Remote Sensing in Ecology and Conservation

Papers
(The TQCC of Remote Sensing in Ecology and Conservation is 11. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-07-01 to 2026-07-01.)
ArticleCitations
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays79
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability49
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Tracking Wintertime Behaviour of Emperor Penguins Using High‐Resolution Synthetic Aperture Radar Imagery40
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning37
Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage31
Countrywide classification of permanent grassland habitats at high spatial resolution30
Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park29
Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron27
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests26
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Quantifying nocturnal bird migration using acoustics: opportunities and challenges24
Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs24
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats24
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest24
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests23
Remote monitoring of short‐term body mass variation in savanna ungulates22
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes22
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery22
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Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems21
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar21
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Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications20
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model20
Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images19
Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution19
Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean18
Scalable low‐cost seabed landers: the missing link for sustained, integrated, long‐term observations in dynamic shallow seas18
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem18
Spatial distribution and drivers of aboveground forest biomass in Mexico using GEDI and national forest inventory data18
Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network17
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ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts17
Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat17
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UAV data and deep learning: efficient tools to map ant mounds and their ecological impact16
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A new way to understand migration routes of oceanic squid (Ommastrephidae) from satellite data16
Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data15
Using time‐series remote sensing to identify and track individual bird nests at large scales15
Using spatiotemporal information in weather radar data to detect and track communal roosts15
Evaluating land–sea linkages using land cover change and coral reef monitoring data: A case study from northeastern Puerto Rico15
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Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery14
Efficacy of machine learning image classification for automated occupancy‐based monitoring14
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Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians14
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Towards edge processing of images from insect camera traps13
Automated extraction of right whale morphometric data from drone aerial photographs13
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Using Airborne Laser Scanning and Sentinel‐2 to Understand Subcanopy Light Regimes and Understory Diversity of Vascular Plants in Temperate Mountain Forests12
Beyond tree cover: Characterizing southern China's forests using deep learning12
Remotely sensing coral bleaching in the Red Sea12
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species12
The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates individual identification of leopards via their roars12
Walruses from space: walrus counts in simultaneous remotely piloted aircraft system versus very high‐resolution satellite imagery12
Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins12
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques11
StrucNet: a global network for automated vegetation structure monitoring11
Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring11
Inferring camera trap detection zones for rare species using species‐ and camera‐specific traits: a meta‐level analysis11
How to achieve accurate wildlife detection by using vehicle‐mounted mobile monitoring images and deep learning?11
Drone‐mounted audio‐visual deterrence of bats: implications for reducing aerial wildlife mortality by wind turbines11
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