A Comparative Study to Evaluate Accuracy on Canopy Height and Density Using UAV, ALS, and Fieldwork
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Comparative Study to Evaluate Accuracy on Canopy Height and Density Using UAV, ALS, and Fieldwork
Authors
Keywords
-
Journal
Forests
Volume 11, Issue 2, Pages 241
Publisher
MDPI AG
Online
2020-02-24
DOI
10.3390/f11020241
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Comparison of UAV LiDAR and Digital Aerial Photogrammetry Point Clouds for Estimating Forest Structural Attributes in Subtropical Planted Forests
- (2019) Lin Cao et al. Forests
- Assessment of Individual Tree Detection and Canopy Cover Estimation using Unmanned Aerial Vehicle based Light Detection and Ranging (UAV-LiDAR) Data in Planted Forests
- (2019) Xiangqian Wu et al. Remote Sensing
- Evaluating Unmanned Aerial Vehicle Images for Estimating Forest Canopy Fuels in a Ponderosa Pine Stand
- (2018) Patrick Shin et al. Remote Sensing
- Accuracy of Unmanned Aerial Vehicle (UAV) and SfM Photogrammetry Survey as a Function of the Number and Location of Ground Control Points Used
- (2018) Enoc Sanz-Ablanedo et al. Remote Sensing
- Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery
- (2017) Qin Ma et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR
- (2017) Benjamin Brede et al. SENSORS
- Determining tree height and crown diameter from high-resolution UAV imagery
- (2016) Dimitrios Panagiotidis et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Comparison of UAV photograph-based and airborne lidar-based point clouds over forest from a forestry application perspective
- (2016) Christian Thiel et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Comparing ALS and Image-Based Point Cloud Metrics and Modelled Forest Inventory Attributes in a Complex Coastal Forest Environment
- (2015) Joanne White et al. Forests
- Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods
- (2014) P.J. Zarco-Tejada et al. EUROPEAN JOURNAL OF AGRONOMY
- A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data
- (2014) Rocío Hernández-Clemente et al. Remote Sensing
- Airborne laser scanning and digital stereo imagery measures of forest structure: comparative results and implications to forest mapping and inventory update
- (2013) Mikko Vastaranta et al. CANADIAN JOURNAL OF REMOTE SENSING
- Point Clouds
- (2013) F. Leberl et al. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
- The Utility of Image-Based Point Clouds for Forest Inventory: A Comparison with Airborne Laser Scanning
- (2013) Joanne White et al. Forests
- A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery
- (2013) Jonathan Lisein et al. Forests
- Forest variable estimation using a high-resolution digital surface model
- (2012) J. Järnstedt et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- 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
- Development of a UAV-LiDAR System with Application to Forest Inventory
- (2012) Luke Wallace et al. Remote Sensing
- Airborne Light Detection and Ranging (LiDAR) for Individual Tree Stem Location, Height, and Biomass Measurements
- (2011) Curtis Edson et al. Remote Sensing
- Digital Photogrammetric Camera Evaluation – Generation of Digital Elevation Models
- (2010) Norbert Haala et al. Photogrammetrie Fernerkundung Geoinformation
- Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle
- (2009) J. Berni et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk 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