Results 221 to 230 of about 1,015,943 (285)

Snehalata Deshmukh: A Doyen Bids Adieu

open access: yesJournal of Indian Association of Pediatric Surgeons
Sanjay Oak
doaj   +1 more source

The European honey buzzard (Pernis apivorus) as an ally for the control of the invasive yellow‐legged hornet (Vespa velutina nigrithorax)

open access: yesPest Management Science, Volume 81, Issue 4, Page 2237-2247, April 2025.
The predatory effect of the honey‐buzzard affects the reproductive performance of Asian‐hornet colonies, decreasing the density of workers over distance and time. The foraging distances of the honey‐buzzard concentrates within the first 2000 m from nest, which supports the results observed.
Jorge Ángel Martín‐Ávila   +3 more
wiley   +1 more source

ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that ECOSTRESS lands surface temperature (LST) data are sensitive to forest thinning, regional drought, and their interaction. Consistent with high‐resolution UAV images, ECOSTRESS LST data indicate thinned forest had significantly greater temperature across years.
Temuulen Tsagaan Sankey   +9 more
wiley   +1 more source

Commodity risk assessment of oak and walnut logs from the US. [PDF]

open access: yesEFSA J
EFSA Panel on Plant Health (PLH)   +30 more
europepmc   +1 more source

DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
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

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner   +21 more
wiley   +1 more source

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