Results 261 to 270 of about 161,562 (352)

Integrating terrestrial and canopy laser scanning for comprehensive analysis of large old trees: Implications for single tree and biodiversity research

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Canopy laser scanning (CLS) enhances 3D measurements of large trees by lifting laser scanners into the canopy. Combining CLS with terrestrial laser scanning improves point cloud precision, reduces occlusion and enables detailed assessments of tree architecture and canopy biodiversity, opening new opportunities for forest ecology.
Barbara D'hont   +12 more
wiley   +1 more source

Biodiversity in mountain groundwater: the Mercantour National Park (France) as a European hotspot

open access: green, 2015
Marie‐José Dole‐Olivier   +6 more
openalex   +2 more sources

HOWLish: a CNN for automated wolf howl detection

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Automated detection of wolf howls presents a great opportunity for large‐scale passive acoustic monitoring of wolf populations. Here we present HOWLish, a CNN trained for automated wolf howl detection, based on thousands of hours of soundscapes recorded in the wild.
Rafael Campos   +3 more
wiley   +1 more source

Tourist sightings improve the precision of camera trap‐derived density estimates using spatial capture‐recapture models

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
In this study, we combine tourist‐contributed images with camera trap‐based monitoring data to estimate leopard (Panthera pardus) population densities using multi‐session spatial capture–recapture models. We show that incorporating tourist observations improves precision and yields an overall density estimate of 7.02 leopards per 100 km2, while ...
Rachael S. Leeman   +6 more
wiley   +1 more source

TABLE 2 in Hidden biodiversity on the highest mountain in southern Vietnam: the fourth species of Cyrtodactylus Gray, 1927 (Squamata: Gekkonidae) from Tay Ninh Province

open access: green
Quyen Hanh Do   +8 more
openalex   +1 more source

Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We tested the effect of using a readily available deep learning algorithm for animal species classification on the population density estimates of eight wild mammal species in 10 protected areas (Da). In general, there were no significant differences to the manual estimates (Dm) for all animal species and seasons.
Maik Henrich   +15 more
wiley   +1 more source

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