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 2020-05-01 to 2024-05-01.)
ArticleCitations
The Second Generation Canadian Wetland Inventory Map at 10 Meters Resolution Using Google Earth Engine46
Autumn Crop Yield Prediction using Data-Driven Approaches:- Support Vector Machines, Random Forest, and Deep Neural Network Methods38
Integration of Multi-Source Geospatial Data from GNSS Receivers, Terrestrial Laser Scanners, and Unmanned Aerial Vehicles24
Estimation of Phytoplankton Chlorophyll-a Concentrations in the Western Basin of Lake Erie Using Sentinel-2 and Sentinel-3 Data22
Impacts of Topography on the Land Cover Classification in the Qilian Mountains, Northwest China20
Wheat Head Detection using Deep, Semi-Supervised and Ensemble Learning20
RADARSAT Constellation Mission’s Operational Polarimetric Modes: A User-Driven Radar Architecture17
Wetland Mapping Using Multi-Spectral Satellite Imagery and Deep Convolutional Neural Networks: A Case Study in Newfoundland and Labrador, Canada17
Monitoring Asphalt Pavement Aging and Damage Conditions from Low-Altitude UAV Imagery Based on a CNN Approach17
UAV-Based Hyperspectral Imaging Technique to Estimate Canola (Brassica napus L.) Seedpods Maturity16
Spatially-Explicit Prediction of Wildfire Burn Probability Using Remotely-Sensed and Ancillary Data16
UAV and High Resolution Satellite Mapping of Forage Lichen (Cladonia spp.) in a Rocky Canadian Shield Landscape16
A Rule-Based Classification Method for Mapping Saltmarsh Land-Cover in South-Eastern Bangladesh from Landsat-8 OLI16
A Multi-Feature Fusion Using Deep Transfer Learning for Earthquake Building Damage Detection15
A Comprehensive Survey of Optical Remote Sensing Image Segmentation Methods14
Multi-Sensor Aboveground Biomass Estimation in the Broadleaved Hyrcanian Forest of Iran14
Potato Late Blight Detection at the Leaf and Canopy Level Using Hyperspectral Data14
Efficacy of Remote Sensing in Early Forest Fire Detection: A Thermal Sensor Comparison14
Intra-Field Canopy Nitrogen Retrieval from Unmanned Aerial Vehicle Imagery for Wheat and Corn Fields14
RADARSAT-2 Derived Glacier Velocities and Dynamic Discharge Estimates for the Canadian High Arctic: 2015–202013
Object-Based Wetland Classification Using Multi-Feature Combination of Ultra-High Spatial Resolution Multispectral Images12
A Comparison between Sentinel-2 and Landsat 8 OLI Satellite Images for Soil Salinity Distribution Mapping Using a Deep Learning Convolutional Neural Network12
Comparison of Machine and Deep Learning Methods to Estimate Shrub Willow Biomass from UAS Imagery11
Deep Learning Approaches to Spatial Downscaling of GRACE Terrestrial Water Storage Products Using EALCO Model Over Canada11
Observations from C-Band SAR Fully Polarimetric Parameters of Mobile Sea Ice Based on Radar Scattering Mechanisms to Support Operational Sea Ice Monitoring11
U-Net Based Road Area Guidance for Crosswalks Detection from Remote Sensing Images10
Learning-Based Methods for Detection and Monitoring of Shallow Flood-Affected Areas: Impact of Shallow-Flood Spreading on Vegetation Density10
Benchmarked RADARSAT-2, SENTINEL-1 and RADARSAT Constellation Mission Change-Detection Monitoring at North Slide, Thompson River Valley, British Columbia: ensuring a Landslide-Resilient National Railw10
Fusing Landsat and SAR Data for Mapping Tropical Deforestation through Machine Learning Classification and the PVts-β Non-Seasonal Detection Approach9
A Comparative Study of Deep Learning Approaches to Rooftop Detection in Aerial Images9
Object-Oriented and Deep-Learning-Based High-Resolution Mapping from Large Remote Sensing Imagery9
A Remote Sensing Land Cover Classification Algorithm Based on Attention Mechanism9
Deep Learning-Based Spatiotemporal Fusion Approach for Producing High-Resolution NDVI Time-Series Datasets9
Digital Terrestrial Photogrammetry to Enhance Field-Based Forest Inventory across Stand Conditions9
Detecting Individual-Tree Crown Regions from Terrestrial Laser Scans with an Anchor-Free Deep Learning Model8
Comparison of LiDAR Building Point Cloud with Reference Model for Deep Comprehension of Cloud Structure7
Pix2Pix Network to Estimate Agricultural Near Infrared Images from RGB Data7
Regional Crop Characterization Using Multi-Temporal Optical and Synthetic Aperture Radar Earth Observations Data7
Detection of Lesions in Lettuce Caused by Pectobacterium carotovorum Subsp. carotovorum by Supervised Classification Using Multispectral Images7
An Efficient Change Detection for Large SAR Images Based on Modified U-Net Framework7
Measurement of Tunnel Clearance Convergence Using Mobile Laser Detection Technology6
Predictions of Biomass Change in a Hemi-Boreal Forest Based on Multi-Polarization L- and P-Band SAR Backscatter6
Super-Resolution Surface Water Mapping on the Canadian Shield Using Planet CubeSat Images and a Generative Adversarial Network6
Road Extraction from UAV Images Using a Deep ResDCLnet Architecture6
Monitoring Crops Using Compact Polarimetry and the RADARSAT Constellation Mission6
Evaluation of Features Derived from High-Resolution Multispectral Imagery and LiDAR Data for Object-Based Support Vector Machine Classification of Tree Species6
Delineation of Bare Soil Field Areas from Unmanned Aircraft System Imagery with the Mean Shift Unsupervised Clustering and the Random Forest Supervised Classification6
Characterizing the Great Lakes Coastal Wetlands with InSAR Observations from X-, C-, and L-Band Sensors6
0.018469095230103