal
FORESTRY
Volume 89, Issue 2, Pages 159-169
Publisher
Oxford University Press (OUP)
Online
2015-12-15
DOI
10.1093/forestry/cpv048
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Methods for estimating multivariate stand yields and errors using k-NN and aerial laser scanning
- (2015) J. P. Dash et al. FORESTRY
- Model-assisted estimation of growing stock volume using different combinations of LiDAR and Landsat data as auxiliary information
- (2015) Svetlana Saarela et al. REMOTE SENSING OF ENVIRONMENT
- Modeling forest biomass using Very-High-Resolution data—Combining textural, spectral and photogrammetric predictors derived from spaceborne stereo images
- (2015) Joachim Maack et al. European Journal of Remote Sensing
- yaImpute: AnRPackage forkNN Imputation
- (2015) Nicholas L. Crookston et al. Journal of Statistical Software
- Predicting site index of plantation loblolly pine from biophysical variables
- (2014) Charles O. Sabatia et al. FOREST ECOLOGY AND MANAGEMENT
- Evaluation of the spatial linear model, random forest and gradient nearest-neighbour methods for imputing potential productivity and biomass of the Pacific Northwest forests
- (2014) H. Temesgen et al. FORESTRY
- Estimation of forest structural information using RapidEye satellite data
- (2014) A. Wallner et al. FORESTRY
- Integration of Lidar and Landsat Data to Estimate Forest Canopy Cover in Coastal British Columbia
- (2014) Oumer S. Ahmed et al. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
- Thek-nearest neighbor technique with local linear regression
- (2014) Steen Magnussen et al. SCANDINAVIAN JOURNAL OF FOREST RESEARCH
- Comparing parametric and non-parametric modelling of diameter distributions on independent data using airborne laser scanning in a boreal conifer forest
- (2013) O. M. Bollandsas et al. FORESTRY
- Pine plantation structure mapping using WorldView-2 multispectral image
- (2013) Ali Shamsoddini et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Development of a national model of Pinus radiata stand volume from lidar metrics for New Zealand
- (2013) Pete Watt et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Estimating Aboveground Carbon of Moso Bamboo Forests Using the k Nearest Neighbors Technique and Satellite Imagery
- (2013) Guomo Zhou et al. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
- Modeling Stand Height, Volume, and Biomass from Very High Spatial Resolution Satellite Imagery and Samples of Airborne LiDAR
- (2013) Brice Mora et al. Remote Sensing
- Use of regression kriging to develop a Carbon:Nitrogen ratio surface for New Zealand
- (2012) Michael S. Watt et al. GEODERMA
- Evaluation of most similar neighbour and random forest methods for imputing forest inventory variables using data from target and auxiliary stands
- (2012) Hooman Latifi et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Forest structure modeling with combined airborne hyperspectral and LiDAR data
- (2012) Hooman Latifi et al. REMOTE SENSING OF ENVIRONMENT
- Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data
- (2012) Ole Martin Bollandsås et al. Statistical Methods and Applications
- ALS-based estimation of plot volume and site index in a eucalyptus plantation with a nonlinear mixed-effect model that accounts for the clone effect
- (2011) Petteri Packalén et al. ANNALS OF FOREST SCIENCE
- Predicting forest structural parameters using the image texture derived from WorldView-2 multispectral imagery in a dryland forest, Israel
- (2011) Ibrahim Ozdemir et al. International Journal of Applied Earth Observation and Geoinformation
- Airborne scanning LiDAR in a double sampling forest carbon inventory
- (2011) Peter R. Stephens et al. REMOTE SENSING OF ENVIRONMENT
- Development of models to predict Pinus radiata productivity throughout New Zealand
- (2010) Michael S. Watt et al. CANADIAN JOURNAL OF FOREST RESEARCH
- Comparison of nearest neighbour approaches for small area estimation of tree species-specific forest inventory attributes in central Europe using airborne laser scanner data
- (2010) Johannes Breidenbach et al. EUROPEAN JOURNAL OF FOREST RESEARCH
- Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
- (2010) Jari Vauhkonen et al. REMOTE SENSING OF ENVIRONMENT
- Using remotely sensed data to construct and assess forest attribute maps and related spatial products
- (2010) Ronald E. McRoberts et al. SCANDINAVIAN JOURNAL OF FOREST RESEARCH
- Mapping wildland fuels and forest structure for land management: a comparison of nearest neighbor imputation and other methods
- (2009) Kenneth B. Pierce et al. CANADIAN JOURNAL OF FOREST RESEARCH
- Conditional Variable Importance for Random Forests
- (2008) Carolin Strobl et al. BMC BIOINFORMATICS
- Estimating stem volume by tree crown area and tree shadow area extracted from pan‐sharpened Quickbird imagery in open Crimean juniper forests
- (2008) I. Ozdemir INTERNATIONAL JOURNAL OF REMOTE SENSING
- Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data
- (2008) Andrew T. Hudak et al. REMOTE SENSING OF ENVIRONMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started