Remote Sensing in Ecology and Conservation

Papers
(The median citation count of Remote Sensing in Ecology and Conservation is 4. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
Issue Information103
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study69
Camera traps with white flash are a minimally invasive method for long‐term bat monitoring52
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays45
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability44
Countrywide classification of permanent grassland habitats at high spatial resolution43
Issue Information38
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests35
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning34
Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage32
Issue Information30
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery30
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats28
Quantifying nocturnal bird migration using acoustics: opportunities and challenges26
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes26
Remote monitoring of short‐term body mass variation in savanna ungulates24
HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments23
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests21
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest21
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems20
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model20
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar20
Issue Information19
Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications19
Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution17
Mapping terrestrial groundwater‐dependent ecosystems in arid Australia using Landsat‐8 time‐series data and singular value decomposition17
Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat16
Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network16
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Spatial distribution and drivers of aboveground forest biomass in Mexico using GEDI and national forest inventory data15
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem15
ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts15
Issue Information15
Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data14
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania14
Radar and optical remote sensing for near real‐time assessments of cyclone impacts on coastal ecosystems14
Issue Information14
A new way to understand migration routes of oceanic squid (Ommastrephidae) from satellite data14
Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery13
Automated extraction of right whale morphometric data from drone aerial photographs13
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Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians13
Issue Information13
Towards edge processing of images from insect camera traps13
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Using spatiotemporal information in weather radar data to detect and track communal roosts13
UAV data and deep learning: efficient tools to map ant mounds and their ecological impact13
How can Sentinel‐2 contribute to seagrass mapping in shallow, turbid Baltic Sea waters?12
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Efficacy of machine learning image classification for automated occupancy‐based monitoring12
Issue Information12
Random encounter model is a reliable method for estimating population density of multiple species using camera traps11
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species11
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Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins11
Remotely sensing coral bleaching in the Red Sea11
Beyond tree cover: Characterizing southern China's forests using deep learning11
The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates individual identification of leopards via their roars11
Stronger conservation promotes mangrove biomass accumulation: Insights from spatially explicit assessments using UAV and Landsat data10
StrucNet: a global network for automated vegetation structure monitoring10
Integrating terrestrial and canopy laser scanning for comprehensive analysis of large old trees: Implications for single tree and biodiversity research10
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery10
How to achieve accurate wildlife detection by using vehicle‐mounted mobile monitoring images and deep learning?10
Inferring camera trap detection zones for rare species using species‐ and camera‐specific traits: a meta‐level analysis10
Walruses from space: walrus counts in simultaneous remotely piloted aircraft system versus very high‐resolution satellite imagery10
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques10
Comparison of bird migration in a radar wind profiler and a dedicated bird radar10
Hareport hazard: Identifying hare activity patterns and increased mammal–aircraft strike risk at an International Airport10
Colony‐nesting gulls restrict activity levels of a native top carnivore during the breeding season9
Seabird surveillance: combining CCTV and artificial intelligence for monitoring and research9
Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands9
A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest9
Highly precise community science annotations of video camera‐trapped fauna in challenging environments9
Drone‐mounted audio‐visual deterrence of bats: implications for reducing aerial wildlife mortality by wind turbines9
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Mexican agricultural frontier communities differ in forest dynamics with consequences for conservation and restoration9
Tracking canopy gaps in mangroves remotely using deep learning9
Exploring the link between spectral variance and upper canopy taxonomic diversity in a tropical forest: influence of spectral processing and feature selection8
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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
Using camera traps to monitor cyclic vole populations8
Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning8
Canopy palm cover across the Brazilian Amazon forests mapped with airborneLiDARdata and deep learning8
Resource pulses and human–wildlife conflicts: linking satellite indicators and ground data on forest productivity to predict brown bear damages8
Imperfect detection and wildlife density estimation using aerial surveys with infrared and visible sensors8
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Camera traps enable the estimation of herbaceous aboveground net primary production (ANPP) in an African savanna at high temporal resolution7
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Examining wildfire dynamics using ECOSTRESS data with machine learning approaches: the case of South‐Eastern Australia's black summer7
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
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High‐intensity bird migration along Alpine valleys calls for protective measures against anthropogenically induced avian mortality7
Issue Information7
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Illuminating the Arctic: Unveiling seabird responses to artificial light during polar darkness through citizen science and remote sensing7
Assessing experimental silvicultural treatments enhancing structural complexity in a central European forest – BEAST time‐series analysis based on Sentinel‐1 and Sentinel‐27
Tourist sightings improve the precision of camera trap‐derived density estimates using spatial capture‐recapture models7
Interannual variation of gross primary production detected from optimal convolutional neural network at multi‐timescale water stress6
Detecting gold mining impacts on insect biodiversity in a tropical mining frontier with SmallSat imagery6
Challenges and solutions for automated avian recognition in aerial imagery6
Robust retrieval of forest canopy structural attributes using multi‐platform airborne LiDAR6
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Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management6
Shallow coastal water turbidity monitoring using Planet Dove satellites6
Automated identification of hedgerows and hedgerow gaps using deep learning6
Unoccupied aerial vehicles as a tool to map lizard operative temperature in tropical environments6
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Issue Information5
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
Prospects for monitoring bird migration along the East Asian‐Australasian Flyway using weather radar5
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The application of unoccupied aerial systems (UAS) for monitoring intertidal oyster density and abundance5
Eigenfeature‐enhanced deep learning: advancing tree species classification in mixed conifer forests with lidar5
Hyperspectral imagery, LiDAR point clouds, and environmental DNA to assess land‐water linkage of biodiversity across aquatic functional feeding groups5
Issue Information5
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 imagery5
The development of an unsupervised hierarchical clustering analysis of dual‐polarization weather surveillance radar observations to assess nocturnal insect abundance and diversity4
Echolocation repetition rate as a proxy to monitor population structure and dynamics of sperm whales4
Time‐series remote sensing of rice paddy expansion in the Yellow River Delta: Towards sustainable ecological conservation in the context of water scarcity4
Mapping the long‐term influence of river discharge on coastal ocean chlorophyll‐a4
Real‐time insect tracking and monitoring with computer vision and deep learning4
Global disparity of camera trap research allocation and defaunation risk of terrestrial mammals4
Combining environmental DNA with remote sensing variables to map fish species distributions along a large river4
Monitoring shallow coral reef exposure to environmental stressors using satellite earth observation: the reef environmental stress exposure toolbox (RESET)4
Automated visitor and wildlife monitoring with camera traps and machine learning4
Precipitation and temperature drive woody vegetation dynamics in the grasslands of sub‐Saharan Africa4
Selection in the third dimension: Using LiDAR derived canopy metrics to assess individual and population‐level habitat partitioning of ocelots, bobcats, and coyotes4
Using satellite data to assess spatial drivers of bird diversity4
A satellite perspective on the movement decisions of African elephants in relation to nomadic pastoralists4
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