Results 141 to 150 of about 103,717 (290)
DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery
Using drones with thermal‐RGB sensors and a deep learning model (RetinaNet with ResNet‐50), we surveyed non‐breeding waterfowl across restored wetlands in the Mississippi Alluvial Valley. Our model, DuckNet, achieved high accuracy and offers an open‐source, customizable tool for automated waterfowl detection to support conservation monitoring ...
Zack Loken +4 more
wiley +1 more source
UAVs unveil the role of small scale vegetation structure on wader nest survival
In this study, we combine high‐resolution vegetation structural metrics derived from unmanned aerial vehicle (UAV) imagery with on‐field wader nest survival monitoring. We show that the immediate vegetation height and heterogeneity within a 2‐meter buffer surrounding the clutch of the recorded ground‐nesting wader species positively influenced its ...
Miguel Silva‐Monteiro +5 more
wiley +1 more source
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen +7 more
wiley +1 more source
Forecasting world and regional aviation Jet-Fuel demands to the mid term (2025). [PDF]
This article provides jet fuel demand projections at the worldwide level and for eight geographical zones until 2025. Air traffic forecasts are performed using dynamic panel-data econometrics.
Chevallier, Julien +2 more
core
Enkelstations-RTK eller Nätverks-RTK : I Naturvårdsuppdrag
Sammanfattning Förutsättning I examensarbetet har det ingått ett verkligt ärende som handläggs av mig som MBK-ingenjör inom Lantmäteriet. Det är ett naturvårdsuppdrag från Länsstyrelsen och innefattar bl a inmätning och utstakning av gräns på ett blivande naturreservat.
openaire +1 more source
Kıyı bölgelerde Klasik-RTK ve Ağ-RTK ölçme yöntemlerinin karşılaştırılması
Since the beginning of human life, human beings have wanted to know their position and have therefore tried to find out where they are and where they are going. Researches and inventions that have shaped this situation have followed one another. The most remarkable of these inventions is GPS (Global Positioning Systems). Positioning by satellites later
openaire +1 more source
Using time‐series remote sensing to identify and track individual bird nests at large scales
Time‐series airborne imagery can potentially track individuals over time to collect information beyond one‐off counts. Using weekly UAS‐based imagery of wading bird colonies, we develop an automated approach to identifying nests. Our algorithmic approach detected 68–74% of known nests and exhibited similar performance to human review of imagery ...
S. K. Morgan Ernest +6 more
wiley +1 more source
Modified RTK-GNSS for Challenging Environments
Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) is currently the premier technique for achieving centimeter-level accuracy quickly and easily. However, the robustness of RTK-GNSS diminishes in challenging environments due to severe multipath effects and a limited number of available GNSS signals.
Ellarizza Fredeluces +3 more
openaire +4 more sources
Comparative Analysis of GNSS (RTK) and Total Station-Derived Results in Topographical Mapping [PDF]
Faith Ozofu Olatunde +1 more
openalex +1 more source

