Remote Sensing in Ecology and Conservation

Papers
(The TQCC of Remote Sensing in Ecology and Conservation is 11. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays67
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability65
Issue Information52
Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park48
Issue Information45
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning44
Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage43
Countrywide classification of permanent grassland habitats at high spatial resolution36
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests34
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study29
Issue Information28
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest27
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats26
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes25
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests24
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery24
Quantifying nocturnal bird migration using acoustics: opportunities and challenges23
Issue Information23
Remote monitoring of short‐term body mass variation in savanna ungulates23
Issue Information22
Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images22
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems21
Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution21
Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications21
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem20
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar20
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model20
Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network19
ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts19
Scalable low‐cost seabed landers: the missing link for sustained, integrated, long‐term observations in dynamic shallow seas18
18
Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean17
Quantifying wetness variability in aapa mires with Sentinel‐2: towards improved monitoring of an EU priority habitat17
Spatial distribution and drivers of aboveground forest biomass in Mexico using GEDI and national forest inventory data17
Issue Information17
Using spatiotemporal information in weather radar data to detect and track communal roosts16
A new way to understand migration routes of oceanic squid (Ommastrephidae) from satellite data16
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania16
Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data16
UAV data and deep learning: efficient tools to map ant mounds and their ecological impact16
Issue Information16
Using time‐series remote sensing to identify and track individual bird nests at large scales15
15
Evaluating land–sea linkages using land cover change and coral reef monitoring data: A case study from northeastern Puerto Rico15
Efficacy of machine learning image classification for automated occupancy‐based monitoring15
15
Mapping tree cover expansion in Montana, U.S.A. rangelands using high‐resolution historical aerial imagery15
Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians14
Issue Information14
Automated extraction of right whale morphometric data from drone aerial photographs14
13
Long‐duration remote underwater videos reveal that grazing by fishes is highly variable through time and dominated by non‐indigenous species13
13
Using Unoccupied Aerial Vehicles to estimate availability and group size error for aerial surveys of coastal dolphins13
Issue Information13
Towards edge processing of images from insect camera traps13
13
Beyond tree cover: Characterizing southern China's forests using deep learning12
How to achieve accurate wildlife detection by using vehicle‐mounted mobile monitoring images and deep learning?12
The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates individual identification of leopards via their roars12
Random encounter model is a reliable method for estimating population density of multiple species using camera traps12
Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques12
Walruses from space: walrus counts in simultaneous remotely piloted aircraft system versus very high‐resolution satellite imagery12
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery12
Remotely sensing coral bleaching in the Red Sea12
Integrating terrestrial and canopy laser scanning for comprehensive analysis of large old trees: Implications for single tree and biodiversity research11
Comparison of bird migration in a radar wind profiler and a dedicated bird radar11
Drone‐mounted audio‐visual deterrence of bats: implications for reducing aerial wildlife mortality by wind turbines11
Accounting for animal movement during aerial imaging surveys11
Tracking canopy gaps in mangroves remotely using deep learning11
Inferring camera trap detection zones for rare species using species‐ and camera‐specific traits: a meta‐level analysis11
Hareport hazard: Identifying hare activity patterns and increased mammal–aircraft strike risk at an International Airport11
StrucNet: a global network for automated vegetation structure monitoring11
0.089499950408936