About ASIL

ASIL — the Advanced Spatial Intelligence Lab is a research group within the Department of Geodesy and Geomatics Engineering at the University of New Brunswick in Fredericton, Canada, led by Dr. Shabnam Jabari, P.Eng. The lab brings together researchers in geomatics engineering, remote sensing, computer vision, and applied AI to study how geospatial data and intelligence can support climate resilience, urban modelling, and disaster management.

Our work spans the full pipeline of geospatial information — from sensor data acquisition (LiDAR, satellite imagery, aerial photography, mobile scanning) through machine learning and computer vision pipelines, to operational decision support for governments, partners, and communities. Active research programs include automated LoD2 and LoD3 city modelling, urban heat and flood projection analytics, building digital twins, and maritime port resilience.

ASIL collaborates extensively with Natural Resources Canada, the University of Calgary, the New Brunswick Innovation Foundation, and the Canadian Remote Sensing Society. Our students and graduates have contributed to award-winning research, including the Best Paper of CJRS 2024 and 2025, and the Second-Best Student Paper at CSRS 2024.

25+

Journal papers and major publications

Remote Sensing, ISPRS, CJRS, JSTAR

40+

HQP and student supervision engagements

PhD, MScE, postdoctoral, and directed research

$1M+

Competitive and partnered funding

NSERC, NBIF, Mitacs, NRC, UNB

10+

Active collaboration and service roles

CRSS, UN GGIM, ISDE, IEEE, ISPRS

Research
LoD2 Building Reconstruction with Geospatial AI featured image

LoD2 Building Reconstruction with Geospatial AI

Automated extraction of building roof structures and facade elements from multimodal geospatial data.

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Dr. Shabnam Jabari, Associate Professor, P.Eng
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Urban Digital Twin Platform featured image

Urban Digital Twin Platform

Integrating LiDAR and imagery to build city-scale digital twins for climate and infrastructure applications.

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Dr. Shabnam Jabari, Associate Professor, P.Eng
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Urban Heat and Flood Projection Analytics featured image

Urban Heat and Flood Projection Analytics

Digital twin and remote sensing workflows for future urban climate scenarios.

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Dr. Shabnam Jabari, Associate Professor, P.Eng
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Collaborators and Partners

Research with academic, government, and industry collaborators

ASIL works across institutions to move geospatial research into real-world decision support.

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Prospective Members

We welcome inquiries from prospective PhD, MScE, postdoctoral, and visiting researchers.

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Join ASIL

ASIL is recruiting motivated graduate students and collaborators interested in geospatial AI, urban digital twins, and climate-focused remote sensing.