Results 11 to 20 of about 176,687 (204)
Assessment of Errors Caused by Forest Vegetation Structure in Airborne LiDAR-Derived DTMs [PDF]
Remote Sensing, 2017 Airborne Light Detection and Ranging (LiDAR) is a survey tool with many applications in forestry and forest research. It can capture the 3D structure of vegetation and topography quickly and accurately over thousands of hectares of forest.
Jake E. Simpson +2 more
doaj +3 more sources
Analysis of the factors affecting LiDAR DTM accuracy in a steep shrub area [PDF]
International Journal of Digital Earth, 2010 The creation of a quality Digital Terrain Model (DTM) is essential for representing and analyzing the Earth in a digital form. The continuous improvements in the acquisition and the potential of airborne Light Detection and Ranging (LiDAR) data are increasing the range of applications of this technique to the study of the Earth surface. The aim of this
Javier Estornell +3 more
openaire +3 more sources
Monitoring the Dynamics of Formby Sand Dunes Using Airborne LiDAR DTMs [PDF]
Remote Sensing, 2021 Coastal dunes play an important role in coastal erosion risk management, where they act as a dynamic natural sea defence line. Formby coast is part of the Sefton coast in the Northwest of England and is one of the largest and most rapidly evolving sand dune systems in the UK.
Ahmed Mutasim Abdalla Mahmoud +4 more
openaire +4 more sources
Global LiDAR Lowland DTM (GLL_DTM_v1)
, 2023 The Global LiDAR Lowland DTM (GLL_DTM_v1) at 0.05-degree resolution (~5*5 km) is created from ICESat-2 data (v003) collected between 14 October 2018 and 13 May 2020 as published in Vernimmen et al.
Vernimmen, R
core +2 more sources
Land cover dependent error in Intermap RADAR DTM: LiDAR comparison and fusion potential
, 2013 Elevation error in the Intermap x-band airborne RADAR DTM data set is defined in a 260-hectare mixed land cover area using external dual-frequency GPS and bare-earth LiDAR point-cloud validation data.
Coveney, S.
core +8 more sources
Global LiDAR Lowland DTM (GLL_DTM_v1)
, 2020 The Global LiDAR Lowland DTM (GLL_DTM_v1) at 0.05-degree resolution (~5*5 km) is created from ICESat-2 data (v003) collected between 14 October 2018 and 13 May 2020 as published in Vernimmen et al.
Vernimmen, R (via Mendeley Data)
core +2 more sources
A Robust Filtering Algorithm of LiDAR Data for DTM Extraction [PDF]
Proceedings of the 2nd International Conference On Systems Engineering and Modeling, 2013 For DTM extraction of road linear project from LiDAR data, this paper proposes a robust ground filtering algorithm. Firstly, a pyramidal hierarchical structure of ground candidate points is formed. Secondly, in each level, the Thin Plate Spline (TPS) surface interpolation is iteratively used to produces smooth surfaces, and based on the points ...
Yang Ming, Chu Jiang Chen
openaire +1 more source
GENERATION OF REFERENCE VEHICLE TRAJECTORIES IN REAL-WORLD SITUATIONS USING AERIAL IMAGERY FROM A HELICOPTER [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Highly accurate reference vehicle trajectories are required in the automotive domain e. g. for testing mobile GNSS devices. Common methods used to determine reference trajectories are based on the same working principles as the device under test and ...
F. Kurz +13 more
doaj +1 more source
, 2022 Slope range in degrees for the LiDAR 1m DEM, VicMap Elevation DTM and SRTM DEM (left) and the difference in slope between LiDAR 1m DEM and the VicMap Elevation DTM (LiDAR 1m-DTM) and SRTM DEM (LiDAR 1m-SRTM).
Chris Taylor (18679) +1 more
core +1 more source
Remote Sensing, 2016 We examine the utility of Structure from Motion (SfM) point cloud products to generate a digital terrain model (DTM) and estimate canopy heights in a woodland ecosystem in the Texas Hill Country, USA.
Jennifer L. R. Jensen, Adam J. Mathews
doaj +1 more source