Results 131 to 140 of about 48,962 (279)

Spraying drones: efficacy of integrating an avian repellent with drone hazing to elicit blackbird flock dispersal and abandonment of sunflower fields

Wildlife Biology, EarlyView.
Multiple management strategies exist to combat bird damage to agriculture. We explored combining two tools, drones as frightening devices and an avian repellent, to assess effectiveness of an integrated method to deter large flocks on complex landscapes. We evaluated the ability of a spraying drone (DJI Agras MG‐1P) deploying Avian Control (i.e. active
Jessica L. Duttenhefner, Timothy J. Greives, Page E. Klug   +2 more
wiley   +1 more source

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

Wildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin, Fadel Seydou, Radloff Frans, Andrew Davies, Alison Leslie   +4 more
wiley   +1 more source

Design and Construction of UAV-Based Measurement System for Water Hyperspectral Remote-Sensing Reflectance

Sensors
Acquiring a large number of in situ water spectral measurements is fundamental for constructing water color remote-sensing retrieval models and validating the accuracy of water color remote-sensing products.
Haohui Zeng, Xianqiang He, Yan Bai, Fang Gong, Difeng Wang, Xuan Zhang   +5 more
doaj   +1 more source

Application of UAVs and Remote Sensing Technologies for Atmospheric CO2 Capturing: A Study Application of UAVs and Remote Sensing in CO2 Reductions

Journal of Geosciences and Environmental Studies
Human activities are a significant contributor to climate change, with rising levels of CO₂ in the atmosphere. Several carbon capture and sequestration (CCS) methods have been developed to address this issue. Uncrewed Aerial Vehicles (UAVs) and remote sensing technologies are emerging as significant improvements to the efficiency and effectiveness of ...
Biplov Paneru, Bishwash Paneru, Ramhari Poudyal, Khem Poudyal   +3 more
openaire   +1 more source

Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR

Wildlife Biology, EarlyView.
Identifying the spatial and temporal scale at which animals select resources is critical for predicting how populations respond to changes in the environment. The spatial distribution of fine‐scale resources (e.g. patches of dense vegetation) are often linked with critical life‐history requirements such as denning and feeding sites.
Alexej P. K. Sirén, Franklin Sullivan, Rachel Cliché, Jeremy Goetz, Leighlan S. Prout, Jillian Kilborn, Katelyn Courtot, Michael Palace   +7 more
wiley   +1 more source

Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain

Wildlife Biology, EarlyView.
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund, Torbjørn Ergon, Simon Filhol, Atle Mysterud   +3 more
wiley   +1 more source

More Precise Monitoring of Soil Moisture Content in Agricultural Fields by Upscaling Conversion of Multispectral Image Data From Unmanned Aerial Vehicles

IEEE Access
The utilization of unmanned aerial vehicle (UAV) remote sensing allows for fast and effective soil moisture content (SMC) monitoring. Scale conversion can obtain remote sensing images at multiple resolutions and offer the possibility of improving the ...
Yifan Wang, Yi Ma, Fangrong Zhou, Zugui Huang, Yifei Yao   +4 more
doaj   +1 more source

Drone‐based radiotelemetry and imagery systems provide an advantage over traditional techniques for estimating survival of dependent juveniles

Wildlife Society Bulletin, EarlyView.
We used drone‐based radiotelemetry and multispectral imagery to estimate detection and survival probabilities of blue‐winged teal broods in Saskatchewan, Canada. Weekly brood survival probabilities, estimated via Cormack‐Jolly‐Seber models, increased with age and were comparable between drone methods.
Grant A. Rhodes, Dylan L. Bakner, Hannah C. Sabatier, Benjamin S. Sedinger, Christopher A. Nicolai, Kevin M. Ringelman   +5 more
wiley   +1 more source

Modelling the Four‐Dimensional Power Line Sag Dynamics by Point Signature in Time‐Series Synthetic‐Aperture Radar Images

High Voltage, EarlyView.
ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma, Tao Li, Mahdi Motagh, Yan Liu, Yangmao Wen   +4 more
wiley   +1 more source

UAV‐Based Remote Sensing [PDF]

, 2018
openaire   +3 more sources