Laser Scanning in Forests

The introduction of Airborne Laser Scanning (ALS) to forests has been revolutionary during the last decade. This development was facilitated by combining earlier ranging lidar discoveries [1–5], with experience obtained from full-waveform ranging radar [6,7] to new airborne laser scanning systems which had components such as a GNSS receiver (Global Navigation Satellite System), IMU (Inertial Measurement Unit) and a scanning mechanism. Since the first commercial ALS in 1994, new ALS-based forest inventory approaches have been reported feasible for operational activities [8–12]. ALS is currently operationally applied for stand level forest inventories, for example, in Nordic countries. In Finland alone, the adoption of ALS for forest data collection has led to an annual savings of around 20 M€/year, and the work is mainly done by companies instead of governmental organizations. In spite of the long implementation times and there being a limited tradition of making changes in the forest sector, laser scanning was commercially and operationally applied after about only one decade of research. When analyzing high-ranked journal papers from ISI Web of Science, the topic of laser scanning of forests has been the driving force for the whole laser scanning research society over the last decade. Thus, the topic “laser scanning in forests” has provided a significant industrial, societal and scientific impact. [...]

• Publication year

  2012

• Venue

  Remote Sensing

• Publication date

  2012-09-25

• Fields of study

  Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.3390/rs4102919
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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• Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests

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• Advances in Forest Inventory Using Airborne Laser Scanning

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• Application of Semi-Automated Filter to Improve Waveform Lidar Sub-Canopy Elevation Model

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• Extracting More Data from LiDAR in Forested Areas by Analyzing Waveform Shape

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• Comparison of Methods for Estimation of Stem Volume, Stem Number and Basal Area from Airborne Laser Scanning Data in a Hemi-Boreal Forest

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• Influence of Surface Topography on ICESat/GLAS Forest Height Estimation and Waveform Shape

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• LiDAR Sampling Density for Forest Resource Inventories in Ontario, Canada

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• An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

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• ICESat/GLAS Data as a Measurement Tool for Peatland Topography and Peat Swamp Forest Biomass in Kalimantan, Indonesia

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• Deriving Fuel Mass by Size Class in Douglas-fir (Pseudotsuga menziesii) Using Terrestrial Laser Scanning

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• DETECTING AND ESTIMATING ATTRIBUTES FOR SINGLE TREES USING LASER SCANNER

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• Estimation of stem volume using laser scanning-based canopy height metrics

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• Detecting and measuring individual trees using an airborne laser scanner

  2002cited by this paper
• Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data

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• Determination of mean tree height of forest stands using airborne laser scanner data

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• Estimating forest biomass and volume using airborne laser data

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• Nadir looking airborne radar and possible applications to forestry

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• Terrestrial and Airborne Laser Scanning Dataset of Trees in the Shivalik Range, India with Field Measurements and Leaf-Wood Classifications.

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• Advancements in Forest Monitoring: Applications and Perspectives of Airborne Laser Scanning and Complementarity with Satellite Optical Data

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• Remote Sensing of Forest Gap Dynamics in the Białowieża Forest: Comparison of Multitemporal Airborne Laser Scanning and High-Resolution Aerial Imagery Point Clouds

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• Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data

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• Use of Mobile Laser Scanning (MLS) to Monitor Vegetation Recovery on Linear Disturbances

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• Comparing tree attributes derived from quantitative structure models based on drone and mobile laser scanning point clouds across varying canopy cover conditions

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• To have your press release published in PE & RS , contact

  2021cites this paper
• Automated Marker-Free Registration of Multisource Forest Point Clouds Using a Coarse-to-Global Adjustment Strategy

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• Forest Inventory and Aboveground Biomass Estimation with Terrestrial LiDAR in the Tropical Forest of Malaysia

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• Estimation of Forest Variable and Aboveground Biomass using Terrestrial Laser Scanning in the Tropical Rainforest

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• Marker-free coregistration of UAV and backpack LiDAR point clouds in forested areas

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• Automatic DTM extraction from airborne LiDAR based on expectation-maximization

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• Manned aircraft versus small unmanned aerial system—forestry remote sensing comparison utilizing lidar and structure-from-motion for forest carbon modeling and disturbance detection

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• Apple orchard inventory with a LiDAR equipped unmanned aerial system

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• EVALUATING THE POSSIBILITY OF TREE SPECIES CLASSIFICATION WITH DUAL-WAVELENGTH ALS DATA

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• Assessing the accuracy of UAV- DTM generated under different forest canopy density and its effect on estimation of aboveground carbon in Asubima forest, Ghana

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• Species discrimination and individual tree detection for predicting main dendrometric characteristics in mixed temperate forests by use of airborne laser scanning and ultra-high-resolution imagery.

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• Forest Damage Assessment Using Deep Learning on High Resolution Remote Sensing Data

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• ACCURACY OF DTM DERIVED FROM UAV IMAGERY AND ITS EFFECT ON CANOPY HEIGHT MODEL COMPARED TO AIRBORNE LIDAR IN PART OF TROPICAL RAIN FORESTS OF BERKLAH, MALAYSIA

  2018cites this paper
• Detection of forest strata volume using LiDAR data

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• Automatic Detection of Single Trees in Airborne Laser Scanning Data through Gradient Orientation Clustering

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• Integrating terrestrial and airborne laser scanning for the assessment of single-tree attributes in Mediterranean forest stands

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• Assessing forest windthrow damage using single-date, post-event airborne laser scanning data

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• A THRESHOLD-FREE FILTERING ALGORITHM FOR AIRBORNE LIDAR POINT CLOUDS BASED ON EXPECTATION-MAXIMIZATION

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• DETERMINING GEOMETRIC PARAMETERS OF AGRICULTURAL TREES FROM LASER SCANNING DATA OBTAINED WITH UNMANNED AERIAL VEHICLE

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• Automatic Assessment of Crown Projection Area on Single Trees and Stand-Level, Based on Three-Dimensional Point Clouds Derived from Terrestrial Laser-Scanning

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• An Assessment of Small Unmanned Aerial Systems in Support of Sustainable Forestry Management Initiatives

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• Integrating Airborne LiDAR and Terrestrial Laser Scanner forest parameters for accurate above-ground biomass/carbon estimation in Ayer Hitam tropical forest, Malaysia

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• Flow-vegetation interactions at the plant-scale: the importance of volumetric canopy morphology on flow field dynamics

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• Automatic Detection and Parameter Estimation of Trees for Forest Inventory Applications Using 3D Terrestrial LiDAR

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• Modelling individual tree height to crown base of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica L.)

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• Forest understory trees revealed using sufficiently dense airborne laser scanning point clouds

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• Modelling tree crown-to-bole diameter ratio for Norway spruce and European beech

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• Assessing new methods for measuring forest understorey vegetation using terrestrial laser scanning

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