Results 111 to 120 of about 123,203 (295)

Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights

Remote Sensing in Ecology and Conservation, EarlyView.
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan, Cristina Banks‐Leite, Mirko Kovac, Jenna Lawson, Lorenzo Picinali, Sarab S. Sethi   +5 more
wiley   +1 more source

UAV-based Forest Fire Detection and Localization Using Visual and Thermal Cameras [PDF]

, 2020
Mohsen Sadi
openalex  

UAV Technology

, 2020
Amongst others, Unmanned Aerial Vehicles (UAVs) are emerging as a tool for alternative land tenurerecording. The advent of low cost, reliable and lightweight UAVs has created new opportunities forcollecting timely, tailored and high-quality geospatial information.
Stöcker, C., Koeva, M.N., Nkerabigwi, Placide, Zevenbergen, J.A.   +3 more
openaire   +1 more source

Programmed unmanned aerial vehicles show great potential for monitoring marine megafauna in specific areas of interest

Remote Sensing in Ecology and Conservation, EarlyView.
Targeted conservation measures are contingent on robust knowledge of spatio‐temporal animal distribution in areas of interest. We explore unmanned aerial vehicle (UAV) transect monitoring as a novel method for standardized digital aerial surveys of marine megafauna by investigating the fine‐resolution spatio‐temporal distribution of harbour porpoises ...
Dinah Hartmann, Valdemar Palmqvist, Johanna Stedt   +2 more
wiley   +1 more source

On the compatibility of single‐scan terrestrial LiDAR with digital photogrammetry and field inventory metrics of vegetation structure in forest and agroforestry landscapes

Remote Sensing in Ecology and Conservation, EarlyView.
The single‐scan approach to terrestrial laser scanning (TLS) and the self‐terrain‐normalized form of drone‐based digital aerial photogrammetry (DAP) offer practical options for rapid assessment of the vegetation structure in tropical landscapes.
Magnus Onyiriagwu, Nereoh Leley, Caleb W. T. Ngaba, Anthony Macharia, Henry Muchiri, Abdalla Kisiwa, Martin Ehbrecht, Delphine Clara Zemp   +7 more
wiley   +1 more source

How Flat is Flat? Investigating the spatial variability of snow surface temperature and roughness on landfast sea ice using UAVs in McMurdo Sound, Antarctica [PDF]

Julia Martin, Ruzica Dadić, Brian A. Anderson, Roberta Pirazzini, Oliver Wigmore, Lauren Vargo   +5 more
openalex   +1 more source

Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images

Remote Sensing in Ecology and Conservation, EarlyView.
Using drone‐based hyperspectral images of mixed temperate successional forests collected over a growing season, detection algorithms were produced for three invasive species of interest, which are not only invasive in Virginia but also much of the U.S.: Ailanthus altissima (tree of heaven), Elaeagnus umbellata (autumn olive), and Rhamnus davurica ...
Kelsey S. Huelsman, Howard E. Epstein, Xi Yang, Roderick Walker   +3 more
wiley   +1 more source

Adaptive Link Optimization for 802.11 UAV Uplink Using A Reconfigurable Antenna

, 2017
S. Wolfe, Stephen Wolfe, Kapil R. Dandekar   +2 more
openalex   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Application of Low-Altitude UAV Remote Sensing Image Object Detection Based on Improved YOLOv5 [PDF]

, 2022
Ziran Li, Akio Namiki, Satoshi Suzuki, Qi Wang, Tianyi Zhang, Wei Wang   +5 more
openalex   +1 more source