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 2022-05-01 to 2026-05-01.)
ArticleCitations
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays67
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability65
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Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park48
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Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning44
Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage43
Countrywide classification of permanent grassland habitats at high spatial resolution36
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests34
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study29
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Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest27
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats26
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes25
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery24
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
Quantifying nocturnal bird migration using acoustics: opportunities and challenges23
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Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images22
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems21
Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution21
Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications21
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem20
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar20
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model20
Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network19
ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts19
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Scalable low‐cost seabed landers: the missing link for sustained, integrated, long‐term observations in dynamic shallow seas18
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Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean17
Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat17
Spatial distribution and drivers of aboveground forest biomass in Mexico using GEDI and national forest inventory data17
UAV data and deep learning: efficient tools to map ant mounds and their ecological impact16
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Using spatiotemporal information in weather radar data to detect and track communal roosts16
A new way to understand migration routes of oceanic squid (Ommastrephidae) from satellite data16
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania16
Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data16
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Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery15
Using time‐series remote sensing to identify and track individual bird nests at large scales15
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Evaluating land–sea linkages using land cover change and coral reef monitoring data: A case study from northeastern Puerto Rico15
Efficacy of machine learning image classification for automated occupancy‐based monitoring15
Automated extraction of right whale morphometric data from drone aerial photographs14
Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians14
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Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species13
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Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins13
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Towards edge processing of images from insect camera traps13
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery12
Remotely sensing coral bleaching in the Red Sea12
Beyond tree cover: Characterizing southern China's forests using deep learning12
How to achieve accurate wildlife detection by using vehicle‐mounted mobile monitoring images and deep learning?12
The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates individual identification of leopards via their roars12
Random encounter model is a reliable method for estimating population density of multiple species using camera traps12
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques12
Walruses from space: walrus counts in simultaneous remotely piloted aircraft system versus very high‐resolution satellite imagery12
Hareport hazard: Identifying hare activity patterns and increased mammal–aircraft strike risk at an International Airport11
StrucNet: a global network for automated vegetation structure monitoring11
Integrating terrestrial and canopy laser scanning for comprehensive analysis of large old trees: Implications for single tree and biodiversity research11
Comparison of bird migration in a radar wind profiler and a dedicated bird radar11
Drone‐mounted audio‐visual deterrence of bats: implications for reducing aerial wildlife mortality by wind turbines11
Accounting for animal movement during aerial imaging surveys11
Tracking canopy gaps in mangroves remotely using deep learning11
Inferring camera trap detection zones for rare species using species‐ and camera‐specific traits: a meta‐level analysis11
Colony‐nesting gulls restrict activity levels of a native top carnivore during the breeding season10
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Using camera traps to monitor cyclic vole populations10
Highly precise community science annotations of video camera‐trapped fauna in challenging environments10
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Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights10
A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest9
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Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine9
Identification of initial vegetation and habitat changes in small temperate fens using remote sensing9
Resource pulses and human–wildlife conflicts: linking satellite indicators and ground data on forest productivity to predict brown bear damages9
Canopy palm cover across the Brazilian Amazon forests mapped with airborneLiDARdata and deep learning9
Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan9
Seabird surveillance: combining CCTV and artificial intelligence for monitoring and research9
Exploring the link between spectral variance and upper canopy taxonomic diversity in a tropical forest: influence of spectral processing and feature selection9
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Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning8
Illuminating the Arctic: Unveiling seabird responses to artificial light during polar darkness through citizen science and remote sensing8
The vulnerability and resilience of seagrass ecosystems to marine heatwaves in New Zealand: a remote sensing analysis of seascape metrics usingPlanetScopeimagery8
Assessing experimental silvicultural treatments enhancing structural complexity in a central European forest – BEAST time‐series analysis based on Sentinel‐1 and Sentinel‐28
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Imperfect detection and wildlife density estimation using aerial surveys with infrared and visible sensors8
Tourist sightings improve the precision of camera trap‐derived density estimates using spatial capture‐recapture models7
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Knee height is often right: evaluating device height effects on camera trapping rate7
Effects of different management measures on soil conservation and the influence of environmental conditions: a case study involving UAV remote sensing on the Loess Plateau7
Examining wildfire dynamics using ECOSTRESS data with machine learning approaches: the case of South‐Eastern Australia's black summer7
Challenges and solutions for automated avian recognition in aerial imagery7
High‐intensity bird migration along Alpine valleys calls for protective measures against anthropogenically induced avian mortality7
Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management7
Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs7
Robust retrieval of forest canopy structural attributes using multi‐platform airborne LiDAR6
Automated identification of hedgerows and hedgerow gaps using deep learning6
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Prospects for monitoring bird migration along the East Asian‐Australasian Flyway using weather radar5
The application of unoccupied aerial systems (UAS) for monitoring intertidal oyster density and abundance5
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Unoccupied aerial vehicles as a tool to map lizard operative temperature in tropical environments5
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Cameras do not always take a full picture: wolf activity patterns revealed by accelerometers versus road‐positioned camera traps5
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Hyperspectral imagery, LiDAR point clouds, and environmental DNA to assess land‐water linkage of b5
Beyond presence mapping: predicting fractional cover of non‐native vegetation in Sentinel‐2 imagery using an ensemble of MaxEnt models5
HOWLish : a CNN for automated wolf howl detection5
Global disparity of camera trap research allocation and defaunation risk of terrestrial mammals4
Invasion in the Niger Delta: remote sensing of mangrove conversion to invasive Nypa fruticans from 2015 to 20204
Automated visitor and wildlife monitoring with camera traps and machine learning4
Echolocation repetition rate as a proxy to monitor population structure and dynamics of sperm whales4
Eigenfeature‐enhanced deep learning: advancing tree species classification in mixed conifer forests with lidar4
Monitoring shallow coral reef exposure to environmental stressors using satellite earth observation: the reef environmental stress exposure toolbox (RESET)4
A satellite perspective on the movement decisions of African elephants in relation to nomadic pastoralists4
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
Combining environmental DNA with remote sensing variables to map fish species distributions along a large river4
Selection in the third dimension: Using LiDAR derived canopy metrics to assess individual and population‐level habitat partitioning of ocelots, bobcats, and coyotes4
Structure‐from‐motion photogrammetry demonstrates that fine‐scale seascape heterogeneity is essential in shaping mesophotic fish assemblages4
Precipitation and temperature drive woody vegetation dynamics in the grasslands of sub‐Saharan Africa4
Coherence of recurring fires and land use change in South America3
Approaching a population‐level assessment of body size in pinnipeds using drones, an early warning of environmental degradation3
Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping3
Both Landsat‐ and LiDAR‐derived measures predict forest bee response to large‐scale wildfire3
Automating sandhill crane counts from nocturnal thermal aerial imagery using deep learning3
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Using satellite data to assess spatial drivers of bird diversity3
Global monitoring of soil multifunctionality in drylands using satellite imagery and field data3
Using multiscale lidar to determine variation in canopy structure from African forest elephant trails3
Lacking data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: A case study with muskox ( Ovibos moschatus )3
Time‐series remote sensing of rice paddy expansion in the Yellow River Delta: Towards sustainable ecological conservation in the context of water scarcity3
The development of an unsupervised hierarchical clustering analysis of dual‐polarization weather surveillance radar observations to assess nocturnal insect abundance and diversity3
Mapping the long‐term influence of river discharge on coastal ocean chlorophyll‐a3
Estimating animal density using the Space‐to‐Event model and bootstrap resampling with motion‐triggered camera‐trap data3
Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology3
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