Remote Sensing in Ecology and Conservation

Papers
(The median citation count of Remote Sensing in Ecology and Conservation is 2. 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 2021-03-01 to 2025-03-01.)
ArticleCitations
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study64
Countrywide classification of permanent grassland habitats at high spatial resolution51
A satellite perspective on the movement decisions of African elephants in relation to nomadic pastoralists47
Real‐time insect tracking and monitoring with computer vision and deep learning41
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Camera traps enable the estimation of herbaceous aboveground net primary production (ANPP) in an African savanna at high temporal resolution34
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Fine‐scale landscape phenology revealed through time‐lapse imagery: implications for conservation and management of an endangered migratory herbivore25
Camera traps with white flash are a minimally invasive method for long‐term bat monitoring25
Automated visitor and wildlife monitoring with camera traps and machine learning23
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Long‐term analysis of persistence and size of swallow and martin roosts in the US Great Lakes21
Structure‐from‐motion photogrammetry demonstrates that fine‐scale seascape heterogeneity is essential in shaping mesophotic fish assemblages20
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning19
Coherence of recurring fires and land use change in South America18
Passive acoustic surveys reveal interactions between frugivorous birds and fruiting trees on a large forest dynamics plot18
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Time‐series remote sensing of rice paddy expansion in the Yellow River Delta: Towards sustainable ecological conservation in the context of water scarcity17
Using satellite data to assess spatial drivers of bird diversity17
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How can Sentinel‐2 contribute to seagrass mapping in shallow, turbid Baltic Sea waters?16
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays16
High‐intensity bird migration along Alpine valleys calls for protective measures against anthropogenically induced avian mortality16
Efficacy of machine learning image classification for automated occupancy‐based monitoring15
Approaching a population‐level assessment of body size in pinnipeds using drones, an early warning of environmental degradation15
BatNet: a deep learning‐based tool for automated bat species identification from camera trap images15
Earth observation for ecosystem accounting: spatially explicit national seagrass extent and carbon stock in Kenya, Tanzania, Mozambique and Madagascar15
Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery14
Deep learning‐based training data augmentation combined with post‐classification improves the classification accuracy for dominant and scattered invasive forest tree species14
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Treegraph: tree architecture from terrestrial laser scanning point clouds13
Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians12
LiDAR and multispectral imagery predict the occurrence of tree cavities suitable for a cavity‐nesting duck12
Interpolating missing land cover data using stochastic spatial random forests for improved change detection12
Effects of different management measures on soil conservation and the influence of environmental conditions: a case study involving UAV remote sensing on the Loess Plateau12
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Detecting overmature forests with airborne laser scanning (ALS)11
Assessing experimental silvicultural treatments enhancing structural complexity in a central European forest – BEAST time‐series analysis based on Sentinel‐1 and Sentinel‐211
Mapping the long‐term influence of river discharge on coastal ocean chlorophyll‐a10
Recurring bleaching events disrupt the spatial properties of coral reef benthic communities across scales10
Monitoring shallow coral reef exposure to environmental stressors using satellite earth observation: the reef environmental stress exposure toolbox (RESET)10
Invasion in the Niger Delta: remote sensing of mangrove conversion to invasive Nypa fruticans from 2015 to 202010
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests10
Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania10
The development of an unsupervised hierarchical clustering analysis of dual‐polarization weather surveillance radar observations to assess nocturnal insect abundance and diversity9
Illuminating the Arctic: Unveiling seabird responses to artificial light during polar darkness through citizen science and remote sensing9
Using drones to reduce human disturbance while monitoring breeding status of an endangered raptor9
Wildfire severity and vegetation recovery drive post‐fire evapotranspiration in a southwestern pine‐oak forest, Arizona, USA9
Capturing hedgerow structure and flowering abundance with UAV remote sensing9
The development of a convolutional neural network for the automatic detection of Northern Bobwhite Colinus virginianus covey calls9
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Remote monitoring of short‐term body mass variation in savanna ungulates8
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species8
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Combining satellite and field data reveals Congo's forest types structure, functioning and composition8
Improving the efficiency and accuracy of evaluating aridland riparian habitat restoration using unmanned aerial vehicles8
Forest edge structure from terrestrial laser scanning to explain bird biophony characteristics from acoustic indices8
The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates the individual identification of leopards via their roars8
Random encounter model is a reliable method for estimating population density of multiple species using camera traps8
Detecting selective logging in tropical forests with optical satellite data: an experiment in Peru shows texture at 3 m gives the best results7
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Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests7
Global monitoring of soil multifunctionality in drylands using satellite imagery and field data7
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A systematic framework for continuous monitoring of land use and vegetation dynamics in multiple heterogeneous mine sites7
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Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins6
Bioscatter transport by tropical cyclones: insights from 10 years in the Atlantic basin6
Interannual variation of gross primary production detected from optimal convolutional neural network at multi‐timescale water stress6
Estimating animal density using the Space‐to‐Event model and bootstrap resampling with motion‐triggered camera‐trap data6
Using multiscale lidar to determine variation in canopy structure from African forest elephant trails6
High‐resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature6
Automating sandhill crane counts from nocturnal thermal aerial imagery using deep learning6
Both Landsat‐ and LiDAR‐derived measures predict forest bee response to large‐scale wildfire6
HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments6
Remote sensing of Antarctic polychaete reefs (Serpula narconensis): reproducible workflows for quantifying benthic structural complexity with action cameras, remotely operated vehicles and stru6
Beyond tree cover: Characterizing southern China's forests using deep learning5
Monitoring fin and blue whales in the lower St. Lawrence Seaway with onshore seismometers5
21 000 birds in 4.5 h: efficient large‐scale seabird detection with machine learning5
A convolutional neural network architecture designed for the automated survey of seabird colonies5
Regional estimates of a range‐extending ecosystem engineer using stereo‐imagery from ROV transects collected with an efficient, spatially balanced design5
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An automated procedure to determine construction year of roads in forested landscapes using a least‐cost path and a Before‐After Control‐Impact approach5
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest5
Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN5
Passive acoustic monitoring reveals the role of habitat affinity in sensitivity of sub‐tropical East Asian bats to fragmentation5
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats5
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery5
Improved fire severity mapping in the North American boreal forest using a hybrid composite method5
Examining wildfire dynamics using ECOSTRESS data with machine learning approaches: the case of South‐Eastern Australia's black summer4
Arboreal camera trapping: a reliable tool to monitor plant‐frugivore interactions in the trees on large scales4
Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods4
Time series enable the characterization of small‐scale vegetation dynamics that influence fine‐scale animal behavior – an example from white storks' foraging behavior4
Trialling camera traps to determine occupancy and breeding in burrowing seabirds4
Deep learning algorithm outperforms experienced human observer at detection of blue whale D‐calls: a double‐observer analysis4
Three‐dimensional mapping reveals scale‐dependent dynamics in biogenic reef habitat structure4
Walruses from space: walrus counts in simultaneous remotely piloted aircraft system versus very high‐resolution satellite imagery4
Impacts of fire on canopy structure and its resilience depend on successional stage in Amazonian secondary forests4
Land cover classification of treeline ecotones along a 1100 km latitudinal transect using spectral‐ and three‐dimensional information from UAV‐based aerial imagery4
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Commercial drones can provide accurate and effective monitoring of the world's rarest primate4
Regional matters: On the usefulness of regional land‐cover datasets in times of global change4
Remotely sensed variables explain microhabitat selection and reveal buffering behaviours against warming in a climate‐sensitive bird species4
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Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications4
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Underwater robots provide similar fish biodiversity assessments as divers on coral reefs4
Characterizing aboveground biomass and tree cover of regrowing forests in Brazil using multi‐source remote sensing data4
Regional evaluation of satellite‐based methods for identifying end of vegetation growing season3
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Spaceborne LiDAR for characterizing forest structure across scales in the European Alps3
Predicting defoliator abundance and defoliation measurements using Landsat‐based condition scores3
Impact of pile‐driving and offshore windfarm operational noise on fish chorusing3
Airborne laser scanning reveals increased growth and complexity of boreal forest canopies across a network of ungulate exclosures in Norway3
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model3
Ray bioturbation rates suggest they shape estuary processes3
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems3
Geomorphological development of aquatic mesohabitats in shore channels along longitudinal training dams3
Automated identification of hedgerows and hedgerow gaps using deep learning3
Stronger conservation promotes mangrove biomass accumulation: Insights from spatially explicit assessments using UAV and Landsat data3
Drone‐based thermal remote sensing provides an effective new tool for monitoring the abundance of roosting fruit bats3
Shallow coastal water turbidity monitoring using Planet Dove satellites2
Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management2
Detecting gold mining impacts on insect biodiversity in a tropical mining frontier with SmallSat imagery2
What shapes fire size and spread in African savannahs?2
Aggregated time‐series features boost species‐specific differentiation of true and false positives in passive acoustic monitoring of bird assemblages2
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques2
Robust retrieval of forest canopy structural attributes using multi‐platform airborne LiDAR2
Predicting resilience and stability of early second‐growth forests2
Quantifying vegetation cover on coastal active dunes using nationwide aerial image analysis2
The real potential of current passive satellite data to map aboveground biomass in tropical forests2
Mapping terrestrial groundwater‐dependent ecosystems in arid Australia using Landsat‐8 time‐series data and singular value decomposition2
Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution2
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar2
Characterizing spatial variability in coastal wetland biomass across multiple scales using UAV and satellite imagery2
A random encounter model for wildlife density estimation with vertically oriented camera traps2
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Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat2
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Challenges and solutions for automated avian recognition in aerial imagery2
Mainstreaming remotely sensed ecosystem functioning in ecological niche models2
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