Results 61 to 70 of about 3,862 (189)
Remote Sensing in Ecology and Conservation, EarlyView.We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román +8 more
wiley +1 more source
AgronomyThis study evaluates the performance of LiDAR sensing and UAV photogrammetry for three-dimensional canopy reconstruction and structural parameter estimation in precision agriculture under Mediterranean conditions.
Santo Orlando +5 more
doaj +1 more source
UAV-Based LiDAR System for Urban Mapping and Modelling Applications [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThis paper presents urban mapping and modelling utilizing a low-cost Unmanned Aerial Vehicle (UAV) mounted Light Detection and Ranging (LiDAR) systems. Urban environments pose unique challenges for traditional mapping techniques due to their complex and ...
M. El-Diasty, A. Al-Hashim, R. Abdalla
doaj +1 more source
Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel +2 more
wiley +1 more source
Multitemporal UAV LiDAR detects seasonal heave and subsidence on palsas
The CryosphereIn the context of the accelerating impacts of climate change on permafrost landscapes, this study employs UAV (Unmanned Aerial Vehicle) LiDAR technology to investigate seasonal terrain changes in palsas – mounds of frozen peat – since traditional remote sensing methods have struggled to capture the full dynamics of these landforms ...
Cas Renette +4 more
openaire +4 more sources
High Voltage, EarlyView.ABSTRACT Heavy construction machinery is essential for power infrastructure construction and maintenance, making safety distance measurement crucial for ensuring operational safety. Existing methods, which rely on target space mapping, face challenges such as error accumulation and limited accuracy.
Fuqi Ma +4 more
wiley +1 more source
Remote SensingQuantifying the vegetation aboveground biomass (AGB) is crucial for evaluating environment quality and estimating blue carbon in coastal wetlands.
Chentian Ge +5 more
doaj +1 more source
Methods in Ecology and Evolution, EarlyView.Abstract Tree crowns are complex, three‐dimensional structures whose morphology varies among species, individuals and environments. Although light detection and ranging (LiDAR) provides high‐resolution, single‐tree point clouds that advance species discrimination and the assessment of intraspecific variation in situ, crown shape is still commonly ...
Ladislav Hodač +5 more
wiley +1 more source
Rill Erosion and Drainage Development in Post-Landslide Settings Using UAV–LiDAR Data
Soil SystemsAccurate microtopography data are an important input for characterizing small-scale rill erosion and its progression following disturbances. UAV–LiDAR systems are increasingly accessible and have successfully been used to measure microtopography data for
Xinyu Chen +6 more
doaj +1 more source
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications
Remote Sensing, 2020 Accurate and repeated forest inventory data are critical to understand forest ecosystem processes and manage forest resources. In recent years, unmanned aerial vehicle (UAV)-borne light detection and ranging (lidar) systems have demonstrated ...
Tianyu Hu +6 more
doaj +1 more source