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 2021-08-01 to 2025-08-01.)
ArticleCitations
Issue Information97
Camera traps with white flash are a minimally invasive method for long‐term bat monitoring63
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study48
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests44
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning39
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays39
Countrywide classification of permanent grassland habitats at high spatial resolution34
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats33
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability33
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest31
Improved fire severity mapping in the North American boreal forest using a hybrid composite method29
Issue Information27
Remote monitoring of short‐term body mass variation in savanna ungulates27
HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments24
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery23
Quantifying nocturnal bird migration using acoustics: opportunities and challenges22
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes22
Trialling camera traps to determine occupancy and breeding in burrowing seabirds21
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar21
Mapping terrestrial groundwater‐dependent ecosystems in arid Australia using Landsat‐8 time‐series data and singular value decomposition21
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests21
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems20
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
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem17
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model17
17
Quantifying the causes and consequences of variation in satellite‐derived population indices: a case study of emperor penguins16
Spatial distribution and drivers of aboveground forest biomass in Mexico using GEDI and national forest inventory data15
Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat15
Issue Information14
Issue Information14
Radar and optical remote sensing for near real‐time assessments of cyclone impacts on coastal ecosystems13
Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data13
A new way to understand migration routes of oceanic squid (Ommastrephidae) from satellite data13
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania13
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
Issue Information12
Efficacy of machine learning image classification for automated occupancy‐based monitoring12
Issue Information12
Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery12
12
Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians12
Towards edge processing of images from insect camera traps11
Walruses from space: walrus counts in simultaneous remotely piloted aircraft system versus very high‐resolution satellite imagery11
11
Automated extraction of right whale morphometric data from drone aerial photographs11
The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates the individual identification of leopards via their roars11
Issue Information11
How can Sentinel‐2 contribute to seagrass mapping in shallow, turbid Baltic Sea waters?11
Remotely sensing coral bleaching in the Red Sea11
11
Random encounter model is a reliable method for estimating population density of multiple species using camera traps10
How to achieve accurate wildlife detection by using vehicle‐mounted mobile monitoring images and deep learning?10
Stronger conservation promotes mangrove biomass accumulation: Insights from spatially explicit assessments using UAV and Landsat data10
Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins10
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery10
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species10
Beyond tree cover: Characterizing southern China's forests using deep learning10
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques10
StrucNet: a global network for automated vegetation structure monitoring9
Hareport hazard: Identifying hare activity patterns and increased mammal–aircraft strike risk at an International Airport9
Comparison of bird migration in a radar wind profiler and a dedicated bird radar9
Drone‐mounted audio‐visual deterrence of bats: implications for reducing aerial wildlife mortality by wind turbines9
Tracking canopy gaps in mangroves remotely using deep learning9
9
Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands9
Highly precise community science annotations of video camera‐trapped fauna in challenging environments8
Canopy palm cover across the Brazilian Amazon forests mapped with airborneLiDARdata and deep learning8
Imperfect detection and wildlife density estimation using aerial surveys with infrared and visible sensors8
Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning8
Mexican agricultural frontier communities differ in forest dynamics with consequences for conservation and restoration8
8
Resource pulses and human–wildlife conflicts: linking satellite indicators and ground data on forest productivity to predict brown bear damages8
Using camera traps to monitor cyclic vole populations8
Colony‐nesting gulls restrict activity levels of a native top carnivore during the breeding season8
The vulnerability and resilience of seagrass ecosystems to marine heatwaves in New Zealand: a remote sensing analysis of seascape metrics usingPlanetScopeimagery8
Exploring the link between spectral variance and upper canopy taxonomic diversity in a tropical forest: influence of spectral processing and feature selection8
A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest8
Seabird surveillance: combining CCTV and artificial intelligence for monitoring and research8
Passive acoustic monitoring reveals the role of habitat affinity in sensitivity of sub‐tropical East Asian bats to fragmentation7
7
7
Issue Information7
High‐intensity bird migration along Alpine valleys calls for protective measures against anthropogenically induced avian mortality7
Interannual variation of gross primary production detected from optimal convolutional neural network at multi‐timescale water stress7
7
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
7
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
7
Camera traps enable the estimation of herbaceous aboveground net primary production (ANPP) in an African savanna at high temporal resolution7
Challenges and solutions for automated avian recognition in aerial imagery6
Unoccupied aerial vehicles as a tool to map lizard operative temperature in tropical environments6
Prospects for monitoring bird migration along the East Asian‐Australasian Flyway using weather radar6
Airborne laser scanning reveals increased growth and complexity of boreal forest canopies across a network of ungulate exclosures in Norway6
Robust retrieval of forest canopy structural attributes using multi‐platform airborne LiDAR6
Automated identification of hedgerows and hedgerow gaps using deep learning6
Shallow coastal water turbidity monitoring using Planet Dove satellites6
Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management6
Detecting gold mining impacts on insect biodiversity in a tropical mining frontier with SmallSat imagery6
6
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
Echolocation repetition rate as a proxy to monitor population structure and dynamics of sperm whales5
Issue Information5
Beyond presence mapping: predicting fractional cover of non‐native vegetation in Sentinel‐2 imagery using an ensemble of MaxEnt models5
5
5
The application of unoccupied aerial systems (UAS) for monitoring intertidal oyster density and abundance5
Precipitation and temperature drive woody vegetation dynamics in the grasslands of sub‐Saharan Africa5
Using satellite data to assess spatial drivers of bird diversity4
The development of an unsupervised hierarchical clustering analysis of dual‐polarization weather surveillance radar observations to assess nocturnal insect abundance and diversity4
Eigenfeature‐enhanced deep learning: advancing tree species classification in mixed conifer forests with lidar4
A satellite perspective on the movement decisions of African elephants in relation to nomadic pastoralists4
Monitoring shallow coral reef exposure to environmental stressors using satellite earth observation: the reef environmental stress exposure toolbox (RESET)4
Structure‐from‐motion photogrammetry demonstrates that fine‐scale seascape heterogeneity is essential in shaping mesophotic fish assemblages4
Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks4
Combining environmental DNA with remote sensing variables to map fish species distributions along a large river4
Time‐series remote sensing of rice paddy expansion in the Yellow River Delta: Towards sustainable ecological conservation in the context of water scarcity4
Approaching a population‐level assessment of body size in pinnipeds using drones, an early warning of environmental degradation4
Invasion in the Niger Delta: remote sensing of mangrove conversion to invasive Nypa fruticans from 2015 to 20204
Global disparity of camera trap research allocation and defaunation risk of terrestrial mammals4
Selection in the third dimension: Using LiDAR derived canopy metrics to assess individual and population‐level habitat partitioning of ocelots, bobcats, and coyotes4
Coherence of recurring fires and land use change in South America4
0.04273796081543