A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach
Formats available
You can view the full content in the following formats:
References
White, J.C., Wulder, M.A., Varhola, A., Vastaranta, M., Coops, N.C., Cook, B.D., Pitt, D, Woods, M. 2013. A best practices guide for generating forest inventory attributes from airborne laser scanning data using the area-based approach. Information Report FI-X-10. Natural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, Pacific Forestry Centre, Victoria, BC. 50 p. Available online: http://cfs.nrcan.gc.ca/publications?id%26hairsp%3B=%26hairsp%3B34887.
Woods M., Pitt D., Penner M., Lim K., Nesbitt D., Etheridge D., and Treitz P. Operational implementation of a LiDAR inventory in boreal Ontario The Forestry Chronicle 2011 87 4 512 -528
Wulder M.A., Bater C.W., Coops N.C., Hilker T., and White J.C. The role of LiDAR in sustainable forest management The Forestry Chronicle 2008 84 6 807 -826
Information & Authors
Information
Published In
The Forestry Chronicle
Volume 89 • Number 06 • December 2013
Pages: 722 - 723
History
Version of record online: 20 December 2013
Copyright
© 2013.
Authors
Metrics & Citations
Metrics
Other Metrics
Citations
Cite As
WhiteJoanne C., WulderMichael A., VarholaAndrés, VastarantaMikko, CoopsNicholas C., CookBruce D., PittDoug, and WoodsMurray. 2013. A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach. The Forestry Chronicle.
89(06): 722-723. https://doi.org/10.5558/tfc2013-132
Export Citations
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
1. Advances in Laser Scanning to Assess Carbon in Forests: From Ground-Based to Space-Based Sensors
2. Optimal integration of forest inventory data and aerial image-based canopy height models for forest stand management
3. Integrating multi-source remote sensing data and machine learning for predicting tree density and cover in Argania spinosa
4. Site index determination using a time series of airborne laser scanning data
5. Modelling multi-layer fine fuel loads in temperate eucalypt forests using airborne LiDAR and inventory data
6. Utility of UAS-LIDAR for estimating forest structural attributes of the Miombo woodlands in Zambia
7. Forest practitioners’ requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products
8. Quantifying the drivers of tree mortality: A case study from urban recreational boreal forest
9. Canopy and surface fuel estimations using RPAS and ground-based point clouds
10. Using Opals Program System and Sparse CNN Model in Processing and Classifying Airborne Laser Scanning Data
11. Updating Forest Stand Inventories: Integration of Photo-Interpreted and Airborne Laser Scanning Forest Attributes Using Generic Region Merging Segmentation and kNN Imputation
12. Mapping recent timber harvest activity in a temperate forest using single date airborne LiDAR surveys and machine learning: lessons for conservation planning
13. Developing kNN forest data imputation for Catalonia
14. A Review of Software Solutions to Process Ground-based Point Clouds in Forest Applications
15. Characterizing forest structural changes in response to non-stand replacing disturbances using bitemporal airborne laser scanning data
16. An open dataset for individual tree detection in UAV LiDAR point clouds and RGB orthophotos in dense mixed forests
17. Exploring UAS-lidar as a sampling tool for satellite-based AGB estimations in the Miombo woodland of Zambia
18. Rekreasyonun Psikolojik Faydasının Memnuniyet ve Tekrar Ziyaret Etme Üzerindeki Rolü
19. Does It Matter Whether to Use Circular or Square Plots in Forest Inventories? A Multivariate Comparison
20. Development of a Methodology Based on ALS Data and Diameter Distribution Simulation to Characterize Management Units at Tree Level
21. Chasing success: A review of vegetation indicators used in riparian ecosystem restoration monitoring
22. Assessing the potential of synthetic and
ex situ
airborne laser scanning and ground plot data to train forest biomass models
23. Development and implementation of a stand-level satellite-based forest inventory for Canada
24. Significant increase in forest canopy mortality in boreal forests in Southeast Finland
25. Mapping Forest Growing Stock and Its Current Annual Increment Using Random Forest and Remote Sensing Data in Northeast Italy
26. Influence of Main Flight Parameters on the Performance of Stand-Level Growing Stock Volume Inventories Using Budget Unmanned Aerial Vehicles
27. An Exploration of Properties of Point Clouds of Individual Trees Extracted From a Larger UAV Lidar Survey
28. Improving the Accuracy of Aboveground Biomass Estimation of Natural Secondary Forests Using Individual Tree Features
29. Evaluating the performance of airborne and spaceborne lidar for mapping biomass in the United States' largest dry woodland ecosystem
30. Examining the Impacts of Pre-Fire Forest Conditions on Burn Severity Using Multiple Remote Sensing Platforms
31. Characterizing post-fire northern boreal forest height dynamics
32. Climate sensitive growth and yield models in Canadian forestry: Challenges and opportunities
33. Temporal-Like Bivariate Fay-Herriot Model: Leveraging Past Responses and Advanced Preprocessing for Enhanced Small Area Estimation of Growing Stock Volume
34. Enhanced watershed status evaluation: Towards an integrated framework to assess fish habitat in forested watersheds using airborne laser scanning data
35. Characterization of forest edge structure from airborne laser scanning data
36. Tree Species Classification Based on Upper Crown Morphology Captured by Uncrewed Aircraft System Lidar Data
37. Detecting and excluding disturbed forest areas improves site index determination using bitemporal airborne laser scanner data
38. Automated characterization of forest canopy vertical layering for predicting forest inventory attributes by layer using airborne LiDAR data
39. Estimating tree species composition from airborne laser scanning data using point-based deep learning models
40. Sensitivity of P- and L-Band SAR Tomography to Above-Ground Biomass in a Hilly Temperate Forest
41. A Novel Method for Estimating Fine Fuel Loads in Vertical Forest Layers with Airborne Lidar
42. Estimating Fine Fuel Loads in Vertical Forest Layers with Airborne Lidar and Forest Inventory Data
43. Airborne laser scanning to optimize the sampling efficiency of a forest management inventory in South-Eastern Germany
44. Effect of sample size on the estimation of forest inventory attributes using airborne LiDAR data in large-scale subtropical areas
45. Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator
46. Estimating the extent of selective timber harvesting in private native eucalypt forests with multi-temporal lidar
47. Assessing biodiversity using forest structure indicators based on airborne laser scanning data
48. Modelling height growth of temperate mixedwood forests using an age-independent approach and multi-temporal airborne laser scanning data
49. Picturing local adaptation: Spectral and structural traits from drone remote sensing reveal clinal responses to climate transfer in common‐garden trials of interior spruce (
Picea engelmannii
×
glauca
)
50. Mapping Dominant Boreal Tree Species Groups by Combining Area-Based and Individual Tree Crown LiDAR Metrics with Sentinel-2 Data
51. sgsR
: a structurally guided sampling toolbox for LiDAR-based forest inventories
52. Site Index Curves for Abies borisii-regis Mattf. and Fagus sylvatica L. Mixed Stands in Central Greece
53. Sample Plots Forestry Parameters Verification and Updating Using Airborne LiDAR Data
54. Identification of the Forest Cover Growth on Landscape Level from Aerial Laser Scanning Data
55. Positive effects of projected climate change on post-disturbance forest regrowth rates in northeastern North American boreal forests
56. Framework for near real-time forest inventory using multi source remote sensing data
57. Diameter, height and species of 42 million trees in three European landscapes generated from field data and airborne laser scanning data
58. A Note on Statistical Techniques and Biological Background in Analysis of Remote Sensed Data in Forest Inventory
59. Quantifying Tree Mortality Drivers - a Case Study in a Boreal Forest
60. Positive effects of projected climate change on post-disturbance forest regrowth rates in northeastern North American boreal forests
61. Modelling temporal change in inventory attributes from a LiDAR-derived inventory for the United Counties of Prescott and Russell, Ontario: A comparison of random forest and linear regression methods
62. Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages
63. Detecting overmature forests with airborne laser scanning (
ALS
)
64. Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning
65. Patterns and controls on island‐wide aboveground biomass accumulation in second‐growth forests of Puerto Rico
66. Evaluating the Impacts of Flying Height and Forward Overlap on Tree Height Estimates Using Unmanned Aerial Systems
67. Characterizing the calibration domain of remote sensing models using convex hulls
68. Identification of Old-Growth Mediterranean Forests Using Airborne Laser Scanning and Geostatistical Analysis
69. Estimating tree Diameter at Breast Height (DBH) using an iPad Pro LiDAR sensor
70. Extrapolation Assessment for Forest Structural Parameters in Planted Forests of Southern China by UAV-LiDAR Samples and Multispectral Satellite Imagery
71. Using Airborne Lidar, Multispectral Imagery, and Field Inventory Data to Estimate Basal Area, Volume, and Aboveground Biomass in Heterogeneous Mixed Species Forests: A Case Study in Southern Alabama
72. Evaluation of Forest Features Determining GNSS Positioning Accuracy of a Novel Low-Cost, Mobile RTK System Using LiDAR and TreeNet
73. Developing a forest inventory approach using airborne single photon lidar data: from ground plot selection to forest attribute prediction
74. Managing forests for old-growth attributes better promotes the provision of ecosystem services than current age-based old-growth management
75. Combining Area-Based and Individual Tree Metrics for Improving Merchantable and Non-Merchantable Wood Volume Estimates in Coastal Douglas-Fir Forests
76. LiDAR and multispectral imagery predict the occurrence of tree cavities suitable for a cavity‐nesting duck
77. Using Airborne LiDAR to Map Red Alder in the Sappho Long-Term Ecosystem Productivity Study
78. The changing culture of silviculture
79. Addressing Gender Inequities in Forest Science and Research
80. Improved k-NN Mapping of Forest Attributes in Northern Canada Using Spaceborne L-Band SAR, Multispectral and LiDAR Data
81. A Voxel-Based Individual Tree Stem Detection Method Using Airborne LiDAR in Mature Northeastern U.S. Forests
82. Balancing greenhouse gas sources and sinks: Inventories, budgets, and climate policy
83. Boreal forests
84. Estimation and calibration of stem diameter distribution using UAV laser scanning data: A case study for larch (Larix olgensis) forests in Northeast China
85. Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes
86. Predicting black spruce fuel characteristics with Airborne Laser Scanning (ALS)
87. A Comparison of Linear-Mode and Single-Photon Airborne LiDAR in Species-Specific Forest Inventories
88. A Comparison of Three Airborne Laser Scanner Types for Species Identification of Individual Trees
89. Tree species, crown cover, and age as determinants of the vertical distribution of airborne LiDAR returns
90. Modeling post-logging height growth of black spruce-dominated boreal forests by combining airborne LiDAR and time since harvest maps
91. Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Inventories for the Complex, Mixed-Species Forests of the Eastern United States
92. Comparison of UAS-Based Structure-from-Motion and LiDAR for Structural Characterization of Short Broadacre Crops
93. Detection and Quantification of Coarse Woody Debris in Natural Forest Stands Using Airborne LiDAR
94. CanopyShotNoise
– An individual-based tree canopy modelling framework for projecting remote-sensing data and ecological sensitivity analysis
95. Comparing airborne and spaceborne photon-counting LiDAR canopy structural estimates across different boreal forest types
96. Integrating Detailed Timber Assortments into Airborne Laser Scanning (ALS)-Based Assessments of Logging Recoveries
97. Prediction error aggregation behaviour for remote sensing augmented forest inventory approaches
98. Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends
99. Progrès dans l’application de la télédétection pour les besoins en matière d’information sur les forêts au Canada : leçons tirées d’une collaboration nationale d’intervenants universitaires, industriels et gouvernementaux
100. Integration of field sampling and LiDAR data in forest inventories: comparison of area-based approach and (lognormal) universal kriging
101. Evaluating the Performance of sUAS Photogrammetry with PPK Positioning for Infrastructure Mapping
102. Deriving internal crown geometric features of Douglas-fir from airborne laser scanning in a realized-gain trial
103. Estimating Changes in Forest Attributes and Enhancing Growth Projections: a Review of Existing Approaches and Future Directions Using Airborne 3D Point Cloud Data
104. Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective
105. Airborne lidar provides reliable estimates of canopy base height and canopy bulk density in southwestern ponderosa pine forests
106. FOSTER—An R package for forest structure extrapolation
107. Modeling post-logging height growth of black spruce forests by combining airborne LiDAR and historical forestry maps in eastern Canadian boreal forest
108. The development of allometric systems of equations for compatible area-based LiDAR-assisted estimation
109. Assessing single photon LiDAR for operational implementation of an enhanced forest inventory in diverse mixedwood forests
110. Deep Learning in Forest Structural Parameter Estimation Using Airborne LiDAR Data
111. Individual Tree Diameter Estimation in Small-Scale Forest Inventory Using UAV Laser Scanning
112. A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data
113. Classification of high-voltage power line structures in low density ALS data acquired over broad non-urban areas
114. Uncovering spatial and ecological variability in gap size frequency distributions in the Canadian boreal forest
115. Application of terrestrial laser scanning in forest inventory – an overview of selected issues
116. A Topographic Wetness Index for Forest Road Quality Assessment: An Application in the Lakeland Region of Finland
117. Modeling realized gains in Douglas-fir (Pseudotsuga menziesii) using laser scanning data from unmanned aircraft systems (UAS)
118. The Use of Remotely Sensed Data and Polish NFI Plots for Prediction of Growing Stock Volume Using Different Predictive Methods
119. Sample strategies for bias correction of regional LiDAR-assisted forest inventory Estimates on small woodlots
120. Evaluating the accuracy of ALS-based removal estimates against actual logging data
121. Assessing the transferability of airborne laser scanning and digital aerial photogrammetry derived growing stock volume models
122. A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA
123. Automated Method for Delineating Harvested Stands Based on Harvester Location Data
124. Detection of sub-canopy forest structure using airborne LiDAR
125. Forest Inventory and Diversity Attribute Modelling Using Structural and Intensity Metrics from Multi-Spectral Airborne Laser Scanning Data
126. Characterizing variations in growth characteristics between Douglas-fir with different genetic gain levels using airborne laser scanning
127. Digital Aerial Photogrammetry (DAP) and Airborne Laser Scanning (ALS) as Sources of Information about Tree Height: Comparisons of the Accuracy of Remote Sensing Methods for Tree Height Estimation
128. Comparison of stand characteristic parameters and biomass estimations from light detection and ranging and structure-from-motion point clouds
129. Optimizing Landsat time series length for regional mapping of lidar-derived forest structure
130. An Automatic UAV Based Segmentation Approach for Pruning Biomass Estimation in Irregularly Spaced Chestnut Orchards
131. Species discrimination and individual tree detection for predicting main dendrometric characteristics in mixed temperate forests by use of airborne laser scanning and ultra-high-resolution imagery
132. Predicting Carbon Accumulation in Temperate Forests of Ontario, Canada Using a LiDAR-Initialized Growth-and-Yield Model
133. Sensitivity Analysis of the DART Model for Forest Mensuration with Airborne Laser Scanning
134. The Petawawa Research Forest: Establishment of a remote sensing supersite
135. Influence of Sampling Design Parameters on Biomass Predictions Derived from Airborne LiDAR Data
136. Structure from Motion Photogrammetry in Forestry: a Review
137. Terrestrial laser scanner based 3D reconstruction of trees and retrieval of leaf area index in a forest environment
138. Challenges of Multi-Temporal and Multi-Sensor Forest Growth Analyses in a Highly Disturbed Boreal Mixedwood Forests
139. Classifications of Forest Change by Using Bitemporal Airborne Laser Scanner Data
140. Nearest neighbor imputation of logwood volumes using bi-temporal ALS, multispectral ALS and aerial images
141. Pléiades satellite images for deriving forest metrics in the Alpine region
142. Mapping Forest Height from TanDEM-X Interferometric Coherence Data in Northwest Territories, Canada
143. Estimación de la distribución vertical de combustibles finos del dosel de copas en masas de Pinus sylvestris empleando datos LiDAR de baja densidad
144. Remote sensing for the Spanish forests in the 21st century: a review of advances, needs, and opportunities
145. Extending ALS-Based Mapping of Forest Attributes with Medium Resolution Satellite and Environmental Data
146. Comparison of two-dimensional multitemporal Sentinel-2 data with three-dimensional remote sensing data sources for forest inventory parameter estimation over a boreal forest
147. Examining the Multi-Seasonal Consistency of Individual Tree Segmentation on Deciduous Stands Using Digital Aerial Photogrammetry (DAP) and Unmanned Aerial Systems (UAS)
148. Predicting Forest Inventory Attributes Using Airborne Laser Scanning, Aerial Imagery, and Harvester Data
149. Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Forest Inventories
150. Forest Site and Type Variability in ALS-Based Forest Resource Inventory Attribute Predictions over Three Ontario Forest Sites
151. Detection of coarse woody debris using airborne light detection and ranging (LiDAR)
152. Prediction of Diameter Distributions with Multimodal Models Using LiDAR Data in Subtropical Planted Forests
153. Biomass Accumulation and Carbon Sequestration in an Age-Sequence of Mongolian Pine Plantations in Horqin Sandy Land, China
154. Ecologically-Based Metrics for Assessing Structure in Developing Area-Based, Enhanced Forest Inventories from LiDAR
155. Evaluation of Ground Surface Models Derived from Unmanned Aerial Systems with Digital Aerial Photogrammetry in a Disturbed Conifer Forest
156. Most similar neighbor imputation of forest attributes using metrics derived from combined airborne LIDAR and multispectral sensors
157. Digital aerial photogrammetry for assessing cumulative spruce budworm defoliation and enhancing forest inventories at a landscape-level
158. Evaluating the robustness of point clouds from small format aerial photography over a
Pinus radiata
plantation
159. Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations
160. Landscape‐scale lidar analysis of aboveground biomass distribution in secondary Brazilian Atlantic Forest
161. Updating stand-level forest inventories using airborne laser scanning and Landsat time series data
162. Forecasting Forest Inventory Using Imputed Tree Lists for LiDAR Grid Cells and a Tree-List Growth Model
163. Reducing Uncertainty in Mapping of Mangrove Aboveground Biomass Using Airborne Discrete Return Lidar Data
164. The Use of Three-Dimensional Convolutional Neural Networks to Interpret LiDAR for Forest Inventory
165. Comparing nearest neighbor configurations in the prediction of species-specific diameter distributions
166. High Resolution Site Index Prediction in Boreal Forests Using Topographic and Wet Areas Mapping Attributes
167. Shrub detection using disparate airborne laser scanning acquisitions over varied forest cover types
168. Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling
169. Airborne laser scanning for tree diameter distribution modelling: a comparison of different modelling alternatives in a tropical single-species plantation
170. Predicting Volume and Biomass Change from Multi-Temporal Lidar Sampling and Remeasured Field Inventory Data in Panther Creek Watershed, Oregon, USA
171. Using canopy heights from digital aerial photogrammetry to enable spatial transfer of forest attribute models: a case study in central Europe
172. Comparison of UAS photogrammetric products for tree detection and characterization of coniferous stands
173. A space-time data cube: Multi-temporal forest structure maps from landsat and lidar
174. Tree Density and Forest Productivity in a Heterogeneous Alpine Environment: Insights from Airborne Laser Scanning and Imaging Spectroscopy
175. Comparing Airborne Laser Scanning, and Image-Based Point Clouds by Semi-Global Matching and Enhanced Automatic Terrain Extraction to Estimate Forest Timber Volume
176. Updating residual stem volume estimates using ALS- and UAV-acquired stereo-photogrammetric point clouds
177. Imputing Tree Lists for New Brunswick Spruce Plantations Through Nearest-Neighbor Matching of Airborne Laser Scan and Inventory Plot Data
178. Suitability of airborne laser scanning for the assessment of forest protection effect against rockfall
179. Unmanned aerial systems for precision forest inventory purposes: A review and case study
180. Errors in the Short-Term Forest Resource Information Update
181. Forest Management Planning in Mixed-Species Forests
182. Knowledge Exchange in the Canadian Wood Fibre Centre: National scope with regional delivery
183. Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon
184. Enhancing Forest Growth and Yield Predictions with Airborne Laser Scanning Data: Increasing Spatial Detail and Optimizing Yield Curve Selection through Template Matching
185. Biomass Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodland
186. Airborne laser scanning for modelling understory shrub abundance and productivity
187. Remote Sensing Technologies for Enhancing Forest Inventories: A Review
188. Influence of Prediction Cell Size on LiDAR-Derived Area-Based Estimates of Total Volume in Mixed-Species and Multicohort Forests in Northeastern North America
189. Dense Canopy Height Model from a low-cost photogrammetric platform and LiDAR data
190. The effect of TLS point cloud sampling on tree detection and diameter measurement accuracy
191. Development of an automated individual tree detection model using point cloud LiDAR data for accurate tree counts in a
Pinus radiata
plantation
192. Development of models for forest variable estimation from airborne laser scanning data using an area-based approach at a plot level
193. Airborne laser altimetry and multispectral imagery for modeling Golden‐cheeked Warbler (
Setophaga chrysoparia
) density
194. Forest stand age classification using time series of photogrammetrically derived digital surface models
195. Using multi-source data to map and model the predisposition of forests to wind disturbance
196. Canada
197. Characterization of Forests with LiDAR Technology
198. Use of WorldView-2 stereo imagery and National Forest Inventory data for wall-to-wall mapping of growing stock
199. Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest
200. Forest canopy-structure characterization: A data-driven approach
201. Effects of field plot size on prediction accuracy of aboveground biomass in airborne laser scanning-assisted inventories in tropical rain forests of Tanzania
202. Application of LiDAR data to maximise the efficiency of inventory plots in softwood plantations
203. Comparing ALS and Image-Based Point Cloud Metrics and Modelled Forest Inventory Attributes in a Complex Coastal Forest Environment
204. Enriching ALS-Derived Area-Based Estimates of Volume through Tree-Level Downscaling
205. Sparse Density, Leaf-Off Airborne Laser Scanning Data in Aboveground Biomass Component Prediction
206. Evaluation of a Smartphone App for Forest Sample Plot Measurements
207. Deriving canopy metrics of urban trees from airborne laser scanning data
208. Allocating tree crown pruning with ALS-data - A case study in the city of Helsinki
209. Impact of local slope and aspect assessed from LiDAR records on tree diameter in radiata pine (Pinus radiata D. Don) plantations
210. Outlook for the Next Generation’s Precision Forestry in Finland
211. Validating estimates of merchantable volume from airborne laser scanning (ALS) data using weight scale data
212. Analysis of the Influence of Plot Size and LiDAR Density on Forest Structure Attribute Estimates
213. Assessment of Low Density Full-Waveform Airborne Laser Scanning for Individual Tree Detection and Tree Species Classification
214. Highly Accurate Tree Models Derived from Terrestrial Laser Scan Data: A Method Description
View Options
View options
Login options
Check if you access through your login credentials or your institution to get full access on this article.
