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Remote Sensing in Ecology and Conservation
Scopus
ISSN 2056-3485 · Wiley · 353 artikel di indeks
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Artikel Jurnal
Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network
Abstract Boreal forests are a key component of the global carbon cycle, forming North America's most extensive biome. Different successional stages in boreal forests have varying levels of ecological values and biodiversity, which in turn affect their functions. A knowledge gap remains concerning…
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Artikel Jurnal
Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems
Abstract Automated detectors such as camera traps allow the efficient collection of large amounts of data for the monitoring of animal populations, but data processing and classification are a major bottleneck. Deep learning algorithms have gained increasing attention in this context, as they have…
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Artikel Jurnal
Quantifying aboveground herbaceous biomass in grassy ecosystems: a comparison of field and high‐resolution UAV‐LiDAR approaches
Abstract Grassy ecosystems cover >25% of the world's land surface area. The abundance of herbaceous vegetation in these systems directly impacts a variety of ecological processes, including carbon sequestration, regulation of water and nutrient cycling, and support of grazing wildlife and…
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Artikel Jurnal
Tourist sightings improve the precision of camera trap‐derived density estimates using spatial capture‐recapture models
Abstract Spatial capture‐recapture (SCR) provides the gold standard for robust population estimates where animals are individually identifiable. Sampling for large carnivores is often conducted over short timeframes to meet assumptions of population closure. As large carnivores are often elusive…
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Artikel Jurnal
ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts
Abstract Southwestern US forests are experiencing increasing wildfire activity, and land managers are implementing large‐scale forest thinning treatments. We investigated semi‐arid ponderosa pine forest thinning treatment and regional drought impacts on ECOSTRESS land surface temperature (LST) and…
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Artikel Jurnal
Integrating terrestrial and canopy laser scanning for comprehensive analysis of large old trees: Implications for single tree and biodiversity research
Abstract Large old trees provide multiple ecosystem services and contribute disproportionately to forest biomass and biodiversity. Yet their canopies remain among the least‐explored terrestrial habitats, despite their structural influence on key ecological processes such as light interception…
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Artikel Jurnal
Inferring camera trap detection zones for rare species using species‐ and camera‐specific traits: a meta‐level analysis
Abstract Camera trapping is a vital tool for wildlife monitoring. Accurately estimating a camera's detection zone, the area where animals are detected, is essential, particularly for calculating population densities of unmarked species. However, obtaining enough detection events to estimate…
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Artikel Jurnal
HOWLish: a CNN for automated wolf howl detection
Abstract Automated sound‐event detection is crucial for large‐scale passive acoustic monitoring of wildlife, but the availability of ready‐to‐use tools is narrow across taxa. Machine learning is currently the state‐of‐the‐art framework for developing sound‐event detection tools tailored to specific…
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Artikel Jurnal
Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage
Abstract Advances in camera and data storage technology have revolutionized the ability of scientists to acquire large volumes of finely resolved wildlife monitoring data. This is especially valuable for breeding bird research, which often requires and benefits from continuous nest monitoring…
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Artikel Jurnal
DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery
Abstract Understanding how waterfowl respond to habitat restoration and management activities is crucial for evaluating and refining conservation delivery programs. However, site‐specific waterfowl monitoring is challenging, especially in heavily forested systems such as the Mississippi Alluvial…
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Artikel Jurnal
Deep learning‐based ecological analysis of camera trap images is impacted by training data quality and quantity
Abstract Large image collections generated from camera traps offer valuable insights into species richness, occupancy, and activity patterns, significantly aiding biodiversity monitoring. However, the manual processing of these data sets is time‐consuming, hindering analytical processes. To address…
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Artikel Jurnal
Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs
Abstract Accurate forest age estimation is essential for understanding forest recovery trajectories and evaluating the efficacy of restoration strategies. While field‐based methods for forest age estimation offer high accuracy, they are spatially constrained and challenging to apply…
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Artikel Jurnal
On the compatibility of single‐scan terrestrial LiDAR with digital photogrammetry and field inventory metrics of vegetation structure in forest and agroforestry landscapes
Abstract In tropical ecosystems, accurately quantifying vegetation structure is crucial to determining their capacity to deliver ecosystem services. Terrestrial laser scanning (TLS) and UAV‐based digital aerial photogrammetry (DAP) are remote sensing tools used to assess vegetation structure, but…
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Artikel Jurnal
Programmed unmanned aerial vehicles show great potential for monitoring marine megafauna in specific areas of interest
Abstract 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…
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Artikel Jurnal
Cameras do not always take a full picture: wolf activity patterns revealed by accelerometers versus road‐positioned camera traps
Abstract While animal‐attached devices provide the most detailed information on animal behaviour, camera traps have become an increasingly popular non‐invasive alternative in wildlife ecology. Here, we compared activity patterns of wolves (Canis lupus) assessed with accelerometers and…
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Artikel Jurnal
Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model
Abstract Tree canopy height is a key indicator of forest biomass, productivity and structure, yet measuring it accurately at regional or larger scales, whether from the ground or remotely, remains challenging. The objective of this study is to generate the first complete canopy height map of the…
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Artikel Jurnal
Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images
Abstract Mapping and managing invasive plants are top priorities for land managers, but traditional approaches are time and labor‐intensive. To improve detection efforts, we explored the effectiveness of hyperspectral, drone‐based detection algorithms that incorporate phenology. We collected…
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Artikel Jurnal
Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping
Abstract Complex coastal seascapes harbor high marine biodiversity from which humans derive numerous ecosystem services. Maps of benthic habitats are important tools used to inform coastal development and conservation efforts. Seafloor imagery is commonly used to collect information about the…
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Artikel Jurnal
Using time‐series remote sensing to identify and track individual bird nests at large scales
Abstract The challenges of monitoring wildlife often limit the scales and intensity of the data that can be collected. New technologies—such as remote sensing using unoccupied aircraft systems (UASs)—can collect information more quickly, over larger areas, and more frequently than is feasible using…
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Artikel Jurnal
Modelling forest dynamics using integral projection models and repeat lidar
Abstract Estimating tree life histories and population dynamics is key to predicting how forests respond to climate change and disturbance. However, linking individual tree trajectories to whole‐forest outcomes (e.g. structural, compositional, and functional health) remains challenging…