Remote Sensing in Ecology and Conservation

Papers
(The H4-Index of Remote Sensing in Ecology and Conservation is 21. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Issue Information108
Issue Information72
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays55
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study46
Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage46
Early spectral dynamics are indicative of distinct growth patterns in post‐wildfire forests46
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning42
Countrywide classification of permanent grassland habitats at high spatial resolution37
Woody cover and geology as regional‐scale determinants of semi‐arid savanna stability35
Issue Information33
Quantifying nocturnal bird migration using acoustics: opportunities and challenges33
Remote monitoring of short‐term body mass variation in savanna ungulates32
Bridging the gap in deep seafloor management: Ultra fine‐scale ecological habitat characterization of large seascapes29
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species‐rich subtropical forest27
Widespread drought‐induced leaf shedding and legacy effects on productivity in European deciduous forests26
Using airborne lidar to characterize North European terrestrial high‐dark‐diversity habitats24
HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments23
Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery22
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems21
Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar21
Issue Information21
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model21
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