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Improving Measurement of Forest Structural Parameters by Co-Registering of High Resolution Aerial Imagery and Low Density LiDAR Data

Huabing Huang, Peng Gong, Xiao Cheng, Nick Clinton, Zengyuan Li
2009 Sensors  
We used high resolution aerial imagery with a low density LiDAR system to overcome this shortcoming.  ...  The synthesis with aerial imagery increases the accuracy of forest structural parameter extraction when compared to only using the low density LiDAR data.  ...  The objective of this paper was to evaluate the quality, accuracy, and feasibility of an automatic tree extraction method based on low density LiDAR point data and high resolution imagery.  ... 
doi:10.3390/s90301541 pmid:22573971 pmcid:PMC3345824 fatcat:mhl6zsicuvgdzapobhmfekaz7a

A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery

Jonathan Lisein, Marc Pierrot-Deseilligny, Stéphanie Bonnet, Philippe Lejeune
2013 Forests  
revisit period of drones in order to refresh the LiDAR canopy height model and to collect dense multitemporal canopy height series.  ...  Conflicts of Interest The authors declare no conflict of interest.  ...  Acknowledgments The authors would like to acknowledge the Belgian Civil Aviation Authority, as well as the municipality of Beauraing for providing authorization for the use of a small UAS in the present  ... 
doi:10.3390/f4040922 fatcat:tdc7wt4dtfes5kstokhieo4n24

Comparison of photogrammetric canopy models from archived and made-to-order aerial imagery in forest inventory

Sakari Tuominen, Andras Balazs, Annika Kangas
2020 Silva Fennica  
In remote sensing-based forest inventories 3D point cloud data, such as acquired from airborne laser scanning, are well suited for estimating the volume of growing stock and stand height, but tree species  ...  Aerial and satellite data were tested in the estimation of growing stock volume, volumes of main tree species, basal area and diameter and height.  ...  CHMs based on aerial imagery with centimeter class spatial resolution and stereo overlaps of 60-80% would allow high estimation accuracy for forest variables related to the amount of stem growing stock  ... 
doi:10.14214/sf.10291 fatcat:wto6hhj6nbh4tiyxv3khfpz6da

Acquisition of Forest Attributes for Decision Support at the Forest Enterprise Level Using Remote-Sensing Techniques—A Review

Peter Surový, Karel Kuželka
2019 Forests  
to modern sensors interesting methods were developed for detection of stressed or damaged trees.  ...  With satellite images that can obtain sub-meter spatial resolution, and new hardware, particularly unmanned aerial vehicles and systems, there are many emerging opportunities for improved data acquisition  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/f10030273 fatcat:fzowinbsvfdwtnpe45f6yfzu6a

Automated tree crown delineation from imagery based on morphological techniques

L Jing, B Hu, J Li, T Noland, H Guo
2014 IOP Conference Series: Earth and Environment  
In an experiment on high spatial resolution aerial imagery over natural closed canopy forests, the proposed method correctly delineated approximately 74% of mixedwood tree crowns and 59% of deciduous crowns  ...  In current tree crown delineation from imagery, treetops and three dimensional (3D) radiometric shapes of tree crowns are frequently extracted from a spectral band or a brightness component of the image  ...  We would also like to thank GeoDigital Inc for providing the aerial images.  ... 
doi:10.1088/1755-1315/17/1/012066 fatcat:43xkorstfngzfggafaifxdrn5y

Discrimination of Deciduous Tree Species from Time Series of Unmanned Aerial System Imagery

Jonathan Lisein, Adrien Michez, Hugues Claessens, Philippe Lejeune, Marco Cristani
2015 PLoS ONE  
A time series of high resolution UAS imagery was collected to cover the growing season from leaf flush to leaf fall.  ...  This paper addresses the question of how and particularly when Unmanned Aerial System (UAS) should be used in order to efficiently discriminate deciduous tree species.  ...  Acknowledgments The authors would like to acknowledge the Belgian Civil Aviation Authority, as well as the municipality of Eghezée, for providing authorization for the use of a small UAS in the present  ... 
doi:10.1371/journal.pone.0141006 pmid:26600422 pmcid:PMC4657984 fatcat:7fhb5kdqqbcgjfg7tmvnc4eruq

The automated extraction of environmentally relevant features from digital imagery using Bayesian multi-resolution analysis

Chris Pal, Dave Swayne, Brendan Frey
2001 Advances in Environmental Research  
digital imagery at multiple resolution scales.  ...  In this paper, we discuss the use of hierarchical tree-structured Bayesian networks for integrating knowledge concerning contextual relationships between environmentally relevant features extracted from  ...  As such, specialized software tools are needed to extract features from such imagery.  ... 
doi:10.1016/s1093-0191(01)00095-8 fatcat:uv2lyoshgfbljp4mf2u7foavmm

Automated Individual Tree Detection and Crown Delineation Using High Spatial Resolution RGB Aerial Imagery

Tae-Jin Park, Jong-Yeol Lee, Woo-Kyun Lee, Doo-Ahn Kwak, Han-Bin Kwak, Sang-Chul Lee
2011 Korean Journal of Remote Sensing  
Individual trees in aerial imagery have reflectance characteristics according to tree species, crown shape and hierarchical status.  ...  Finally, accuracy of result derived from this method was evaluated by comparing with the reference data about individual tree location, number and crown boundary acquired by visual interpretation.  ...  Acknowledgments This study was carried out with the support of "Forest Science and Technology Projects (Project No. S120911L010130)" provided by Korea Forest Service.  ... 
doi:10.7780/kjrs.2011.27.6.703 fatcat:amedm4grjbfudcy2epvn7p35au

Object Oriented Classification for Mapping Mixed and Pure Forest Stands Using Very-High Resolution Imagery

Loredana Oreti, Diego Giuliarelli, Antonio Tomao, Anna Barbati
2021 Remote Sensing  
The main objective of this study is to evaluate the potential of Object-Based Image Analysis (OBIA) and Very-High-Resolution imagery (VHR) to detect and map mixed forests of broadleaves and coniferous  ...  trees with a Minimum Mapping Unit (MMU) of 500 m2.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13132508 fatcat:hbxj6hq5efcydb3b7pn4gmifra

Integrating Data from Discrete Return Airborne LiDAR and Optical Sensors to Enhance the Accuracy of Forest Description: A Review

Cong Xu, Justin Morgenroth, Bruce Manley
2015 Current Forestry Reports  
In contrast, multispectral imagery from optical sensors often covers large extents but they fail to capture detail below the forest canopy and do not directly measure structural attributes.  ...  However, due to the high costs associated with data collection and processing, wall-to-wall LiDAR data is rarely obtained for forests.  ...  [78] used high-resolution aerial photography and LiDAR-derived tree canopy model (TCM) to segment individual Sitka spruce trees in order to derive individual tree height.  ... 
doi:10.1007/s40725-015-0019-3 fatcat:ta4wcd3zsfevpm2gbbjfxlzcia

URBAN OBJECT EXTRACTION FROM DIGITAL SURFACE MODEL AND DIGITAL AERIAL IMAGES

D. Grigillo, U. Kanjir
2012 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Automatic extraction of other green urban features (trees and natural ground) started from orthoimages using iterative object-based classification.  ...  The paper describes two different methods for extraction of two types of urban objects from lidar digital surface model (DSM) and digital aerial images.  ...  Research of the automatic tree detection and delineation from digital imagery dates back to the mid-1980s.  ... 
doi:10.5194/isprsannals-i-3-215-2012 fatcat:bcww5zftgzcm7jymkv3hqxjqau

Analysis of multitemporal aerial images for Fenyőfő forest change detection

Shukhrat Shokirov, Géza Király
2016 Acta Geographica Debrecina: Landscape and Environment Series  
This study evaluated the use of 40 cm spatial resolution aerial images for individual tree crown delineation, forest type classification, health estimation and clear-cut area detection in Fenyőfő forest  ...  Overall accuracy of classification was 77.2%, analysis showed that coniferous tree type classification was very accurate, but deciduous tree classification had a lot of omission errors.  ...  2012 and 2015 years in Fenyőfő forest reserves using high resolution aerial images.  ... 
doi:10.21120/le/10/2/4 fatcat:v6gistha7zhd5dwazcsjofbprq

Feature extraction and selection in remote sensing-aided forest inventory

Reija Haapanen
2014 Dissertationes Forestales  
Special emphasis was placed on combining features extracted from individual remotely sensed data sources and searching for sets of image features that led to the best performance for estimation of forest  ...  Automatic selection of image feature sets greatly reduced noise and dimensionality of the large feature sets used as input data and resulted in better performance in terms of estimation error.  ...  High/very high resolution (VHR) satellite imagery (e.g., Ikonos, Geoeye, Quickbird), with spatial resolution comparable to aerial photographs, have some advantages over aerial photography, as they are  ... 
doi:10.14214/df.181 fatcat:2wyf2urvhnfrnkulckz37ei6z4

DOES THE DATA RESOLUTION/ORIGIN MATTER? SATELLITE, AIRBORNE AND UAV IMAGERY TO TACKLE PLANT INVASIONS

Jana Müllerová, Josef Brůna, Petr Dvořák, Tomáš Bartaloš, Michaela Vítková
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In an ongoing project, optical remote sensing (RS) data of different origin (satellite, aerial and UAV), spectral (panchromatic, multispectral and color), spatial (very high to medium) and temporal resolution  ...  High accuracies achieved for very high resolution data indicate the possible application of described methodology for monitoring invasions and their long-term dynamics elsewhere, making management measures  ...  ACKNOWLEDGEMENTS The research leading to these results has received funding from the MEYS under the National Sustainability Programme I (Project LO1202), the long-term research development project no.  ... 
doi:10.5194/isprsarchives-xli-b7-903-2016 fatcat:elbthuqxafbyvh5imafo3yvbym

DOES THE DATA RESOLUTION/ORIGIN MATTER? SATELLITE, AIRBORNE AND UAV IMAGERY TO TACKLE PLANT INVASIONS

Jana Müllerová, Josef Brůna, Petr Dvořák, Tomáš Bartaloš, Michaela Vítková
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In an ongoing project, optical remote sensing (RS) data of different origin (satellite, aerial and UAV), spectral (panchromatic, multispectral and color), spatial (very high to medium) and temporal resolution  ...  High accuracies achieved for very high resolution data indicate the possible application of described methodology for monitoring invasions and their long-term dynamics elsewhere, making management measures  ...  ACKNOWLEDGEMENTS The research leading to these results has received funding from the MEYS under the National Sustainability Programme I (Project LO1202), the long-term research development project no.  ... 
doi:10.5194/isprs-archives-xli-b7-903-2016 fatcat:gabwp2pva5gi7apm2eaa5tx4hq
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