Canadian Journal of Remote Sensing

Papers
(The TQCC of Canadian Journal of Remote Sensing is 6. 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
Comparison of Deep and Machine Learning Approaches for Quebec Tree Species Classification Using a Combination of Multispectral and LiDAR Data22
See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring22
FMCNet: A Fuzzy Multiscale Convolution Network for Remote Sensing Image Segmentation16
Characterizing Tree Species in Northern Boreal Forests Using Multiple-Endmember Spectral Mixture Analysis and Multi-Temporal Satellite Imagery13
TDBOSegNet: A Semantic Segmentation Model for Typical Disaster-Bearing Objects in UAV Images of Flood Disasters12
Observations of Thin First Year Sea Ice Using a Suite of Surface Radar, LiDAR, and Drone Sensors11
Rice Phenology Classification Model Based on Sentinel-1 Using Machine Learning Method on Google Earth Engine11
Synthetic Aperture Radar as a Tool for Tornado Classification in Forested Areas10
Estimating GDP by Fusing Nighttime Light and Land Cover Data10
3D Modeling of Façade Elements Using Multi-View Images from Mobile Scanning Systems10
Learning-Based Methods for Detection and Monitoring of Shallow Flood-Affected Areas: Impact of Shallow-Flood Spreading on Vegetation Density10
Multi-Source Remote Sensing Based Modeling of Vegetation Productivity in the Boreal: Issues & Opportunities10
Early detection of common reed ( Phragmites australis ) using unoccupied aerial vehicles and deep learning10
RADARSAT-2 DInSAR and GNSS-Derived Finite Fault Model of the 2012 Mw 7.8 Haida Gwaii Earthquake9
Correction8
Radarsat Constellation Mission Derived Winter Glacier Velocities for the St. Elias Icefield, Yukon/Alaska: 2022 and 20238
The WIPI Model Based on Multi-Scale Local Contrast Post-Processing for Infrared Small Target Detection8
Leveraging the Full Potential of Landsat to Investigate Inequalities in Post-Development Residential Canopy Cover (1972–2020)8
Assessing the Performance of Satellite-Based Models for Crop Yield Estimation in the Canadian Prairies8
From Stationary to Mobile: Unleashing the Full Potential of Terrestrial LiDAR through Sensor Integration8
Compact polarimetric response of native grassland and seeded forage across a gradient of Southern Alberta Prairie ecoregions8
Mapping Dominant Boreal Tree Species Groups by Combining Area-Based and Individual Tree Crown LiDAR Metrics with Sentinel-2 Data8
Characterizing the Impact of Non-Stand Replacing Disturbances on LiDAR Based Forest Structure Using a Harmonized Landsat-Sentinel-2 Time-Series7
Mapping land cover in the low Arctic using multiple sources of earth observation data7
Detection of Landfast Ice Polynyas from SAR Imagery Using Deep Learning7
Separating Shrub Cover From Green Vegetation in Grasslands Using Hyperspectral Vegetation Indices7
Mapping Rice Production Typology Using Sentinel-1 Time Series Similarity Analysis to Support Climate Resilient Agriculture in the Vietnamese Mekong Delta7
Monitoring Water Turbidity in a Temperate Floodplain Using UAV: Potential and Challenges7
Hyperspectral Imagery Denoising Using Minimum Noise Fraction and Video Non-Local Bayes Algorithms7
Projected Future Changes in Burn Probability in Canada’s Forests and Communities Under Different Climate Change Scenarios7
Synthetic Images for Georeferencing Camera Images in Mobile Mapping Point-clouds7
Building Detection and Outlining in Multi-Modal Remote Sensor Data: A Stratified Approach6
Crop Classification Using Multi-Temporal RADARSAT Constellation Mission Compact Polarimetry SAR Data6
Self-Supervised Deep Learning for Urban Land Cover Classification from Very High Resolution Imagery6
Terrestrial Snowmelt as a Precursor to Landfast Sea Ice Break-up in Hudson Bay and James Bay6
Correction6
Spectral Spatial Neighborhood Attention Transformer for Hyperspectral Image Classification6
Comparative Analysis of Empirical and Machine Learning Models for Chl a Extraction Using Sentinel-2 and Landsat OLI Data: Opportunities, Limitations, and Challenges6
A Bi-Temporal Airborne Lidar Shrub-to-Tree Aboveground Biomass Model for the Taiga of Western Canada6
Changes in Water and Carbon Fluxes in the USA Southern Great Plains Grassland Due to Evergreen Forest Encroachment6
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