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 2020-04-01 to 2024-04-01.)
ArticleCitations
Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes66
Real‐time insect tracking and monitoring with computer vision and deep learning41
Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data37
Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat35
Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images34
Automated detection of Hainan gibbon calls for passive acoustic monitoring33
Ecoacoustics in the rain: understanding acoustic indices under the most common geophonic source in tropical rainforests30
Characterizing spatial variability in coastal wetland biomass across multiple scales using UAV and satellite imagery28
Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands28
Quantifying large‐scale ecosystem stability with remote sensing data28
Discovery of new colonies by Sentinel2 reveals good and bad news for emperor penguins27
Ecoacoustics: acoustic sensing for biodiversity monitoring at scale26
21 000 birds in 4.5 h: efficient large‐scale seabird detection with machine learning25
Dual visible‐thermal camera approach facilitates drone surveys of colonial marshbirds24
Integration of close‐range underwater photogrammetry with inspection and mesh processing software: a novel approach for quantifying ecological dynamics of temperate biogenic reefs22
Regional matters: On the usefulness of regional land‐cover datasets in times of global change21
HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments19
Using drones to reduce human disturbance while monitoring breeding status of an endangered raptor18
Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation18
Remote sensing data fusion as a tool for biomass prediction in extensive grasslands invaded by L. polyphyllus18
Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning18
Ultra‐high‐resolution mapping of biocrusts with Unmanned Aerial Systems17
Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks17
Simultaneous monitoring of vegetation dynamics and wildlife activity with camera traps to assess habitat change16
Monitoring ash dieback (Hymenoscyphus fraxineus) in British forests using hyperspectral remote sensing16
Drone‐based thermal remote sensing provides an effective new tool for monitoring the abundance of roosting fruit bats16
Random encounter model is a reliable method for estimating population density of multiple species using camera traps16
Regional‐scale forest restoration effects on ecosystem resiliency to drought: a synthesis of vegetation and moisture trends on Google Earth Engine16
Estimating inundation of small waterbodies with sub‐pixel analysis of Landsat imagery: long‐term trends in surface water area and evaluation of common drought indices15
Mapping complex coastal wetland mosaics in Gabon for informed ecosystem management: use of object‐based classification15
Wildfire severity and vegetation recovery drive post‐fire evapotranspiration in a southwestern pine‐oak forest, Arizona, USA15
Arboreal camera trapping: a reliable tool to monitor plant‐frugivore interactions in the trees on large scales14
Spy in the sky: a method to identify pregnant small cetaceans14
Cloud‐native seascape mapping of Mozambique’s Quirimbas National Park with Sentinel‐214
Passive acoustic monitoring reveals the role of habitat affinity in sensitivity of sub‐tropical East Asian bats to fragmentation14
Classifying wetland‐related land cover types and habitats using fine‐scale lidar metrics derived from country‐wide Airborne Laser Scanning14
Modelling species distribution from camera trap by‐catch using a scale‐optimized occupancy approach13
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery13
How can Sentinel‐2 contribute to seagrass mapping in shallow, turbid Baltic Sea waters?13
Optimizing tropical forest bird surveys using passive acoustic monitoring and high temporal resolution sampling13
Wildlife trail or systematic? Camera trap placement has little effect on estimates of mammal diversity in a tropical forest in Gabon13
Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non‐forest ecosystems13
The effect of camera orientation on the detectability of wildlife: a case study from north‐western Australia13
SmallSats: a new technological frontier in ecology and conservation?11
Earth observation for ecosystem accounting: spatially explicit national seagrass extent and carbon stock in Kenya, Tanzania, Mozambique and Madagascar11
Do acoustically detectable species reflect overall diversity? A case study from Australia’s arid zone11
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study11
The real potential of current passive satellite data to map aboveground biomass in tropical forests11
Remotely sensed variables explain microhabitat selection and reveal buffering behaviours against warming in a climate‐sensitive bird species10
Tracking canopy gaps in mangroves remotely using deep learning10
Improved fire severity mapping in the North American boreal forest using a hybrid composite method10
Mainstreaming remotely sensed ecosystem functioning in ecological niche models10
Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania10
Are camera traps a reliable method for estimating activity patterns? A case study comparing technologies for estimating brown hyaena activity curves9
Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings8
Underwater robots provide similar fish biodiversity assessments as divers on coral reefs8
Influence of altitude on tropical marine habitat classification using imagery from fixed‐wing, water‐landing UAVs8
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem8
Impact of pile‐driving and offshore windfarm operational noise on fish chorusing8
Remote sensing liana infestation in an aseasonal tropical forest: addressing mismatch in spatial units of analyses8
Radar and multispectral remote sensing data accurately estimate vegetation vertical structure diversity as a fire resilience indicator8
Deep learning algorithm outperforms experienced human observer at detection of blue whale D‐calls: a double‐observer analysis8
Improving the efficiency and accuracy of evaluating aridland riparian habitat restoration using unmanned aerial vehicles8
Capturing hedgerow structure and flowering abundance with UAV remote sensing8
Canopy palm cover across the Brazilian Amazon forests mapped with airborneLiDARdata and deep learning7
Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods7
Predicting defoliator abundance and defoliation measurements using Landsat‐based condition scores7
Opening a new era of investigating unreachable cliff flora using smart UAVs7
Regional evaluation of satellite‐based methods for identifying end of vegetation growing season7
Interannual variation of gross primary production detected from optimal convolutional neural network at multi‐timescale water stress7
Spaceborne LiDAR for characterizing forest structure across scales in the European Alps7
Illuminating den‐tree selection by an arboreal mammal using terrestrial laser scanning in northern Australia7
Interpolating missing land cover data using stochastic spatial random forests for improved change detection6
Mapping terrestrial groundwater‐dependent ecosystems in arid Australia using Landsat‐8 time‐series data and singular value decomposition6
Three‐dimensional mapping reveals scale‐dependent dynamics in biogenic reef habitat structure6
Opportunities for improving conservation early warning and alert systems6
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species6
Detecting overmature forests with airborne laser scanning (ALS)6
Camera traps with white flash are a minimally invasive method for long‐term bat monitoring6
Land cover classification of treeline ecotones along a 1100 km latitudinal transect using spectral‐ and three‐dimensional information from UAV‐based aerial imagery6
Beyond tree cover: Characterizing southern China's forests using deep learning6
Using unoccupied aerial vehicles to map and monitor changes in emergent kelp canopy after an ecological regime shift5
UAV thermal image detects genetic trait differences among populations and genotypes of Fremont cottonwood (Populus fremontii, Salicaceae)5
Airborne laser scanning reveals increased growth and complexity of boreal forest canopies across a network of ungulate exclosures in Norway5
Riparian ecosystems mapping at fine scale: a density approach based on multi‐temporal UAV photogrammetric point clouds5
Mapping the spatial distribution of stand age and aboveground biomass from Landsat time series analyses of forest cover loss in tropical dry forests5
The development of a convolutional neural network for the automatic detection of Northern Bobwhite Colinus virginianus covey calls5
Echolocation repetition rate as a proxy to monitor population structure and dynamics of sperm whales5
Camera trapping with photos and videos: implications for ecology and citizen science5
Bidirectional drought‐related canopy dynamics across pantropical forests: a satellite‐based statistical analysis5
Estimating animal density in three dimensions using capture‐frequency data from remote detectors4
Radar and optical remote sensing for near real‐time assessments of cyclone impacts on coastal ecosystems4
Using camera traps to estimate ungulate abundance: a comparison of mark–resight methods4
A systematic framework for continuous monitoring of land use and vegetation dynamics in multiple heterogeneous mine sites4
LiDAR and multispectral imagery predict the occurrence of tree cavities suitable for a cavity‐nesting duck4
Best practices to account for capture probability and viewable area in camera‐based abundance estimation4
Remotely piloted aircraft systems remote sensing can effectively retrieve ecosystem traits of alpine grasslands on the Tibetan Plateau at a landscape scale4
Large‐scale assessment of intra‐ and inter‐annual breeding success using a remote camera network4
Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins4
The influence of isolated thunderstorms and the low‐level wind field on nocturnally migrating birds in central North America4
Remote sensing and the UN Ocean Decade: high expectations, big opportunities4
Combining unmanned aerial vehicles and satellite imagery to quantify areal extent of intertidal brown canopy‐forming macroalgae4
Predicting resilience and stability of early second‐growth forests4
Countrywide classification of permanent grassland habitats at high spatial resolution4
Structure‐from‐motion photogrammetry demonstrates that fine‐scale seascape heterogeneity is essential in shaping mesophotic fish assemblages3
A semi‐automated camera trap distance sampling approach for population density estimation3
Comparison of 3D structural metrics on oyster reefs using unoccupied aircraft photogrammetry and terrestrial LiDAR across a tidal elevation gradient3
Mexican agricultural frontier communities differ in forest dynamics with consequences for conservation and restoration3
Commercial drones can provide accurate and effective monitoring of the world's rarest primate3
Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN3
BatNet: a deep learning‐based tool for automated bat species identification from camera trap images3
Using camera traps to monitor cyclic vole populations3
Resource pulses and human–wildlife conflicts: linking satellite indicators and ground data on forest productivity to predict brown bear damages3
Imperfect detection and wildlife density estimation using aerial surveys with infrared and visible sensors3
Trialling camera traps to determine occupancy and breeding in burrowing seabirds3
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests3
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats3
Monitoring shallow coral reef exposure to environmental stressors using satellite earth observation: the reef environmental stress exposure toolbox (RESET)3
Combining environmental DNA with remote sensing variables to map fish species distributions along a large river3
Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades3
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania3
What shapes fire size and spread in African savannahs?3
A convolutional neural network architecture designed for the automated survey of seabird colonies3
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