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 2020-11-01 to 2024-11-01.)
ArticleCitations
Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes77
Real‐time insect tracking and monitoring with computer vision and deep learning64
Automated detection of Hainan gibbon calls for passive acoustic monitoring47
Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images45
Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data44
Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands43
Characterizing spatial variability in coastal wetland biomass across multiple scales using UAV and satellite imagery38
Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat38
Regional matters: On the usefulness of regional land‐cover datasets in times of global change34
21 000 birds in 4.5 h: efficient large‐scale seabird detection with machine learning30
Random encounter model is a reliable method for estimating population density of multiple species using camera traps25
Dual visible‐thermal camera approach facilitates drone surveys of colonial marshbirds25
HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments25
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery25
Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning24
Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation24
Using drones to reduce human disturbance while monitoring breeding status of an endangered raptor23
Regional‐scale forest restoration effects on ecosystem resiliency to drought: a synthesis of vegetation and moisture trends on Google Earth Engine22
Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks21
Monitoring ash dieback (Hymenoscyphus fraxineus) in British forests using hyperspectral remote sensing21
Drone‐based thermal remote sensing provides an effective new tool for monitoring the abundance of roosting fruit bats20
Passive acoustic monitoring reveals the role of habitat affinity in sensitivity of sub‐tropical East Asian bats to fragmentation19
Modelling species distribution from camera trap by‐catch using a scale‐optimized occupancy approach18
Simultaneous monitoring of vegetation dynamics and wildlife activity with camera traps to assess habitat change18
Mainstreaming remotely sensed ecosystem functioning in ecological niche models17
Spy in the sky: a method to identify pregnant small cetaceans17
Deep learning algorithm outperforms experienced human observer at detection of blue whale D‐calls: a double‐observer analysis17
Optimizing tropical forest bird surveys using passive acoustic monitoring and high temporal resolution sampling17
Wildfire severity and vegetation recovery drive post‐fire evapotranspiration in a southwestern pine‐oak forest, Arizona, USA17
Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non‐forest ecosystems16
Wildlife trail or systematic? Camera trap placement has little effect on estimates of mammal diversity in a tropical forest in Gabon16
Cloud‐native seascape mapping of Mozambique’s Quirimbas National Park with Sentinel‐216
Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods15
Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings15
Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN15
The real potential of current passive satellite data to map aboveground biomass in tropical forests15
How can Sentinel‐2 contribute to seagrass mapping in shallow, turbid Baltic Sea waters?15
Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania14
SmallSats: a new technological frontier in ecology and conservation?14
Arboreal camera trapping: a reliable tool to monitor plant‐frugivore interactions in the trees on large scales14
Earth observation for ecosystem accounting: spatially explicit national seagrass extent and carbon stock in Kenya, Tanzania, Mozambique and Madagascar13
Improved fire severity mapping in the North American boreal forest using a hybrid composite method13
Tracking canopy gaps in mangroves remotely using deep learning12
Remotely sensed variables explain microhabitat selection and reveal buffering behaviours against warming in a climate‐sensitive bird species12
Radar and multispectral remote sensing data accurately estimate vegetation vertical structure diversity as a fire resilience indicator12
Spaceborne LiDAR for characterizing forest structure across scales in the European Alps11
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study11
Radar and optical remote sensing for near real‐time assessments of cyclone impacts on coastal ecosystems11
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem10
Three‐dimensional mapping reveals scale‐dependent dynamics in biogenic reef habitat structure10
Impact of pile‐driving and offshore windfarm operational noise on fish chorusing10
Capturing hedgerow structure and flowering abundance with UAV remote sensing10
Opening a new era of investigating unreachable cliff flora using smart UAVs10
Predicting defoliator abundance and defoliation measurements using Landsat‐based condition scores10
Echolocation repetition rate as a proxy to monitor population structure and dynamics of sperm whales9
Improving the efficiency and accuracy of evaluating aridland riparian habitat restoration using unmanned aerial vehicles9
Canopy palm cover across the Brazilian Amazon forests mapped with airborneLiDARdata and deep learning9
The development of a convolutional neural network for the automatic detection of Northern Bobwhite Colinus virginianus covey calls9
Exploring the link between spectral variance and upper canopy taxonomic diversity in a tropical forest: influence of spectral processing and feature selection9
Land cover classification of treeline ecotones along a 1100 km latitudinal transect using spectral‐ and three‐dimensional information from UAV‐based aerial imagery9
StrucNet: a global network for automated vegetation structure monitoring8
Underwater robots provide similar fish biodiversity assessments as divers on coral reefs8
Detecting overmature forests with airborne laser scanning (ALS)8
Commercial drones can provide accurate and effective monitoring of the world's rarest primate8
Beyond tree cover: Characterizing southern China's forests using deep learning8
Mapping terrestrial groundwater‐dependent ecosystems in arid Australia using Landsat‐8 time‐series data and singular value decomposition8
Remote sensing liana infestation in an aseasonal tropical forest: addressing mismatch in spatial units of analyses8
Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades7
Prospects for monitoring bird migration along the East Asian‐Australasian Flyway using weather radar7
Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins7
Best practices to account for capture probability and viewable area in camera‐based abundance estimation7
Detecting gold mining impacts on insect biodiversity in a tropical mining frontier with SmallSat imagery7
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species7
Bidirectional drought‐related canopy dynamics across pantropical forests: a satellite‐based statistical analysis7
Interannual variation of gross primary production detected from optimal convolutional neural network at multi‐timescale water stress7
Automated visitor and wildlife monitoring with camera traps and machine learning7
Riparian ecosystems mapping at fine scale: a density approach based on multi‐temporal UAV photogrammetric point clouds6
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania6
Remotely piloted aircraft systems remote sensing can effectively retrieve ecosystem traits of alpine grasslands on the Tibetan Plateau at a landscape scale6
Resource pulses and human–wildlife conflicts: linking satellite indicators and ground data on forest productivity to predict brown bear damages6
A convolutional neural network architecture designed for the automated survey of seabird colonies6
Seabird surveillance: combining CCTV and artificial intelligence for monitoring and research6
Gray whale detection in satellite imagery using deep learning6
Mapping the spatial distribution of stand age and aboveground biomass from Landsat time series analyses of forest cover loss in tropical dry forests6
Interpolating missing land cover data using stochastic spatial random forests for improved change detection6
UAV thermal image detects genetic trait differences among populations and genotypes of Fremont cottonwood (Populus fremontii, Salicaceae)6
Comparison of bird migration in a radar wind profiler and a dedicated bird radar6
Regional evaluation of satellite‐based methods for identifying end of vegetation growing season6
Camera traps with white flash are a minimally invasive method for long‐term bat monitoring6
Imperfect detection and wildlife density estimation using aerial surveys with infrared and visible sensors5
Comparison of 3D structural metrics on oyster reefs using unoccupied aircraft photogrammetry and terrestrial LiDAR across a tidal elevation gradient5
Combining unmanned aerial vehicles and satellite imagery to quantify areal extent of intertidal brown canopy‐forming macroalgae5
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests5
Treeline remote sensing: from tracking treeline shifts to multi‐dimensional monitoring of ecotonal change5
Using camera traps to monitor cyclic vole populations5
Camera trapping with photos and videos: implications for ecology and citizen science5
Airborne laser scanning reveals increased growth and complexity of boreal forest canopies across a network of ungulate exclosures in Norway5
The development of an unsupervised hierarchical clustering analysis of dual‐polarization weather surveillance radar observations to assess nocturnal insect abundance and diversity5
Combining environmental DNA with remote sensing variables to map fish species distributions along a large river5
Using unoccupied aerial vehicles to map and monitor changes in emergent kelp canopy after an ecological regime shift5
Reindeer control over shrubification in subarctic wetlands: spatial analysis based on unoccupied aerial vehicle imagery5
Stronger conservation promotes mangrove biomass accumulation: Insights from spatially explicit assessments using UAV and Landsat data5
Countrywide classification of permanent grassland habitats at high spatial resolution5
Remote sensing and the UN Ocean Decade: high expectations, big opportunities4
Using camera traps to estimate ungulate abundance: a comparison of mark–resight methods4
What shapes fire size and spread in African savannahs?4
Trialling camera traps to determine occupancy and breeding in burrowing seabirds4
A systematic framework for continuous monitoring of land use and vegetation dynamics in multiple heterogeneous mine sites4
BatNet: a deep learning‐based tool for automated bat species identification from camera trap images4
Mapping water content in drying Antarctic moss communities using UAS‐borne SWIR imaging spectroscopy4
Quantifying the causes and consequences of variation in satellite‐derived population indices: a case study of emperor penguins4
Predicting resilience and stability of early second‐growth forests4
Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications4
A satellite perspective on the movement decisions of African elephants in relation to nomadic pastoralists4
Structure‐from‐motion photogrammetry demonstrates that fine‐scale seascape heterogeneity is essential in shaping mesophotic fish assemblages4
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Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat4
Aggregated time‐series features boost species‐specific differentiation of true and false positives in passive acoustic monitoring of bird assemblages4
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model4
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats4
LiDAR and multispectral imagery predict the occurrence of tree cavities suitable for a cavity‐nesting duck4
Monitoring shallow coral reef exposure to environmental stressors using satellite earth observation: the reef environmental stress exposure toolbox (RESET)4
Selection in the third dimension: Using LiDAR derived canopy metrics to assess individual and population‐level habitat partitioning of ocelots, bobcats, and coyotes3
Modeling approach for coastal dune habitat detection on coastal ecosystems combining very high‐resolution UAV imagery and field survey3
Shallow coastal water turbidity monitoring using Planet Dove satellites3
Efficacy of machine learning image classification for automated occupancy‐based monitoring3
A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest3
A semi‐automated camera trap distance sampling approach for population density estimation3
Land cover mapping with ultra‐high‐resolution aerial imagery3
Regional estimates of a range‐extending ecosystem engineer using stereo‐imagery from ROV transects collected with an efficient, spatially balanced design3
Mapping the long‐term influence of river discharge on coastal ocean chlorophyll‐a3
The vulnerability and resilience of seagrass ecosystems to marine heatwaves in New Zealand: a remote sensing analysis of seascape metrics usingPlanetScopeimagery3
Mexican agricultural frontier communities differ in forest dynamics with consequences for conservation and restoration3
Drone‐mounted audio‐visual deterrence of bats: implications for reducing aerial wildlife mortality by wind turbines3
Using satellite data to assess spatial drivers of bird diversity3
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