OOIR: Observatory of International Research

Papers

(The H4-Index of Remote Sensing in Ecology and Conservation is 18. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes	66
Real‐time insect tracking and monitoring with computer vision and deep learning	41
Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data	37
Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat	35
Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images	34
Automated detection of Hainan gibbon calls for passive acoustic monitoring	33
Ecoacoustics in the rain: understanding acoustic indices under the most common geophonic source in tropical rainforests	30
Quantifying large‐scale ecosystem stability with remote sensing data	28
Characterizing spatial variability in coastal wetland biomass across multiple scales using UAV and satellite imagery	28
Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands	28
Discovery of new colonies by Sentinel2 reveals good and bad news for emperor penguins	27
Ecoacoustics: acoustic sensing for biodiversity monitoring at scale	26
21 000 birds in 4.5 h: efficient large‐scale seabird detection with machine learning	25
Dual visible‐thermal camera approach facilitates drone surveys of colonial marshbirds	24
Integration of close‐range underwater photogrammetry with inspection and mesh processing software: a novel approach for quantifying ecological dynamics of temperate biogenic reefs	22
Regional matters: On the usefulness of regional land‐cover datasets in times of global change	21
HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments	19
Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning	18
Using drones to reduce human disturbance while monitoring breeding status of an endangered raptor	18
Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation	18
Remote sensing data fusion as a tool for biomass prediction in extensive grasslands invaded by L. polyphyllus	18