Remote Sensing in Ecology and Conservation

Papers
(The TQCC of Remote Sensing in Ecology and Conservation is 10. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
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Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays50
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability48
Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage42
Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park37
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests37
Countrywide classification of permanent grassland habitats at high spatial resolution35
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study35
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning32
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Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery26
Remote monitoring of short‐term body mass variation in savanna ungulates25
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests24
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats23
Quantifying nocturnal bird migration using acoustics: opportunities and challenges23
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes22
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest21
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HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments20
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Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution19
Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications19
Mapping terrestrial groundwater‐dependent ecosystems in arid Australia using Landsat‐8 time‐series data and singular value decomposition19
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model18
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar18
Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images18
Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network17
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems17
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem17
Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat16
Spatial distribution and drivers of aboveground forest biomass in Mexico using GEDI and national forest inventory data16
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Radar and optical remote sensing for near real‐time assessments of cyclone impacts on coastal ecosystems15
ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts15
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania15
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A new way to understand migration routes of oceanic squid (Ommastrephidae) from satellite data15
UAV data and deep learning: efficient tools to map ant mounds and their ecological impact15
Using spatiotemporal information in weather radar data to detect and track communal roosts14
Towards edge processing of images from insect camera traps14
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Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data14
Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians14
Automated extraction of right whale morphometric data from drone aerial photographs14
Using time‐series remote sensing to identify and track individual bird nests at large scales14
Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery14
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Efficacy of machine learning image classification for automated occupancy‐based monitoring13
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Remotely sensing coral bleaching in the Red Sea12
Random encounter model is a reliable method for estimating population density of multiple species using camera traps12
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species12
Beyond tree cover: Characterizing southern China's forests using deep learning12
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Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins12
Stronger conservation promotes mangrove biomass accumulation: Insights from spatially explicit assessments using UAV and Landsat data11
Walruses from space: walrus counts in simultaneous remotely piloted aircraft system versus very high‐resolution satellite imagery11
Inferring camera trap detection zones for rare species using species‐ and camera‐specific traits: a meta‐level analysis11
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery11
The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates individual identification of leopards via their roars11
How to achieve accurate wildlife detection by using vehicle‐mounted mobile monitoring images and deep learning?11
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques11
StrucNet: a global network for automated vegetation structure monitoring10
Mexican agricultural frontier communities differ in forest dynamics with consequences for conservation and restoration10
Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights10
Drone‐mounted audio‐visual deterrence of bats: implications for reducing aerial wildlife mortality by wind turbines10
Hareport hazard: Identifying hare activity patterns and increased mammal–aircraft strike risk at an International Airport10
Highly precise community science annotations of video camera‐trapped fauna in challenging environments10
Tracking canopy gaps in mangroves remotely using deep learning10
Comparison of bird migration in a radar wind profiler and a dedicated bird radar10
Colony‐nesting gulls restrict activity levels of a native top carnivore during the breeding season10
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Integrating terrestrial and canopy laser scanning for comprehensive analysis of large old trees: Implications for single tree and biodiversity research10
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