The Utility of Image-Based Point Clouds for Forest Inventory: A Comparison with Airborne Laser Scanning
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
The Utility of Image-Based Point Clouds for Forest Inventory: A Comparison with Airborne Laser Scanning
Authors
Keywords
-
Journal
Forests
Volume 4, Issue 3, Pages 518-536
Publisher
MDPI AG
Online
2013-06-27
DOI
10.3390/f4030518
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Examining the effects of sampling point densities on laser canopy height and density metrics
- (2014) K. Lim et al. FORESTRY CHRONICLE
- The role of LiDAR in sustainable forest management
- (2014) Michael A Wulder et al. FORESTRY CHRONICLE
- Forest inventory research at the Canadian Wood Fibre Centre: Notes from a research coordination workshop, June 3–4, 2009, Pointe Claire, QC
- (2014) Doug Pitt et al. FORESTRY CHRONICLE
- Operational implementation of a LiDAR inventory in Boreal Ontario
- (2014) Murray Woods et al. FORESTRY CHRONICLE
- Point Clouds
- (2013) F. Leberl et al. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
- Investigating the influence of LiDAR ground surface errors on the utility of derived forest inventories
- (2012) Wade T. Tinkham et al. CANADIAN JOURNAL OF FOREST RESEARCH
- Lidar plots — a new large-area data collection option: context, concepts, and case study
- (2012) Michael A. Wulder et al. CANADIAN JOURNAL OF REMOTE SENSING
- Using the Cartographic Depth-to-Water Index to Locate Small Streams and Associated Wet Areas across Landscapes
- (2012) Barry White et al. Canadian Water Resources Journal
- Forest variable estimation using a high-resolution digital surface model
- (2012) J. Järnstedt et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Estimation of forest resources from a country wide laser scanning survey and national forest inventory data
- (2012) Thomas Nord-Larsen et al. REMOTE SENSING OF ENVIRONMENT
- Tradeoffs between lidar pulse density and forest measurement accuracy
- (2012) Marek K. Jakubowski et al. REMOTE SENSING OF ENVIRONMENT
- Forest variable estimation using photogrammetric matching of digital aerial images in combination with a high-resolution DEM
- (2012) Jonas Bohlin et al. SCANDINAVIAN JOURNAL OF FOREST RESEARCH
- LiDAR Sampling Density for Forest Resource Inventories in Ontario, Canada
- (2012) Paul Treitz et al. Remote Sensing
- Comparison of Methods for Estimation of Stem Volume, Stem Number and Basal Area from Airborne Laser Scanning Data in a Hemi-Boreal Forest
- (2012) Eva Lindberg et al. Remote Sensing
- An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning
- (2012) Harri Kaartinen et al. Remote Sensing
- Area-based lidar-assisted estimation of forest standing volume
- (2010) Piermaria Corona et al. CANADIAN JOURNAL OF FOREST RESEARCH
- Retrieval of forest structural parameters using LiDAR remote sensing
- (2010) Martin van Leeuwen et al. EUROPEAN JOURNAL OF FOREST RESEARCH
- Digital Photogrammetric Camera Evaluation – Generation of Digital Elevation Models
- (2010) Norbert Haala et al. Photogrammetrie Fernerkundung Geoinformation
- Ground Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues
- (2010) Xuelian Meng et al. Remote Sensing
- High‐quality image matching and automated generation of 3D tree models
- (2008) E. Baltsavias et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Review of methods of small‐footprint airborne laser scanning for extracting forest inventory data in boreal forests
- (2008) J. Hyyppä et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Mapping canopy height using a combination of digital stereo‐photogrammetry and lidar
- (2008) B. St‐Onge et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Stereo Processing by Semiglobal Matching and Mutual Information
- (2007) H. Hirschmuller IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started