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 2022-06-01 to 2026-06-01.)
ArticleCitations
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays70
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability68
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Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning46
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests46
Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage46
Countrywide classification of permanent grassland habitats at high spatial resolution39
Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park35
Tracking Wintertime Behaviour of Emperor Penguins Using High‐Resolution Synthetic Aperture Radar Imagery29
Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron29
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Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest28
Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs26
Quantifying nocturnal bird migration using acoustics: opportunities and challenges25
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats24
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes24
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests24
Remote monitoring of short‐term body mass variation in savanna ungulates23
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery23
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Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution21
Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images21
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar21
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model21
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems21
Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications20
Scalable low‐cost seabed landers: the missing link for sustained, integrated, long‐term observations in dynamic shallow seas19
Spatial distribution and drivers of aboveground forest biomass in Mexico using GEDI and national forest inventory data19
Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean18
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Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat17
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ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts17
A new way to understand migration routes of oceanic squid (Ommastrephidae) from satellite data17
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem17
Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network17
UAV data and deep learning: efficient tools to map ant mounds and their ecological impact16
Using time‐series remote sensing to identify and track individual bird nests at large scales16
Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data16
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania16
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Evaluating land–sea linkages using land cover change and coral reef monitoring data: A case study from northeastern Puerto Rico15
Using spatiotemporal information in weather radar data to detect and track communal roosts15
Automated extraction of right whale morphometric data from drone aerial photographs15
Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery14
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Efficacy of machine learning image classification for automated occupancy‐based monitoring13
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Towards edge processing of images from insect camera traps13
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Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians13
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
Drone‐mounted audio‐visual deterrence of bats: implications for reducing aerial wildlife mortality by wind turbines12
How to achieve accurate wildlife detection by using vehicle‐mounted mobile monitoring images and deep learning?12
Remotely sensing coral bleaching in the Red Sea12
Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins12
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery12
Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring12
Random encounter model is a reliable method for estimating population density of multiple species using camera traps12
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species12
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques12
Beyond tree cover: Characterizing southern China's forests using deep learning12
Inferring camera trap detection zones for rare species using species‐ and camera‐specific traits: a meta‐level analysis11
Comparison of bird migration in a radar wind profiler and a dedicated bird radar11
StrucNet: a global network for automated vegetation structure monitoring11
Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights10
Integrating terrestrial and canopy laser scanning for comprehensive analysis of large old trees: Implications for single tree and biodiversity research10
Accounting for animal movement during aerial imaging surveys10
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Tracking canopy gaps in mangroves remotely using deep learning10
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Hareport hazard: Identifying hare activity patterns and increased mammal–aircraft strike risk at an International Airport10
Highly precise community science annotations of video camera‐trapped fauna in challenging environments9
Imperfect detection and wildlife density estimation using aerial surveys with infrared and visible sensors9
Resource pulses and human–wildlife conflicts: linking satellite indicators and ground data on forest productivity to predict brown bear damages9
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Colony‐nesting gulls restrict activity levels of a native top carnivore during the breeding season9
A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest9
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Exploring the link between spectral variance and upper canopy taxonomic diversity in a tropical forest: influence of spectral processing and feature selection8
Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine8
Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan8
Using camera traps to monitor cyclic vole populations8
Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning8
Identification of initial vegetation and habitat changes in small temperate fens using remote sensing8
The vulnerability and resilience of seagrass ecosystems to marine heatwaves in New Zealand: a remote sensing analysis of seascape metrics usingPlanetScopeimagery8
Tourist sightings improve the precision of camera trap‐derived density estimates using spatial capture‐recapture models7
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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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Canopy palm cover across the Brazilian Amazon forests mapped with airborneLiDARdata and deep learning7
Illuminating the Arctic: Unveiling seabird responses to artificial light during polar darkness through citizen science and remote sensing7
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Seabird surveillance: combining CCTV and artificial intelligence for monitoring and research7
High‐intensity bird migration along Alpine valleys calls for protective measures against anthropogenically induced avian mortality7
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Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management6
Knee height is often right: evaluating device height effects on camera trapping rate6
Examining wildfire dynamics using ECOSTRESS data with machine learning approaches: the case of South‐Eastern Australia's black summer6
Automated identification of hedgerows and hedgerow gaps using deep learning5
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Challenges and solutions for automated avian recognition in aerial imagery5
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
Hyperspectral imagery, LiDAR point clouds, and environmental DNA to assess land‐water linkage of b5
Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs5
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Prospects for monitoring bird migration along the East Asian‐Australasian Flyway using weather radar5
Beyond presence mapping: predicting fractional cover of non‐native vegetation in Sentinel‐2 imagery using an ensemble of MaxEnt models4
Cameras do not always take a full picture: wolf activity patterns revealed by accelerometers versus road‐positioned camera traps4
Eigenfeature‐enhanced deep learning: advancing tree species classification in mixed conifer forests with lidar4
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
Echolocation repetition rate as a proxy to monitor population structure and dynamics of sperm whales4
Precipitation and temperature drive woody vegetation dynamics in the grasslands of sub‐Saharan Africa4
The application of unoccupied aerial systems (UAS) for monitoring intertidal oyster density and abundance4
HOWLish : a CNN for automated wolf howl detection4
Climate‐Driven Mangrove Dieback and Recovery: A Case Study in Albert and Leichhardt Rivers, Australia4
Combining environmental DNA with remote sensing variables to map fish species distributions along a large river4
Structure‐from‐motion photogrammetry demonstrates that fine‐scale seascape heterogeneity is essential in shaping mesophotic fish assemblages3
Using satellite data to assess spatial drivers of bird diversity3
Invasion in the Niger Delta: remote sensing of mangrove conversion to invasive Nypa fruticans from 2015 to 20203
Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology3
Coherence of recurring fires and land use change in South America3
A satellite perspective on the movement decisions of African elephants in relation to nomadic pastoralists3
Approaching a population‐level assessment of body size in pinnipeds using drones, an early warning of environmental degradation3
Automated visitor and wildlife monitoring with camera traps and machine learning3
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Global disparity of camera trap research allocation and defaunation risk of terrestrial mammals3
Mapping the long‐term influence of river discharge on coastal ocean chlorophyll‐a3
Time‐series remote sensing of rice paddy expansion in the Yellow River Delta: Towards sustainable ecological conservation in the context of water scarcity3
Both Landsat‐ and LiDAR‐derived measures predict forest bee response to large‐scale wildfire3
Global monitoring of soil multifunctionality in drylands using satellite imagery and field data3
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