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 2021-05-01 to 2025-05-01.)
ArticleCitations
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays87
Issue Information59
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning52
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study41
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability40
Camera traps with white flash are a minimally invasive method for long‐term bat monitoring38
Countrywide classification of permanent grassland habitats at high spatial resolution36
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests34
Quantifying nocturnal bird migration using acoustics: opportunities and challenges32
Remote monitoring of short‐term body mass variation in savanna ungulates31
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery29
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes27
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests27
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats27
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest23
HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments23
Improved fire severity mapping in the North American boreal forest using a hybrid composite method23
Issue Information23
Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications22
Trialling camera traps to determine occupancy and breeding in burrowing seabirds21
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 ecosystems20
Underwater robots provide similar fish biodiversity assessments as divers on coral reefs20
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar19
Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution19
Mapping terrestrial groundwater‐dependent ecosystems in arid Australia using Landsat‐8 time‐series data and singular value decomposition19
18
Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat17
16
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem16
Using camera traps to estimate ungulate abundance: a comparison of mark–resight methods16
Quantifying the causes and consequences of variation in satellite‐derived population indices: a case study of emperor penguins16
Bidirectional drought‐related canopy dynamics across pantropical forests: a satellite‐based statistical analysis16
Issue Information15
Issue Information15
Issue Information14
A new way to understand migration routes of oceanic squid (Ommastrephidae) from satellite data14
Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data13
Radar and optical remote sensing for near real‐time assessments of cyclone impacts on coastal ecosystems13
UAV data and deep learning: efficient tools to map ant mounds and their ecological impact13
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania13
Issue Information12
Using spatiotemporal information in weather radar data to detect and track communal roosts12
12
Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery12
Automated extraction of right whale morphometric data from drone aerial photographs11
Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians11
Issue Information11
Efficacy of machine learning image classification for automated occupancy‐based monitoring11
Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins10
Towards edge processing of images from insect camera traps10
Bioscatter transport by tropical cyclones: insights from 10 years in the Atlantic basin10
Walruses from space: walrus counts in simultaneous remotely piloted aircraft system versus very high‐resolution satellite imagery10
10
How can Sentinel‐2 contribute to seagrass mapping in shallow, turbid Baltic Sea waters?10
10
Remotely sensing coral bleaching in the Red Sea10
Wildfire severity and vegetation recovery drive post‐fire evapotranspiration in a southwestern pine‐oak forest, Arizona, USA10
Issue Information10
How to achieve accurate wildlife detection by using vehicle‐mounted mobile monitoring images and deep learning?9
The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates the individual identification of leopards via their roars9
Hareport hazard: Identifying hare activity patterns and increased mammal–aircraft strike risk at an International Airport9
Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non‐forest ecosystems9
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species9
Beyond tree cover: Characterizing southern China's forests using deep learning9
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques9
StrucNet: a global network for automated vegetation structure monitoring9
Random encounter model is a reliable method for estimating population density of multiple species using camera traps9
Stronger conservation promotes mangrove biomass accumulation: Insights from spatially explicit assessments using UAV and Landsat data9
Comparison of bird migration in a radar wind profiler and a dedicated bird radar9
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery9
Tracking canopy gaps in mangroves remotely using deep learning8
8
Drone‐mounted audio‐visual deterrence of bats: implications for reducing aerial wildlife mortality by wind turbines8
Mexican agricultural frontier communities differ in forest dynamics with consequences for conservation and restoration8
Resource pulses and human–wildlife conflicts: linking satellite indicators and ground data on forest productivity to predict brown bear damages8
Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands8
Colony‐nesting gulls restrict activity levels of a native top carnivore during the breeding season8
Highly precise community science annotations of video camera‐trapped fauna in challenging environments8
A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest7
Modelling species distribution from camera trap by‐catch using a scale‐optimized occupancy approach7
7
Canopy palm cover across the Brazilian Amazon forests mapped with airborneLiDARdata and deep learning7
Using camera traps to monitor cyclic vole populations7
The vulnerability and resilience of seagrass ecosystems to marine heatwaves in New Zealand: a remote sensing analysis of seascape metrics usingPlanetScopeimagery7
Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning7
Imperfect detection and wildlife density estimation using aerial surveys with infrared and visible sensors7
Illuminating the Arctic: Unveiling seabird responses to artificial light during polar darkness through citizen science and remote sensing7
Exploring the link between spectral variance and upper canopy taxonomic diversity in a tropical forest: influence of spectral processing and feature selection7
Seabird surveillance: combining CCTV and artificial intelligence for monitoring and research7
Effects of different management measures on soil conservation and the influence of environmental conditions: a case study involving UAV remote sensing on the Loess Plateau6
6
Camera traps enable the estimation of herbaceous aboveground net primary production (ANPP) in an African savanna at high temporal resolution6
Examining wildfire dynamics using ECOSTRESS data with machine learning approaches: the case of South‐Eastern Australia's black summer6
Interpolating missing land cover data using stochastic spatial random forests for improved change detection6
6
Using drones to reduce human disturbance while monitoring breeding status of an endangered raptor6
High‐intensity bird migration along Alpine valleys calls for protective measures against anthropogenically induced avian mortality6
Assessing experimental silvicultural treatments enhancing structural complexity in a central European forest – BEAST time‐series analysis based on Sentinel‐1 and Sentinel‐26
6
6
Issue Information6
5
Challenges and solutions for automated avian recognition in aerial imagery5
Passive acoustic monitoring reveals the role of habitat affinity in sensitivity of sub‐tropical East Asian bats to fragmentation5
Detecting gold mining impacts on insect biodiversity in a tropical mining frontier with SmallSat imagery5
Interannual variation of gross primary production detected from optimal convolutional neural network at multi‐timescale water stress5
Robust retrieval of forest canopy structural attributes using multi‐platform airborne LiDAR5
Airborne laser scanning reveals increased growth and complexity of boreal forest canopies across a network of ungulate exclosures in Norway4
Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management4
Prospects for monitoring bird migration along the East Asian‐Australasian Flyway using weather radar4
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
4
Global disparity of camera trap research allocation and defaunation risk of terrestrial mammals4
A satellite perspective on the movement decisions of African elephants in relation to nomadic pastoralists4
The application of unoccupied aerial systems (UAS) for monitoring intertidal oyster density and abundance4
Automated identification of hedgerows and hedgerow gaps using deep learning4
4
4
Beyond presence mapping: predicting fractional cover of non‐native vegetation in Sentinel‐2 imagery using an ensemble of MaxEnt models4
Selection in the third dimension: Using LiDAR derived canopy metrics to assess individual and population‐level habitat partitioning of ocelots, bobcats, and coyotes4
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 assemblages4
Shallow coastal water turbidity monitoring using Planet Dove satellites4
Unoccupied aerial vehicles as a tool to map lizard operative temperature in tropical environments4
Issue Information4
Issue Information4
Echolocation repetition rate as a proxy to monitor population structure and dynamics of sperm whales4
Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks4
Using satellite data to assess spatial drivers of bird diversity4
Approaching a population‐level assessment of body size in pinnipeds using drones, an early warning of environmental degradation3
Mapping the long‐term influence of river discharge on coastal ocean chlorophyll‐a3
The development of an unsupervised hierarchical clustering analysis of dual‐polarization weather surveillance radar observations to assess nocturnal insect abundance and diversity3
Automated visitor and wildlife monitoring with camera traps and machine learning3
Capturing hedgerow structure and flowering abundance with UAV remote sensing3
Coherence of recurring fires and land use change in South America3
Time‐series remote sensing of rice paddy expansion in the Yellow River Delta: Towards sustainable ecological conservation in the context of water scarcity3
Real‐time insect tracking and monitoring with computer vision and deep learning3
Remote sensing of Antarctic polychaete reefs (Serpula narconensis): reproducible workflows for quantifying benthic structural complexity with action cameras, remotely operated vehicles and stru3
Invasion in the Niger Delta: remote sensing of mangrove conversion to invasive Nypa fruticans from 2015 to 20203
Monitoring shallow coral reef exposure to environmental stressors using satellite earth observation: the reef environmental stress exposure toolbox (RESET)3
0.054759979248047