Results 1 to 10 of about 3,784 (112)

Analysis of UAV lidar information loss and its influence on the estimation accuracy of structural and functional traits in a meadow steppe

open access: yesEcological Indicators, 2022
Accurate quantification of grassland structural and functional traits is the foundation for grassland management and restoration. Light detection and ranging (lidar), especially the unmanned aerial vehicle (UAV) lidar, has been recognized as an accurate ...
Yanjun Su, Qinghua Guo, Lingli Liu
exaly   +3 more sources

UAV DTM acquisition in a forested area – comparison of low-cost photogrammetry (DJI Zenmuse P1) and LiDAR solutions (DJI Zenmuse L1)

open access: yesEuropean Journal of Remote Sensing, 2023
In this paper, we evaluated the results in terms of accuracy and coverage of the LiDAR-UAV system DJI Zenmuse L1 and Digital Aerial Photogrammetric system (DAP – UAV) DJI Zenmuse P1 in a forested area under leaf-off conditions on three sites with varying
Jaroslav Braun   +2 more
exaly   +3 more sources

Exploring the Potential of UAV LiDAR Data for Trunk Point Extraction and Direct DBH Measurement

open access: yesRemote Sensing, 2022
The accurate measurement of diameter at breast height (DBH) is one of the essential tasks for biomass estimation at an individual tree scale. This paper aims to explore the potential of unmanned aerial vehicle (UAV) based light detection and ranging ...
Xiaohuan Xi, Jinliang Wang, Guoqing Zhou
exaly   +3 more sources

Evaluation of the Usability of UAV LiDAR for Analysis of Karst (Doline) Terrain Morphology [PDF]

open access: yesSensors
Traditional terrain analysis has relied on Digital Topographic Maps produced by national agencies and Digital Elevation Models (DEMs) created using Airborne LiDAR.
Juneseok Kim, Ilyoung Hong
doaj   +2 more sources

Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration [PDF]

open access: yesHeliyon, 2023
High-resolution topographic information of landslide-prone areas plays an important role in accurate prediction and characterization of potential landslides and mitigation of landslides-associated hazards. This study presents an advanced geomorphological
Shin-Kyu Choi   +2 more
doaj   +2 more sources

Analysis of Doline Microtopography in Karst Mountainous Terrain Using UAV LiDAR: A Case Study of ‘Gulneomjae’ in Mungyeong City, South Korea [PDF]

open access: yesSensors
This study utilizes UAV-based LiDAR to analyze doline microtopography within a karst mountainous terrain. The study area, ‘Gulneomjae’ in Mungyeong City, South Korea, features steep slopes, limited accessibility, and abundant vegetation—conditions that ...
Juneseok Kim, Ilyoung Hong
doaj   +2 more sources

DEM Generation from Fixed-Wing UAV Imaging and LiDAR-Derived Ground Control Points for Flood Estimations

open access: yesSensors, 2019
Geospatial products, such as digital elevation models (DEMs), are important topographic tools for tackling local flood studies. This study investigates the contribution of LiDAR elevation data in DEM generation based on fixed-wing unmanned aerial vehicle
Jairo R Escobar Villanueva   +2 more
exaly   +3 more sources

UAV and Airborne LiDAR Data for Interpreting Kinematic Evolution of Landslide Movements: The Case Study of the Montescaglioso Landslide (Southern Italy)

open access: yesGeosciences, 2019
Airborne remote sensing systems are increasingly used in engineering geology and geomorphology for studying and monitoring natural hazardous scenarios and events.
Roberta Pellicani   +2 more
exaly   +3 more sources

Can iPhone/iPad LiDAR data improve canopy height model derived from UAV? [PDF]

open access: yesBIO Web of Conferences, 2023
Aerial images resulting from unmanned aerial vehicle (UAV) are widely used to estimate tree height. The filtering method is required to distinguish between ground and off-ground point clouds to generate a canopy height model.
Umarhadi Deha Agus   +5 more
doaj   +1 more source

UAV-BASED SORGHUM GROWTH MONITORING: A COMPARATIVE ANALYSIS OF LIDAR AND PHOTOGRAMMETRY [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Canopy height (CH) and leaf area index (LAI) provide key information about crop growth and productivity. A rapid and accurate retrieval of CH and LAI is critical for a variety of agricultural applications.
M. Maimaitijiang   +12 more
doaj   +1 more source

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