Publications

May 30, 2026 · 12 min read

Journal Articles

  • A. Reid, H. McGrath, S. Jabari. Efficient First Floor Height Estimation of Buildings from Sequential Images and Airborne LiDAR for Flood Risk Analysis. Canadian Journal of Remote Sensing, 51(1), 2581695, 2025.
    Introduces a cost-effective method using vehicle-mounted GoPro imagery and airborne LiDAR to measure first-floor heights at scale, enabling more accurate building-level flood damage estimation.
  • C. Sornsakul, D. Lichti, K. O'Keefe, S. Jabari, C. Tello-Gil. Sidewalk Pothole Report Improvement Through Citizen's Smartphone. Applied Geomatics, 18(1), 51, 2026.
    Develops a citizen-science workflow that uses smartphone sensors to detect, geolocate, and report sidewalk damage, improving the spatial accuracy of municipal infrastructure maintenance records.
  • F. Soleimani, S. Jabari. Automated LoD2 Building Reconstruction Using Bimodal Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.
    Combines aerial imagery and LiDAR through joint deep-learning segmentation to automatically reconstruct LoD2 building models, advancing the scalability of urban 3D city modeling.
  • H. Amini, S. Jabari, H. McGrath. Assessing Future Changes in Mean Radiant Temperature: Considering Climate Change and Urban Development Impacts in Fredericton, New Brunswick, Canada, by 2050. GeoHazards, 6(1), 10, 2025.
    Projects future mean radiant temperature in Fredericton under combined climate-change and urban-development scenarios, supporting heat-adaptation planning at the city scale.
  • J. Leahy, S. Jabari, D. D. Lichti. Enhancing Cross-Modal Camera Image and LiDAR Data Registration Using Feature-Based Matching. Remote Sensing, 2025.
    Improves the alignment between camera imagery and LiDAR point clouds through feature-based matching, a critical step for downstream fusion tasks like 3D reconstruction and digital twin generation.
  • C. Tello, S. Jabari, L. Waugh, M. Masry, J. McGinn. AI-Guided Concrete Structure Crack Mapping. Canadian Journal of Civil Engineering, 2024.
    Develops an AI-guided pipeline for mapping cracks across concrete infrastructure from imagery, supporting more efficient and consistent structural condition assessments.
  • C. Tello-Gil, S. Jabari, L. Waugh, M. Masry, J. McGinn. Crack Detection and Dimensional Assessment Using Smartphone Sensors and Deep Learning. Canadian Journal of Civil Engineering, 51(11), 1197-1211, 2024.
    Combines smartphone-mounted sensors with deep learning models to detect and measure cracks in concrete structures, lowering the equipment cost of routine infrastructure inspections.
  • A. Salehi, S. Jabari. 3D Modeling of Facade Elements Using Multi-View Images from Mobile Scanning Systems. Canadian Journal of Remote Sensing, 2024. (Best paper of CJRS in 2024.)
    Reconstructs windows, doors, and other facade elements from imagery captured by ground-level mobile scanners, supporting fine-grained LoD3 building models for urban digital twins.
  • F. Soleimani, S. Jabari. Large-Scale LoD2 Building Modeling Using Deep Multimodal Feature Fusion. Canadian Journal of Remote Sensing, 2023.
    Scales LoD2 building reconstruction to large urban areas by fusing aerial imagery and LiDAR features within a deep learning framework, reducing the manual effort typically required for 3D city modeling.
  • S. S. Baghermanesh, S. Jabari, H. McGrath. Urban Flood Detection Using TerraSAR-X and Simulated SAR Reflectivity Maps. Remote Sensing, 2022.
    Combines TerraSAR-X imagery with simulated SAR reflectivity maps to detect urban flooding, addressing the difficulty of distinguishing water from built-up surfaces in radar data.
  • M. Esfandiari, G. Abdi, S. Jabari. A Deep Transfer Learning-Based Damage Assessment on Post-Event Very High-Resolution Images. Geomatica, 2022.
    Applies deep transfer learning to assess post-disaster building damage from very-high-resolution imagery, reducing the need for large labeled training datasets in emergency response contexts.
  • M. Krafczek, S. Jabari. Generating LoD2 City Models Using a Hybrid-Driven Approach: A Case Study for New Brunswick Urban Areas. Geomatica, 2022.
    Generates LoD2 city models for New Brunswick urban areas using a hybrid data-driven and geometric approach, demonstrating the workflow on regional building stock.
  • G. Abdi, S. Jabari. Multi-Feature Fusion Using Deep Transfer Learning for Earthquake Building Damage Detection. Canadian Journal of Remote Sensing, 2021. (2nd best paper of CJRS in 2021.)
    Uses deep transfer learning with fused multi-feature inputs to detect earthquake-induced building damage from imagery, improving classification accuracy in post-event response scenarios.
  • M. Esfandiari, G. Abdi, S. Jabari, H. McGrath, D. Coleman. Flood Hazard Risk Mapping Using a Pseudo-Supervised Random Forest. Remote Sensing, 2020.
    Maps flood hazard risk using a pseudo-supervised random forest classifier, reducing the need for extensive labeled training data while maintaining mapping accuracy.
  • S. Jabari, M. Rezaie, F. Fathollahi, Y. Zhang. Multispectral Change Detection Using Multivariate Kullback-Leibler Distance. ISPRS Journal of Photogrammetry and Remote Sensing, 2019.
    Improves multispectral change detection between satellite images using multivariate Kullback-Leibler distance, providing a statistically robust similarity measure for monitoring urban change over time.
  • F. Soleimani Vostikolaei, M. Akhondzadeh. A Comparison of Four Methods for Extracting Land Surface Emissivity and Temperature in Thermal Infrared Hyperspectral Data. International Journal of Earth Observation and Geospatial Information, 2018.
    Benchmarks four temperature-emissivity separation methods on thermal infrared hyperspectral data, comparing their accuracy for retrieving land surface emissivity and temperature.
  • F. Soleimani Vostikolaei, M. Akhondzadeh, H. Ghanbari. Improved ISAC Algorithm to Retrieve Atmospheric Parameters from HyTES Hyperspectral Images Using Gaussian Mixture Model and Error Ellipse. IEEE Geoscience and Remote Sensing Letters (GRSL), 2017.
    Enhances the in-scene atmospheric compensation algorithm with a Gaussian mixture model and error ellipse analysis to more accurately retrieve atmospheric parameters from HyTES hyperspectral thermal imagery.
  • S. Jabari, F. Fathollahi, A. Roshan, Y. Zhang. Improving UAV Imaging Quality by Optical Sensor Fusion: An Initial Study. International Journal of Remote Sensing, 2017.
    Demonstrates how fusing optical sensors on UAV platforms can improve image quality, supporting downstream tasks like classification and photogrammetric mapping.
  • S. Jabari, Y. Zhang. Building Change Detection Improvement Using Topographic Correction Models. Advances in Remote Sensing, 2017.
    Shows that applying topographic correction models prior to change detection improves the accuracy of building-level change identification in sloped or hilly urban terrain.
  • Y. Zhang, A. Roshan, S. Jabari, S. A. Khiabani, F. Fathollahi, R. K. Mishra. Understanding the Quality of Pansharpening: A Lab Study. Photogrammetric Engineering and Remote Sensing, 2016.
    Presents a controlled laboratory evaluation of pansharpening methods, providing systematic comparisons of spectral and spatial fidelity across common algorithms.
  • S. Jabari, Y. Zhang. RPC-Based Coregistration of VHR Imagery for Urban Change Detection. Photogrammetric Engineering and Remote Sensing, 2016.
    Develops an RPC-based co-registration method to align very-high-resolution satellite images acquired at different viewing angles, enabling more accurate urban change detection.
  • S. Jabari, Y. Zhang. Very High-Resolution Satellite Image Classification Using Fuzzy Rule-Based Systems. Algorithms, 2013.
    Classifies objects in very-high-resolution satellite imagery using a fuzzy rule-based system, accommodating ambiguity in spectral signatures for urban land-cover mapping.

Book Chapter

  • S. Jabari, Y. Zhang. Urban Change Detection Utilizing High-Resolution Optical Images Taken from Different Viewing Angles and Different Platforms. In Urban Remote Sensing (Second Edition), P. Weng, Q. Quattrochi, D. Gamba (Eds.), CRC Press, pp. 125-148, 2018.

Refereed Conference Proceedings

  • A. Reid, S. Jabari, H. McGrath. Risk-guided Flood Segmentation from Optical Satellite Imagery using NDWI Threshold Optimization and Segment Anything Model. ISPRS Archives, XXV ISPRS Congress / 47th Canadian Symposium on Remote Sensing, Toronto, Canada, 2026.
  • J. R. S. Cramb, D. Lichti, J. Matyas, S. Jabari. 3D Reconstruction of Reindeer Antlers using a Low-Cost Optical Camera System and Gaussian Splatting. ISPRS Archives, XXV ISPRS Congress (TC2: Photogrammetry), Toronto, Canada, 2026.
  • S. McNally, S. Jabari, H. McGrath, M. Masry. A Comprehensive Evaluation of the Spatial Accuracy of Building Gaussian Splatting. ISPRS Annals, XXV ISPRS Congress / 47th Canadian Symposium on Remote Sensing, Toronto, Canada, 2026.
  • A. Abdelghany, D. Lichti, P. Dawson, S. Jabari. Evaluating iPhone-based 3D-Scanning Applications for Heritage Documentation: Controlled Experiments and Future Directions. ISPRS Archives, XXV ISPRS Congress / 47th Canadian Symposium on Remote Sensing, Toronto, Canada, 2026.
  • F. Soleimani, S. P. Soofbaf, T. Moore, S. Jabari. Towards Roof Material Identification by Fusing Aerial and Street View Imagery. ISPRS Archives, XXV ISPRS Congress / 47th Canadian Symposium on Remote Sensing, Toronto, Canada, 2026.
  • C. Richardson, S. Jabari, L. Delong, D. Crouse, T. Moore, D. Lichti. Evaluating Comparative Performance of 2D and 3D Window Detection Models for Building Digital Twins. XXV ISPRS Congress / 47th Canadian Symposium on Remote Sensing (presentation only), Toronto, Canada, 2026.
  • M. Rahimi Azghadi, A. Azimyzadeh, J. Mundee, K. Wilcox, S. Jabari, S. Bateman, I. Church, H. Cao. Towards a Scalable Digital Twin Framework Architecture for Port Resilience: Leveraging IoT, Edge AI, and Data-Driven Streaming for Seamless Operations. 2026 IEEE 5th International Conference on Intelligent Reality, 2026.
  • S. Jabari, F. Nayko, D. Lichti, S. Morrison, S. Whitters, L. Kennedy, M. Masry. Mobile LiDAR Data and Imagery for Digital Twin Generation. 3DGeoInfo, Tokyo, Japan, 2025.
  • C. Richardson, A. T. Sullivan, F. B. Berube, S. Jabari, T. Moore. Towards Urban Heat Loss Modeling Using Building Digital Twin. CSRS 2025, Lethbridge, Canada, 2025.
  • F. Soleimani, S. Jabari. Roof Geometrical Component Extraction Using Bimodal Data and Graph Neural Network. Geospatial Week, Dubai, 2025.
  • A. Reid, S. Jabari, H. McGrath. A Cost-Effective Method for Collecting Geometric Data on Flood-Relevant Building Attributes for Model Training. Canadian Symposium of Remote Sensing, Halifax, Canada, 2024.
  • F. Soleimani, S. Jabari. Multimodal Multitask Semantic Segmentation for 3D Wireframe Modeling of Buildings. ISPRS Archives, Canadian Symposium of Remote Sensing, Halifax, Canada, 2024.
  • H. Amini, S. Jabari, H. McGrath, M. Sokolov. Super-Resolution Flood Mapping using ESRGAN in Memramcook, New Brunswick, Canada. ISPRS Archives, Canadian Symposium of Remote Sensing, Halifax, Canada, 2024.
  • S. McNally, A. Nielsen, A. Barrieau, S. Jabari. Evaluating Current Methods and Enhancing Images to Improve Damage Detection from Off-Nadir Satellite Imagery. ISPRS Archives, Canadian Symposium of Remote Sensing, Halifax, Canada, 2024.
  • J. Leahy, S. Jabari. Enhancing Aerial Camera-LiDAR Registration through Combined LiDAR Feature Layers and Graph Neural Networks. CSRS, Halifax, 2024. (Second best student award.)
  • S. McNally, A. Nielsen, A. Barrieau, S. Jabari. Improving Off-Nadir Deep Learning-Based Change and Damage Detection through Radiometric Enhancement. CSRS, Halifax, 2024.
  • F. Soleimani, S. Jabari. Reconstruction of Building LoD2 Wireframe Models Using Semantic Segmentation. CSRS, Halifax, 2024. (Shortlisted for top ten student award.)
  • F. Soleimani, S. Jabari. Multimodal Building Footprint Extraction from Orthophotos and Lidar Point Clouds Using Deep Learning Framework. IEEE IGARSS, Athens, 2024.
  • C. Tello, S. Jabari, L. Waugh, M. Masry, J. McGinn. Improving Crack Detection on Concrete Structures Using Real-World Data Augmentation for Deep Learning Convolutional Neural Networks. Canadian Society of Civil Engineering Annual Conference, Moncton, 2023.
  • P. Chase, K. H. Clark, A. J. Hawkes, J. Jakus, S. Jabari. Apple iPhone 13 Pro Lidar Accuracy Assessment for Engineering Applications. Transforming Construction with Reality Capture Technologies: The Digital Reality of Tomorrow, Fredericton, 2022.
  • H. McGrath, S. Jabari. Current Limitations and Emerging Trends in Real-Time Mapping of Natural Disasters and the Emergence of Disaster Dashboards for Communicating Risk. Proceedings of IGARSS 2021, Brussels, 2021.
  • M. Esfandiari, G. Abdi, S. Jabari, V. Prabhath Lolla. Building Change Detection in Off-Nadir Images Using Deep Learning. Proceedings of IGARSS 2021, Brussels, 2021.
  • G. Abdi, M. Esfandiari, S. Jabari. Building Damage Detection in Post-Event High-Resolution Imagery Using Deep Transfer Learning. Proceedings of IGARSS 2021, Brussels, 2021.
  • S. Baghermanesh, S. Jabari, H. McGrath. Urban Flood Detection Using Sentinel1-A Images. Proceedings of IGARSS 2021, Brussels, 2021.
  • M. Esfandiari, S. Jabari, H. McGrath, D. Coleman. Flood Mapping Using Random Forest and Identifying the Essential Conditioning Factors; A Case Study in Fredericton, New Brunswick, Canada. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2020.
  • S. Jabari. Application of Off-Nadir Satellite Imagery in Earthquake Damage Assessment. Gi4DM, Prague, Czech Republic, September 3-6, 2019.
  • S. Jabari, F. Fathollahi, Y. Zhang. Application of Sensor Fusion to Improve UAV Image Classification. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. 42, no. 2W6, 2017.
  • S. Jabari, Y. Zhang. Building Change Detection Using Multi-Sensor and Multi-View-Angle Imagery. IOP Conference Series: Earth and Environmental Science, vol. 34, no. 1, 2016.
  • S. Jabari, Y. Zhang, A. Suliman. Stereo-Based Building Detection in Very High-Resolution Satellite Imagery Using IHS Color System. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec City, Canada, 2014.
  • S. Jabari, Y. Zhang. Building Detection in Very High-Resolution Satellite Image Using IHS Model. ASPRS Conference, Louisville, Kentucky, 2014.
  • S. Jabari, Y. Zhang. Stereo Based Very High-Resolution Satellite Image Classification Using RPCs. ASPRS Conference, Louisville, Kentucky, 2014.
  • S. Jabari, M. Saradjian. Affected Area Detection Using Intelligent Algorithms and IRS Images. Integrated Disaster Management Conference, University of Tehran, Tehran, Iran, 2008.
  • S. Jabari, M. Saradjian. Fuzzy Combination of Image Algebra Change Detection and Fuzzy Post Classification Comparison. Map Asia 2008 Conference, Kuala Lumpur, Malaysia, 2008.
  • S. Jabari, M. Saradjian. Fuzzy Road Tracking in Satellite Images with Kalman Filtering. ISG2008 Conference, Kuala Lumpur, Malaysia, 2008.
  • S. Jabari. Comparison of Classification of Satellite Images with Neural Networks and Neuro-Fuzzy Systems. Geomatics Conference 87, National Cartographic Center, Tehran, Iran, 2008.
  • M. Shirzaie, S. Jabari, M. Zolfaghari. Correction of Cycle Slip in GPS Observations Using Wavelet Transformation and Polynomials. 10th Conference of Civil Engineering, Tehran, Iran, 2003.

Other Academic Presentations

  • I. Church, K. Wilcox, P. Kennedy, S. Jabari, C. Hung, S. Bateman. The Maritime Digital Twin Project: Leveraging S-100 and AI for Decision Support in the Port of Saint John. Canadian Hydrographic Conference, 2026.
  • H. Amini, S. Jabari, H. McGrath, M. Sokolov, O. Nasir. Flood Projection in Support of Dike Structure Improvements in New Brunswick, Canada. Gi4DM 2024, Belem, Brazil.
  • S. Jabari. Research presentation, University of Calgary, Urban Digital Twins to Combat Climate Change, 2024, Calgary, Canada.
  • S. Jabari. Research presentation, York University, Climate Change Action: How Can Digital Twins Help Us?, 2024, Toronto, Canada.
  • S. Jabari, H. McGrath. Urban Digital Twins for Climate Resilience: A Review of Generation, Data Challenges, and Climate-Responsive Applications. GeoInformatics, 2024, Toronto, Canada.
  • S. Jabari. UNB-NRC speaker series, Climate Change: What Can Digital Twins Tell Us?, 2022.
  • F. Soleimani, S. Jabari, G. Abdi. Large Scale Deep Building Roof Types Recognition Based on Deep Transfer Learning Using High-Resolution Ortho-Imagery. CSRS, Quebec City, 2022.
  • S. Jabari. Geospatial Information for Disaster Management What Is Up? Canakkale Onsekiz Mart Universitesi, Turkey (online presentation), 2021.
  • S. Jabari. 3D City Models: Applications in Disaster Management. Fall for Geomatics 2021 (online presentation).
  • B. M. Tettey-Asare, M. Esfandiari, S. Jabari. Flood Damage Assessment Using 3D City Models; A Case Study in Fredericton, New Brunswick, Canada. CSRS 2021.
  • M. Rezaee, S. Jabari, Y. Zhang. Change Detection in Off-Nadir Satellite Images Using a Hybrid CNN Network. ISPRS Workshop on Modelling and Managing Geospatial Data, Fredericton, NB, June 4-6, 2019.
  • S. Jabari, M. Rezaee, M. Dombrowski, Y. Zhang. Earthquake Damage Assessment Using Textural and Information Analysis. ISPRS Workshop on Modelling and Managing Geospatial Data, Fredericton, NB, June 4-6, 2019.
  • S. Turner, S. Jabari, Y. Zhang. SRTM Assisted, Piecewise Epipolar Model for Conjugate Matching of Satellite Imagery. ASPRS ISPRS Workshop on Modelling and Managing Geospatial Data, Fredericton, NB, June 4-6, 2019.
  • S. Turner, S. Jabari, Y. Zhang. Semi-Uncontrolled Relative Bias Compensation of RPCs Using SRTM. ISPRS Workshop on Modelling and Managing Geospatial Data, Fredericton, NB, June 4-6, 2019.
  • S. Jabari. Urban Change Detection Utilizing Multi-Platform and Multi-Viewing-Angle High Resolution Optical Images. Invited speaker, UNB-GGE lecture series, 2017.
  • F. Fathollahi, Y. Zhang, S. Jabari, M. Rezaee. Improving the Colour Distortion of the Hyperspectral Pan-Sharpening by Incorporating More Spectral Bands. ASPRS Conference 2017, Baltimore, United States, 2017.
  • S. Jabari, F. Fathollahi, A. Roshan, Y. Zhang. Improving UAV Imaging Quality by Sensor Fusion. Geomatics Atlantic Conference, 2016.

Intellectual Property

  • S. Jabari, Y. Zhang. Methods and System for Registration of Remote Sensing Images, US Patent 10,325,370 (Filed May 31, 2016).