Faculty profile
Baoxin Hu
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Research
Latest papers
Enhanced Prediction of Soil Carbon via Encoder-Decoder Neural Networks for a Boreal Study Area in Northern Ontario.
Sensors (Basel, Switzerland) · 2025 · senior author
An Advanced Data Fusion Method to Improve Wetland Classification Using Multi-Source Remotely Sensed Data.
Sensors (Basel, Switzerland) · 2022 · senior author
Individual Tree Crown Delineation Using Multispectral LiDAR Data.
Sensors (Basel, Switzerland) · 2019
Latest funding
- $212,464
An AI-driven approach that incorporates Two-Eyed Seeing to the accurate quantification of forest vegetation and integrity for nature-based climate solutions
NSERC · 2024 · Principal investigator
- $120,000
Smart deep learning by incorporating remote sensing domain knowledge in vegetation characterization
NSERC · 2021 · Principal investigator
- $49,500
Improving the characterization of permafrost using polarimetric SAR interferometry (pol-inSAR)
NSERC · 2017 · Principal investigator
3 publications.
Enhanced Prediction of Soil Carbon via Encoder-Decoder Neural Networks for a Boreal Study Area in Northern Ontario.
Pittman R, Hu B
An Advanced Data Fusion Method to Improve Wetland Classification Using Multi-Source Remotely Sensed Data.
Judah A, Hu B
Individual Tree Crown Delineation Using Multispectral LiDAR Data.
Naveed F, Hu B, Wang J, Hall GB
An AI-driven approach that incorporates Two-Eyed Seeing to the accurate quantification of forest vegetation and integrity for nature-based climate solutions
Principal investigators: Hu, Baoxin B
Keywords: artificial intelligence; forest integrity; forest recovery; individual tree based; nature-based climate solutions; remote sensing; understory mapping
Smart deep learning by incorporating remote sensing domain knowledge in vegetation characterization
Principal investigators: Hu, Baoxin
Keywords: deep learning; domain knowledge; vegetation characterization; remote sensing; synergy; canopy modelling; data analysis and interpretation; neutrosophic logic
Improving the characterization of permafrost using polarimetric SAR interferometry (pol-inSAR)
Principal investigators: Hu, Baoxin
A GIS-based system for assessing emerald ash borer infestation
Principal investigators: Hu, Baoxin
Development of innovative fusion strategies and methods to improve vegetation characterization from multi-sensor remotely sensed data
Principal investigators: Hu, Baoxin
Automatic identification and extraction of forest roads using advanced remote sensing techniques
Principal investigators: Hu, Baoxin
A framework for early detection of the Emerald Ash Borer using advanced geospatial technologies
Principal investigators: Hu, Baoxin
Conceptual design of real-time multi-sensor positioning and safety monitoring for bulk material transportation system
Principal investigators: Hu, Baoxin
Development of Autonomous Navigation Capabilities for Unmanned Ground Vehicle
Principal investigators: Zhu, ZhengHong(George)
Improving vegetation characterization using advanced remote sensing technologies
Principal investigators: Hu, Baoxin
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
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