Remote Sensing in Ecology and Conservation

Papers
(The median citation count of Remote Sensing in Ecology and Conservation is 3. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays87
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability51
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Tracking Wintertime Behaviour of Emperor Penguins Using High‐Resolution Synthetic Aperture Radar Imagery41
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 footage33
Countrywide classification of permanent grassland habitats at high spatial resolution32
Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park30
Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron29
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest26
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Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests26
Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs25
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats24
Remote monitoring of short‐term body mass variation in savanna ungulates24
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes23
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery23
Quantifying nocturnal bird migration using acoustics: opportunities and challenges23
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Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests23
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems21
Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images21
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Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model20
Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications20
Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution20
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar20
Scalable low‐cost seabed landers: the missing link for sustained, integrated, long‐term observations in dynamic shallow seas19
Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network18
Spatial distribution and drivers of aboveground forest biomass in Mexico using GEDI and national forest inventory data18
ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts18
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Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean18
Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat17
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem17
Evaluating land–sea linkages using land cover change and coral reef monitoring data: A case study from northeastern Puerto Rico16
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 data16
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UAV data and deep learning: efficient tools to map ant mounds and their ecological impact16
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Environmental Stressors Influence Spatial Complexity in a Fluvial Macrophyte meadow15
Using spatiotemporal information in weather radar data to detect and track communal roosts15
Citizen Science for Individual Identification of Pine Martens Martes martes From Camera Trap Footage15
Using time‐series remote sensing to identify and track individual bird nests at large scales15
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Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery14
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Automated extraction of right whale morphometric data from drone aerial photographs13
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Towards edge processing of images from insect camera traps13
Efficacy of machine learning image classification for automated occupancy‐based monitoring13
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Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians13
Beyond tree cover: Characterizing southern China's forests using deep learning12
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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
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
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
Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring11
Drone‐mounted audio‐visual deterrence of bats: implications for reducing aerial wildlife mortality by wind turbines11
Remotely sensing coral bleaching in the Red Sea11
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques11
How to achieve accurate wildlife detection by using vehicle‐mounted mobile monitoring images and deep learning?11
Comparison of bird migration in a radar wind profiler and a dedicated bird radar10
Integrating terrestrial and canopy laser scanning for comprehensive analysis of large old trees: Implications for single tree and biodiversity research10
Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery10
StrucNet: a global network for automated vegetation structure monitoring10
Accounting for animal movement during aerial imaging surveys10
Hareport hazard: Identifying hare activity patterns and increased mammal–aircraft strike risk at an International Airport10
Inferring camera trap detection zones for rare species using species‐ and camera‐specific traits: a meta‐level analysis10
Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights9
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Colony‐nesting gulls restrict activity levels of a native top carnivore during the breeding season9
Highly precise community science annotations of video camera‐trapped fauna in challenging environments9
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The vulnerability and resilience of seagrass ecosystems to marine heatwaves in New Zealand: a remote sensing analysis of seascape metrics usingPlanetScopeimagery8
Identification of initial vegetation and habitat changes in small temperate fens using remote sensing8
Seabird surveillance: combining CCTV and artificial intelligence for monitoring and research8
Issue Information8
Resource pulses and human–wildlife conflicts: linking satellite indicators and ground data on forest productivity to predict brown bear damages8
A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest8
Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan8
Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine8
Exploring the link between spectral variance and upper canopy taxonomic diversity in a tropical forest: influence of spectral processing and feature selection8
Assessing experimental silvicultural treatments enhancing structural complexity in a central European forest – BEAST time‐series analysis based on Sentinel‐1 and Sentinel‐27
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Imperfect detection and wildlife density estimation using aerial surveys with infrared and visible sensors7
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Illuminating the Arctic: Unveiling seabird responses to artificial light during polar darkness through citizen science and remote sensing7
Using camera traps to monitor cyclic vole populations7
Fusion or Confusion? Assessing the Impact of Visible‐Thermal Image Fusion for Automated Wildlife Detection6
Examining wildfire dynamics using ECOSTRESS data with machine learning approaches: the case of South‐Eastern Australia's black summer6
Tourist sightings improve the precision of camera trap‐derived density estimates using spatial capture‐recapture models6
High‐intensity bird migration along Alpine valleys calls for protective measures against anthropogenically induced avian mortality6
frontiermetrics : An R Package for Characterizing Deforestation Frontiers6
Development and Evaluation of a Low‐Cost, Semi‐Automated Camera Trap for Surveying Bumble Bee Communities6
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Knee height is often right: evaluating device height effects on camera trapping rate6
Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs5
Challenges and solutions for automated avian recognition in aerial imagery5
Hyperspectral imagery, LiDAR point clouds, and environmental DNA to assess land‐water linkage of b5
Automated identification of hedgerows and hedgerow gaps using deep learning5
Efficient and Accurate Spatio‐Temporal Population Monitoring of Mobile Animals Using Drones and Computer Vision5
Prospects for monitoring bird migration along the East Asian‐Australasian Flyway using weather radar5
Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management5
Robust retrieval of forest canopy structural attributes using multi‐platform airborne LiDAR5
Unoccupied aerial vehicles as a tool to map lizard operative temperature in tropical environments5
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The application of unoccupied aerial systems (UAS) for monitoring intertidal oyster density and abundance4
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Selection in the third dimension: Using LiDAR derived canopy metrics to assess individual and population‐level habitat partitioning of ocelots, bobcats, and coyotes4
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A comparison of established and digital surface model (DSM) ‐based methods to determine population estimates and densities for king penguin colonies, using fixed‐wing drone and satellite imagery4
Precipitation and temperature drive woody vegetation dynamics in the grasslands of sub‐Saharan Africa4
Cameras do not always take a full picture: wolf activity patterns revealed by accelerometers versus road‐positioned camera traps4
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Beyond presence mapping: predicting fractional cover of non‐native vegetation in Sentinel‐2 imagery using an ensemble of MaxEnt models4
HOWLish : a CNN for automated wolf howl detection4
Eigenfeature‐enhanced deep learning: advancing tree species classification in mixed conifer forests with lidar4
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Improved Cerrado Wetland Mapping Through Seasonal Moisture Metrics, Terrain Information and Semantic Segmentation4
Global disparity of camera trap research allocation and defaunation risk of terrestrial mammals3
Automated visitor and wildlife monitoring with camera traps and machine learning3
Climate‐Driven Mangrove Dieback and Recovery: A Case Study in Albert and Leichhardt Rivers, Australia3
Time‐series remote sensing of rice paddy expansion in the Yellow River Delta: Towards sustainable ecological conservation in the context of water scarcity3
Combining environmental DNA with remote sensing variables to map fish species distributions along a large river3
Approaching a population‐level assessment of body size in pinnipeds using drones, an early warning of environmental degradation3
Invasion in the Niger Delta: remote sensing of mangrove conversion to invasive Nypa fruticans from 2015 to 20203
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