A Comparative Study to Evaluate Accuracy on Canopy Height and Density Using UAV, ALS, and Fieldwork
出版年份 2020 全文链接
标题
A Comparative Study to Evaluate Accuracy on Canopy Height and Density Using UAV, ALS, and Fieldwork
作者
关键词
-
出版物
Forests
Volume 11, Issue 2, Pages 241
出版商
MDPI AG
发表日期
2020-02-24
DOI
10.3390/f11020241
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
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