OOIR: Observatory of International Research

Papers

(The H4-Index of Remote Sensing in Ecology and Conservation is 20. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes	77
Real‐time insect tracking and monitoring with computer vision and deep learning	64
Automated detection of Hainan gibbon calls for passive acoustic monitoring	47
Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images	45
Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data	44
Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands	43
Characterizing spatial variability in coastal wetland biomass across multiple scales using UAV and satellite imagery	38
Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat	38
Regional matters: On the usefulness of regional land‐cover datasets in times of global change	34
21 000 birds in 4.5 h: efficient large‐scale seabird detection with machine learning	30
Dual visible‐thermal camera approach facilitates drone surveys of colonial marshbirds	25
HydroMoth: Testing a prototype low‐cost acoustic recorder for aquatic environments	25
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery	25
Random encounter model is a reliable method for estimating population density of multiple species using camera traps	25
Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation	24
Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning	24
Using drones to reduce human disturbance while monitoring breeding status of an endangered raptor	23
Regional‐scale forest restoration effects on ecosystem resiliency to drought: a synthesis of vegetation and moisture trends on Google Earth Engine	22
Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks	21
Monitoring ash dieback (Hymenoscyphus fraxineus) in British forests using hyperspectral remote sensing	21
Drone‐based thermal remote sensing provides an effective new tool for monitoring the abundance of roosting fruit bats	20