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 2021-09-01 to 2025-09-01.)
ArticleCitations
Issue Information100
Camera traps with white flash are a minimally invasive method for long‐term bat monitoring66
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study49
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests44
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays43
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning39
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability36
Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage34
Countrywide classification of permanent grassland habitats at high spatial resolution31
Issue Information30
HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments28
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest28
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats28
Improved fire severity mapping in the North American boreal forest using a hybrid composite method26
Issue Information25
Remote monitoring of short‐term body mass variation in savanna ungulates23
Quantifying nocturnal bird migration using acoustics: opportunities and challenges22
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery22
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests21
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes21
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems20
Issue Information20
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 resolution18
Mapping terrestrial groundwater‐dependent ecosystems in arid Australia using Landsat‐8 time‐series data and singular value decomposition18
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar17
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model17
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Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem16
Spatial distribution and drivers of aboveground forest biomass in Mexico using GEDI and national forest inventory data16
Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat16
ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts15
Issue Information14
Issue Information14
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania13
Radar and optical remote sensing for near real‐time assessments of cyclone impacts on coastal ecosystems13
A new way to understand migration routes of oceanic squid (Ommastrephidae) from satellite data13
Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data13
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
Towards edge processing of images from insect camera traps12
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Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery12
Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians12
Issue Information12
Efficacy of machine learning image classification for automated occupancy‐based monitoring12
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Issue Information11
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species11
How can Sentinel‐2 contribute to seagrass mapping in shallow, turbid Baltic Sea waters?11
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Random encounter model is a reliable method for estimating population density of multiple species using camera traps11
Automated extraction of right whale morphometric data from drone aerial photographs11
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Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins11
Walruses from space: walrus counts in simultaneous remotely piloted aircraft system versus very high‐resolution satellite imagery11
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery10
How to achieve accurate wildlife detection by using vehicle‐mounted mobile monitoring images and deep learning?10
Hareport hazard: Identifying hare activity patterns and increased mammal–aircraft strike risk at an International Airport10
The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates individual identification of leopards via their roars10
Remotely sensing coral bleaching in the Red Sea10
Stronger conservation promotes mangrove biomass accumulation: Insights from spatially explicit assessments using UAV and Landsat data10
Beyond tree cover: Characterizing southern China's forests using deep learning10
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques10
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