OOIR: Observatory of International Research

Papers

(The TQCC of Remote Sensing in Ecology and Conservation is 8. 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
Random encounter model is a reliable method for estimating population density of multiple species using camera traps	25
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
Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning	24
Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation	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
Passive acoustic monitoring reveals the role of habitat affinity in sensitivity of sub‐tropical East Asian bats to fragmentation	19
Simultaneous monitoring of vegetation dynamics and wildlife activity with camera traps to assess habitat change	18
Modelling species distribution from camera trap by‐catch using a scale‐optimized occupancy approach	18
Spy in the sky: a method to identify pregnant small cetaceans	17

Deep learning algorithm outperforms experienced human observer at detection of blue whale D‐calls: a double‐observer analysis	17
Optimizing tropical forest bird surveys using passive acoustic monitoring and high temporal resolution sampling	17
Wildfire severity and vegetation recovery drive post‐fire evapotranspiration in a southwestern pine‐oak forest, Arizona, USA	17
Mainstreaming remotely sensed ecosystem functioning in ecological niche models	17
Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non‐forest ecosystems	16
Wildlife trail or systematic? Camera trap placement has little effect on estimates of mammal diversity in a tropical forest in Gabon	16
Cloud‐native seascape mapping of Mozambique’s Quirimbas National Park with Sentinel‐2	16
Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods	15
Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings	15
Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN	15
The real potential of current passive satellite data to map aboveground biomass in tropical forests	15
How can Sentinel‐2 contribute to seagrass mapping in shallow, turbid Baltic Sea waters?	15
Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania	14
SmallSats: a new technological frontier in ecology and conservation?	14
Arboreal camera trapping: a reliable tool to monitor plant‐frugivore interactions in the trees on large scales	14
Earth observation for ecosystem accounting: spatially explicit national seagrass extent and carbon stock in Kenya, Tanzania, Mozambique and Madagascar	13
Improved fire severity mapping in the North American boreal forest using a hybrid composite method	13
Tracking canopy gaps in mangroves remotely using deep learning	12
Remotely sensed variables explain microhabitat selection and reveal buffering behaviours against warming in a climate‐sensitive bird species	12
Radar and multispectral remote sensing data accurately estimate vegetation vertical structure diversity as a fire resilience indicator	12
Spaceborne LiDAR for characterizing forest structure across scales in the European Alps	11
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study	11
Radar and optical remote sensing for near real‐time assessments of cyclone impacts on coastal ecosystems	11
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem	10
Three‐dimensional mapping reveals scale‐dependent dynamics in biogenic reef habitat structure	10
Impact of pile‐driving and offshore windfarm operational noise on fish chorusing	10
Capturing hedgerow structure and flowering abundance with UAV remote sensing	10
Opening a new era of investigating unreachable cliff flora using smart UAVs	10
Predicting defoliator abundance and defoliation measurements using Landsat‐based condition scores	10
Canopy palm cover across the Brazilian Amazon forests mapped with airborneLiDARdata and deep learning	9
The development of a convolutional neural network for the automatic detection of Northern Bobwhite Colinus virginianus covey calls	9
Exploring the link between spectral variance and upper canopy taxonomic diversity in a tropical forest: influence of spectral processing and feature selection	9
Land cover classification of treeline ecotones along a 1100 km latitudinal transect using spectral‐ and three‐dimensional information from UAV‐based aerial imagery	9
Echolocation repetition rate as a proxy to monitor population structure and dynamics of sperm whales	9
Improving the efficiency and accuracy of evaluating aridland riparian habitat restoration using unmanned aerial vehicles	9
StrucNet: a global network for automated vegetation structure monitoring	8
Underwater robots provide similar fish biodiversity assessments as divers on coral reefs	8
Detecting overmature forests with airborne laser scanning (ALS)	8
Commercial drones can provide accurate and effective monitoring of the world's rarest primate	8
Beyond tree cover: Characterizing southern China's forests using deep learning	8
Mapping terrestrial groundwater‐dependent ecosystems in arid Australia using Landsat‐8 time‐series data and singular value decomposition	8
Remote sensing liana infestation in an aseasonal tropical forest: addressing mismatch in spatial units of analyses	8