Remote Sensing in Ecology and Conservation

Papers
(The TQCC of Remote Sensing in Ecology and Conservation is 9. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays87
Issue Information59
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning52
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study41
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability40
Camera traps with white flash are a minimally invasive method for long‐term bat monitoring38
Countrywide classification of permanent grassland habitats at high spatial resolution36
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests34
Quantifying nocturnal bird migration using acoustics: opportunities and challenges32
Remote monitoring of short‐term body mass variation in savanna ungulates31
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery29
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats27
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes27
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests27
Issue Information23
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest23
HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments23
Improved fire severity mapping in the North American boreal forest using a hybrid composite method23
Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications22
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model21
Trialling camera traps to determine occupancy and breeding in burrowing seabirds21
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems20
Underwater robots provide similar fish biodiversity assessments as divers on coral reefs20
Mapping terrestrial groundwater‐dependent ecosystems in arid Australia using Landsat‐8 time‐series data and singular value decomposition19
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar19
Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution19
18
Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat17
Bidirectional drought‐related canopy dynamics across pantropical forests: a satellite‐based statistical analysis16
16
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem16
Using camera traps to estimate ungulate abundance: a comparison of mark–resight methods16
Quantifying the causes and consequences of variation in satellite‐derived population indices: a case study of emperor penguins16
Issue Information15
Issue Information15
A new way to understand migration routes of oceanic squid (Ommastrephidae) from satellite data14
Issue Information14
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania13
Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data13
Radar and optical remote sensing for near real‐time assessments of cyclone impacts on coastal ecosystems13
UAV data and deep learning: efficient tools to map ant mounds and their ecological impact13
Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery12
Issue Information12
Using spatiotemporal information in weather radar data to detect and track communal roosts12
12
Issue Information11
Efficacy of machine learning image classification for automated occupancy‐based monitoring11
Automated extraction of right whale morphometric data from drone aerial photographs11
Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians11
10
Remotely sensing coral bleaching in the Red Sea10
Wildfire severity and vegetation recovery drive post‐fire evapotranspiration in a southwestern pine‐oak forest, Arizona, USA10
Issue Information10
Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins10
Towards edge processing of images from insect camera traps10
Bioscatter transport by tropical cyclones: insights from 10 years in the Atlantic basin10
Walruses from space: walrus counts in simultaneous remotely piloted aircraft system versus very high‐resolution satellite imagery10
10
How can Sentinel‐2 contribute to seagrass mapping in shallow, turbid Baltic Sea waters?10
Random encounter model is a reliable method for estimating population density of multiple species using camera traps9
Stronger conservation promotes mangrove biomass accumulation: Insights from spatially explicit assessments using UAV and Landsat data9
Comparison of bird migration in a radar wind profiler and a dedicated bird radar9
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery9
How to achieve accurate wildlife detection by using vehicle‐mounted mobile monitoring images and deep learning?9
The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates the individual identification of leopards via their roars9
Hareport hazard: Identifying hare activity patterns and increased mammal–aircraft strike risk at an International Airport9
Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non‐forest ecosystems9
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species9
Beyond tree cover: Characterizing southern China's forests using deep learning9
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques9
StrucNet: a global network for automated vegetation structure monitoring9
1.0056331157684