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UAV LiDAR Metrics for Monitoring Crop Height, Biomass and Nitrogen Uptake: A Case Study on a Winter Wheat Field Trial
Efficient monitoring of crop traits such as biomass and nitrogen uptake is essential for an optimal application of nitrogen fertilisers. However,...
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Urban Tree Species Classification Using UAV-Based Multispectral Images and LiDAR Point Clouds
Multispectral imagery and light detection and ranging (LiDAR) point clouds fused data collected from an unmanned aerial vehicle (UAV) can provide...
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MoLi-PoseGAN: Model-based Indoor Relocalization Using GAN and Deep Pose Regression from Synthetic LiDAR Scans
Model-based LiDAR localization systems provide accurate pose estimation but they highly rely on the accuracy of 3D models. The inaccurate parts of 3D...
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Ecosystem extent map** by integrating Landsat 8, PALSAR-2, and GEDI lidar
Ecosystem extent is one of the essential biodiversity variables under the class of ecosystem structure. Due to the scarcity of all elements of an...
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Lockdown-induced Urban Aerosol Change over Changchun, China During COVID-19 Outbreak with Polarization LiDAR
Depending on various government policies, COVID-19 (Corona Virus Disease-19) lockdowns have had diverse impacts on global aerosol concentrations. In...
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A semi-automatic method for extraction of urban features by integrating aerial images and LIDAR data and comparing its performance in areas with different feature structures (case study: comparison of the method performance in Isfahan and Toronto)
In this article, a new feature detection approach based on integration of LiDAR data and visible images in the form of a semi-automatic method has...
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Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV-Net
Knowledge about tree species distribution is important for forest management and for modeling and protecting biodiversity in forests. Methods based...
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Closed-form solution to point- and plane-based co-registration of terrestrial LiDAR point clouds
Co-registration is required when the alignment of two or more point clouds obtained for map** natural and built environments is needed. While...
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The use of Otsu algorithm and multi-temporal airborne LiDAR data to detect building changes in urban space
Building change detection techniques are essential for several urban applications. In this context, multi-temporal airborne LiDAR data has been...
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Refined Geometric Modeling of Laser Pulse Propagation in Airborne LiDAR Bathymetry
To achieve a geometrically accurate representation of the water bottom, airborne LiDAR bathymetry (ALB) requires the correction of the raw 3D point...
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Possibilities of Using LiDAR Systems in Architectural and Archaeological Research in the National Archaeological Park of Machu Picchu
Against the background of basic information on airborne laser scanning (ALS) use in the detection of architectural and archaeological relics hidden...
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Biophysical Characterization of Forests in Western Ghats of India by Integration of Space-Borne LiDAR and Multispectral Remote Sensing
Periodic estimation of biophysical parameters is important for understanding the functioning and productivity status of forest ecosystems....
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Classification and Change Detection in Mobile Map** LiDAR Point Clouds
Creating 3D models of the static environment is an important task for the advancement of driver assistance systems and autonomous driving. In this...
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Using LiDAR-DEM based rapid flood inundation modelling framework to map floodplain inundation extent and depth
Map** floods is important for policy makers to make timely decisions in regards to emergency responses and future planning. It is therefore crucial...
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Potential of a Non-linear Full-Waveform Stacking Technique in Airborne LiDAR Bathymetry
Airborne LiDAR bathymetry is an efficient measurement method for area-wide acquisition of water bottom topography in shallow water areas. However,...
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Extraction of Building Footprints from LiDAR: An Assessment of Classification and Point Density Requirements
There is an increase in the collection and availability of LiDAR data across Canada. While digital terrain and surface models are the most common...
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A Robust and Efficient Method for Power Lines Extraction from Mobile LiDAR Point Clouds
Monitoring, maintaining, and organizing power lines corridors are of great importance because they are a primary means to transfer generated...
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LiDAR Applications to Forest-Water Interactions
Laser scanning, also known as light detection and ranging (LiDAR), is an active remote sensing technology, which provides 3D information of surfaces....
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MIN3D Dataset: MultI-seNsor 3D Map** with an Unmanned Ground Vehicle
The research potential in the field of mobile map** technologies is often hindered by several constraints. These include the need for costly...
