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Evaluating Tree Detection and Segmentation Routines on Very High Resolution UAV LiDAR Data

Luke Wallace, Arko Lucieer, Christopher S. Watson
2014 IEEE Transactions on Geoscience and Remote Sensing  
The aim of this paper is to use high-resolution LiDAR data captured from a small multirotor unmanned aerial vehicle platform to determine the influence of the detection algorithm and point density on the  ...  Five different tree detection routines were implemented, which delineate trees directly from the point cloud, voxel space, and the canopy height model (CHM).  ...  UAVs have been shown to allow very high spatial resolution data (50 to 120 pulses per square meter (p/m 2 )) to be captured rapidly and on demand.  ... 
doi:10.1109/tgrs.2014.2315649 fatcat:tgwiy3i5yva6fneo24wh67zfoa

Individual Tree Crown Segmentation in Two-Layered Dense Mixed Forests from UAV LiDAR Data

Chiara Torresan, Federico Carotenuto, Ugo Chiavetta, Franco Miglietta, Alessandro Zaldei, Beniamino Gioli
2020 Drones  
Segmentation using itcLiDAR showed detection rates between 40% and 57%, while ITC delineation was successful at segmenting trees with DBH larger than 10 cm (detection rate ~78%), while failed to detect  ...  To maximize the level of detection rate, the ITC algorithm parameters were tuned varying 1350 setting combinations and matching the segmented trees with field measured trees.  ...  In fact, also using LiDAR data with very high density as in this study (i.e., 193 points/m 2 ) the accuracy of tree segmentation was similar to that obtained in the studies that benchmarked individual  ... 
doi:10.3390/drones4020010 doaj:61999b7495e24d2c9e3faff504146ce9 fatcat:t452ueqetvgrnkxefbr7qvdzbm

Recent Advances in Unmanned Aerial Vehicles Forest Remote Sensing—A Systematic Review. Part II: Research Applications

Riccardo Dainelli, Piero Toscano, Salvatore Filippo Di Gennaro, Alessandro Matese
2021 Forests  
acquiring tree spectral signature especially for pest and diseases detection, (2) automatic processes for image analysis are poorly flexible or based on proprietary software at the expense of flexible  ...  applications and for enabling data interoperability.  ...  [83] focus on segmentation routine.  ... 
doi:10.3390/f12040397 fatcat:6mtlejuku5c3xbx2eq7inpdjse

Toward automated power line corridor monitoring using advanced aircraft control and multisource feature fusion

Zhengrong Li, Troy S. Bruggemann, Jason J. Ford, Luis Mejias, Yuee Liu
2011 Journal of Field Robotics  
Improved object recognition is achieved by fusing information from multi-sensor (LiDAR and imagery) data and multiple visual feature descriptors (color and texture).  ...  for aerial data collection, and automated data processing for object recognition using a feature fusion process.  ...  proposed a multiscale spectral and spatial feature fusion method based on wavelet transform and evaluated in very high resolution satellite image classification. Zhang et al.  ... 
doi:10.1002/rob.20424 fatcat:b7i2ukpctjchbl6rge6thkfoma

Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR [article]

Lloyd Windrim, Mitch Bryson
2018 arXiv   pre-print
This paper presents an autonomous approach to tree detection and segmentation in high resolution airborne LiDAR that utilises state-of-the-art region-based CNN and 3D-CNN deep learning algorithms.  ...  The results show that the proposed approach performs favourably in comparison to other methods for tree detection and segmentation.  ...  ACKNOWLEDGMENT This work was supported in part by Forest and Wood Products Australia research grant PNC377-1516.  ... 
arXiv:1810.12536v1 fatcat:6r6nlfmgvvcrpazw7guft63ksy

Comparison of Machine Learning Algorithms for Wildland-Urban Interface Fuelbreak Planning Integrating ALS and UAV-borne LiDAR Data and Multispectral Images

Francisco Rodríguez-Puerta, Rafael Alonso Ponce, Fernando Pérez-Rodríguez, Beatriz Águeda, Saray Martín-García, Raquel Martínez-Rodrigo, Iñigo Lizarralde
2020 Drones  
We used very high-density Light Detection and Ranging (LiDAR) data acquired by UAV (154 returns·m−2 and ortho-mosaic of 5-cm pixel), multispectral data from the satellites Pleiades-1B and Sentinel-2, and  ...  Using a combination of Sentinel-2 and the two LiDAR data (UAV and ALS), Random Forest obtained an OA of 90.66% in training and of 91.80% in testing datasets.  ...  Acknowledgments: LiDAR data was provided by AEROMEDIA UAV and CNIG-PNOA.  ... 
doi:10.3390/drones4020021 fatcat:au2spjnowndjzgkfoffmhwkaha

Detection of Coniferous Seedlings in UAV Imagery

Corey Feduck, Gregory McDermid, Guillermo Castilla
2018 Forests  
ground surveys were very high (Pearson's r = 0.98; n = 14).  ...  Using simple spectral decision rules from a red, green, and blue (RGB) camera, we documented a seedling detection rate of 75.8 % (n = 149), on the basis of independent test data.  ...  The funding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.  ... 
doi:10.3390/f9070432 fatcat:ko6sugedbzb3dcvtj4nx6a3oje

Efficient automated U-Net based tree crown delineation using UAV multi-spectral imagery on embedded devices [article]

Kostas Blekos, Stavros Nousias, Aris S Lalos
2021 arXiv   pre-print
Extensive evaluation studies using data collected from UAVs equipped with multi-spectral cameras demonstrate the effectiveness of the proposed methods in terms of delineation accuracy and execution efficiency  ...  The ground truth data were generated using traditional image denoising and segmentation approaches.  ...  significantly improved using 3D segmentation from LIDAR data than relying on the surface RGB images.  ... 
arXiv:2107.07826v1 fatcat:7cd3vtnopndyhmfd3sqmblkxh4

Advances in the Derivation of Northeast Siberian Forest Metrics Using High-Resolution UAV-Based Photogrammetric Point Clouds

Frederic Brieger, Ulrike Herzschuh, Luidmila A. Pestryakova, Bodo Bookhagen, Evgenii S. Zakharov, Stefan Kruse
2019 Remote Sensing  
Subsequently, we detected individual tree tops using a variable-window size local maximum filter and applied a marker-controlled watershed segmentation for the delineation of tree crowns.  ...  We reconstructed high-resolution photogrammetric point clouds and derived canopy height models for 10 study sites from NE Chukotka and SW Yakutia.  ...  Shevtsova for their help in sampling and tree measurements. Guido Grosse and Thomas Laepple provided us with computational resources for the point cloud reconstruction.  ... 
doi:10.3390/rs11121447 fatcat:uya54nwhanbm3iulntxphxhfzu

Integrating UAV-SfM and Airborne Lidar Point Cloud Data to Plantation Forest Feature Extraction

Tatsuki Yoshii, Naoto Matsumura, Chinsu Lin
2022 Remote Sensing  
A low-cost UAV-based optical sensing method is an economical and flexible alternative for collecting high-resolution images for generating point cloud data and orthophotos for mapping but lacks height  ...  The proposed method primarily relies on the ALS-based digital elevation model data (ALS-DEM), UAV-based structure-from-motion technique generated digital surface model data (UAV-SfM-DSM), and their derivative  ...  Acknowledgments: This study is a part of the project "Deriving parameters of forest stand structure using terrestrial-airborne-spaceborne lidar data".  ... 
doi:10.3390/rs14071713 fatcat:fkyzxj7eenf25ferxdqsgfdoyu

Automatic Clearance Anomaly Detection for Transmission Line Corridors Utilizing UAV-Borne LIDAR Data

Chi Chen, Bisheng Yang, Shuang Song, Xiangyang Peng, Ronggang Huang
2018 Remote Sensing  
To find the clearance hazards efficiently and flexibly, this study thus proposed an automatic clearance anomaly detection method utilizing LiDAR point clouds collected by unmanned aerial vehicle (UAV).  ...  is decimeter level for the LiDAR point clouds collected by our UAV inspection system.  ...  UAV LiDAR complements standard remote ALS acquisition systems in both spatial and temporal resolutions, because of the flexible and close-range data collection.  ... 
doi:10.3390/rs10040613 fatcat:nauenvrntvgjran4dxyf6w3aea

Mapping Canopy Heights in Dense Tropical Forests Using Low-Cost UAV-Derived Photogrammetric Point Clouds and Machine Learning Approaches

He Zhang, Marijn Bauters, Pascal Boeckx, Kristof Van Oost
2021 Remote Sensing  
We capitalize on the DAP-derived high-resolution vertical forest structure to inform ground detection.  ...  Data derived from digital aerial photogrammetry (DAP) on the unmanned aerial vehicle (UAV) platform offer several advantages over field- and LiDAR-based approaches in terms of scale and efficiency, and  ...  Acknowledgments: We thank Isaac Ahanamungu of the Department of Environment, Ghent University, for the collection of inventory data.  ... 
doi:10.3390/rs13183777 fatcat:xguor7m3irhlrearmjlhy7sibm

Cost-Effective Mapping Using Unmanned Aerial Vehicles in Ecology Monitoring Applications [chapter]

Mitch Bryson, Alistair Reid, Calvin Hung, Fabio Tozeto Ramos, Salah Sukkarieh
2014 Springer Tracts in Advanced Robotics  
Ecology monitoring of large areas of farmland, rangelands and wilderness relies on routine map building and picture compilation, traditionally performed using high-flying surveys with manned-aircraft or  ...  This paper discusses the development and experimental evaluation of systems and algorithms for airborne environment mapping, object detection and vegetation classification using low-cost sensor data including  ...  UAVs can operate safely at a lower altitude, providing high-resolution imagery (for example 3cm/pixel in one application [3] ), have the advantages of being low-cost to build and maintain, are typically  ... 
doi:10.1007/978-3-642-28572-1_35 fatcat:stzlupcqqvfmje4vyw5o5holmq

Unmanned Aerial Vehicles (UAVs) in environmental biology: a review

Maciej M. Nowak, Katarzyna Dziób, Paweł Bogawski
2019 European Journal of Ecology  
and temporal resolution and a high cost of data acquisition.  ...  Generally, the analytical part of the present study was divided into following sections: (1) detecting, assessing and predicting threats on vegetation, (2) measuring the biophysical parameters of vegetation  ...  The LiDAR-hyperspectral image fusion method based on high-resolution LiDAR, hyper-and multispectral data taken from UAVs was used to measure structural characteristics (e.g. individual tree canopy height  ... 
doi:10.2478/eje-2018-0012 fatcat:532goranhvgptex52g3cczs5ee

Automated Mapping of Woody Debris over Harvested Forest Plantations Using UAVs, High-Resolution Imagery, and Machine Learning

Lloyd Windrim, Mitch Bryson, Micheal McLean, Jeremy Randle, Christine Stone
2019 Remote Sensing  
Using high-resolution, geo-registered color mosaics generated from UAV-borne images, we develop manual and automated processing methods for detecting, segmenting and counting both fine and coarse woody  ...  In this paper, we propose and evaluate new automated methods for the collection and interpretation of high-resolution, Unmanned Aerial Vehicle (UAV)-borne imagery over post-harvested forests for estimating  ...  Using high-resolution, color geo-registered mosaics generated from UAV-borne images, we develop manual and automated processing methods for detecting, segmenting and counting both fine and CWD, including  ... 
doi:10.3390/rs11060733 fatcat:cduamkwb6vgijnfalyk7dvycq4
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