Open to Collaborations

Gunjan Barua, Ph.D.

AI in Natural Resources | Applied GeoAI Scientist | Climate Tech

I am a GeoAI and Remote Sensing Scientist with a deep interest in how machine learning and geospatial intelligence can help us understand, manage, and protect natural systems. My expertise lies at the intersection of precision forestry, remote sensing, LiDAR, and Artificial Intelligence. From advancing yield predictions in Pinus taeda to developing machine learning-based MRV systems for carbon credit marketplaces, my work utilizes advanced spatial algorithms to solve complex environmental challenges.

View the PhD dissertation in a dashboard
Photo of Gunjan Barua, Ph.D.

Recent Updates

  • Defended my PhD dissertation titled "Advancing Yield Predictions in Pinus taeda (L.): An Artificial Intelligence (AI) Approach Leveraging LiDAR-derived Individual Tree Crown (ITC) Metrics, Competition Indices (CI), and Satellite Remote Sensing Indices" at the Fralin Auditorium. Officially a doctorate! Read the update

  • Presented a poster at the OGIS Symposium based on the 2nd chapter of my dissertation, titled "Temporal Transferability Assessment of Individual Tree Volume in Pinus taeda (L.) Using Single-Date UAV-LiDAR and Machine Learning", and won the 2nd Prize!

  • My paper - 'Static Maps, Dynamic Threats: Re-evaluating U.S. Wildfire Risk with Spatiotemporal Clustering' accepted for publication at the Natural Hazards journal

  • My paper, titled 'Single-date LiDAR acquisition accurately predicts the yield of Pinus taeda (L.) over a 7-year timespan using machine learning' submitted to the Journal of Forestry Research

  • Presented my research titled 'Scalable Yield Forecasting for Loblolly Pine Plantations Using UAV-LiDAR and Machine Learning' at Remote Sensing seminar at Virginia Tech.

10 Publications
17 Awards

Education & Technical Skills

Education

🎓

Ph.D. in Geospatial and Environmental Analysis

Virginia Tech · Blacksburg, VA

Spring 2026

Dissertation: [Advancing Yield Predictions in Pinus taeda (L.): An AI Approach Leveraging LiDAR and Satellite Remote Sensing Indices](https://gunjan-phd-dissertation.streamlit.app/)

🎓

M.S. in Geography

Virginia Tech · Blacksburg, VA

Spring 2023

Thesis: Understanding perception of different urban thermal model visualizations

📜

Graduate Certificate in Geospatial Information Technology

Virginia Tech · Blacksburg, VA

2022

🎓

B.S. in Urban & Regional Planning

Khulna University of Engineering & Technology (KUET) · Bangladesh

2016

Technical Skills

🤖 Machine Learning & AI

Random Forest (RF) Support Vector Regression (SVR) Gradient Boosting (GBM) XGBoost LightGBM RNNs (LSTM / GRU) DBSCAN Clustering

🌍 Geospatial & Remote Sensing

ArcGIS Pro Google Earth Engine ENVI Pix4D DroneDeploy Cloud Compare LiDAR Processing SAR / Optical Satellite Data

💻 Programming & Tools

Python R JMP Git / GitHub Jupyter Notebooks SQL

Professional & Research Experience

May 2025 – Aug 2025

Summer Research Assistant

Forest Productivity Cooperative (FPC) & Michigan State University

Developed an automated workflow that transforms handwritten forestry field sheets into structured digital spreadsheets, eliminating manual data entry. Built a financial assistant that automatically extracts and tags key receipt details, streamlining the accounting process.

Aug 2023 – Present

Graduate Research Assistant

Virginia Tech – Department of Forest Resources and Environmental Conservation

Incorporating active and passive remote sensing (optical/SAR satellite data, airborne and terrestrial LiDAR) in AI/ML frameworks to predict Loblolly Pine (Pinus taeda) yield in the Southeast United States. Research contributes to the Forest Productivity Cooperative (FPC) and involves field data collection, point cloud processing, and model development using Python and R. Assessing the generalizability and transferability of the developed models.

May 2023 – Oct 2025

Technical Advisor

CarboBon – Measuring Forest Protection

Developed an innovative Monitoring, Reporting, and Verification (MRV) system for real-time forest surveillance using machine learning and remote sensing. Contributed to creating Bangladesh's first-ever carbon credit marketplace by transforming climate action into quantifiable science. Leading research on new AI and remote sensing methodologies, and developing an API for calculating Scope 1 and Scope 2 emissions for corporate companies.

May 2023 – Aug 2023

GIS Developer Intern

GFR Forestry Consultants PLLC

Revised and updated the company's forest and business operation dashboards, optimizing them on ArcOnline for improved efficiency and usability. Pioneered workflow automation by integrating Survey123, Microsoft Power Automate, and ArcOnline maps to streamline tasks. Improved the structure and performance of hosted layer databases in ArcOnline using the ArcGIS API for Python.

Jan 2023 – Jul 2023

Research Assistant

Virginia Tech – Department of Forest Resources & Environmental Conservation

Explored and analyzed airborne LiDAR data and satellite imagery to understand complex forest structures. Applied geospatial analysis and machine learning methods to analyze forest productivity.

May 2022 – Aug 2022

Summer Research Assistant

Virginia Tech – Department of Forest Resources & Environmental Conservation

Determined forest productivity based on bedding orientation using LiDAR data and Google Earth Engine. Produced a scalable product accompanied by a detailed protocol, along with Python and JavaScript code.

Aug 2021 – Dec 2022

Instructor, Advanced Remote Sensing

Virginia Tech – Department of Geography

Served as Instructor for Advanced Remote Sensing across three semesters (Fall 2021, Spring 2022, and Fall 2022) with a total enrollment of 232 students. Responsible for teaching and supervising lab sessions, grading assignments, consulting on class projects, holding office hours, and designing and conducting course assessments.

May 2021 – Aug 2021

Summer Research Assistant

Virginia Tech – School of Public and International Affairs

Collected and processed thermal drone data across multiple locations in Blacksburg and Roanoke, VA. Built high-resolution thermal models to analyze and understand communities’ heating experiences at a small scale.

Jan 2021 – Feb 2023

Graduate Researcher

Virginia Tech – Near Earth Imaging Lab, Department of Geography

Collected thermal data using UAVs and applied photogrammetry to build high-resolution thermal models. Developed a new thermal visualization method by combining optical satellite imagery and LiDAR data to create shaded thermal images. Conducted a perception study using PsychoPy and analyzed experimental data using Python and JMP.

Jan 2021 – Dec 2022

Graduate Teaching Assistant

Virginia Tech – Department of Geography

Supported courses including Geography of Wine (Spring 2021), Advanced Geovisualization (Spring 2022), and Advanced Analysis in GIS (Fall 2022) for over 700 combined students. Led weekly lab sessions, held office hours, graded coursework, and consulted with students on class projects.

Jun 2018 – Nov 2020

Policy Advocacy Specialist

Municipal Association of Bangladesh

Managed a $350,000 portfolio and oversaw the field implementation of project activities, facilitating capacity building for municipality staff. Maintained liaisons with the Local Government Engineering Department and key stakeholders to draft a national WASH action plan and prepare a 10-year sanitation strategy for five municipalities.

Sep 2016 – Jun 2018

Documentation Officer

Practical Action, Bangladesh

Managed a $500,000 communications portfolio, pitched advocacy agendas, and prepared comprehensive communications and campaign plans. Coordinated social mobilization, BCC campaigns, and project report writing, while producing policy briefs and data visualizations. Conducted research for policy analysis and business development.

May 2015 – Jun 2016

Freelance GIS Analyst

Elance-Odesk

Prepared maps based on spatial analysis and geospatial data, and conducted topological, hydrological, and transportation modeling. Authored research reports and conducted targeted spatial analysis for the utilities, health services, real estate, and transportation industries.

May 2015 – Jun 2015

Intern

Asian Disaster Preparedness Center

Conducted spatial analysis for a large geo-database and prepared a research report on the social vulnerability index. Drafted a comprehensive report for an earthquake research project focused on Dhaka city.

Publications, Presentations & Awards

📄 Publications

Published

Predicting yield of Pinus taeda (L.) using LiDAR data in random forest and support vector machine models

Forest Ecology and Management · 2025

Barua, G., Carter, D., Thomas, V., Green, P.C., Radtke, P., Pingel, T.J., Cook, R.L., Albaugh, T., Rubilar, R., Campoe, O., Sumnall, M.

Published

Precision Forestry: Using Artificial Intelligence and LiDAR to inform thinning in Pinus taeda plantations – a case study

Journal of Forestry · 2025

Platt, E., Carter, D., Albaugh, T.J., Cook, R.L., Campoe, O., Rubilar, R., Barua, G., Sumnall, M.J.

Published

Static Maps, Dynamic Threats: Re-evaluating U.S. Wildfire Risk with Spatiotemporal Clustering

Natural Hazards · 2025

Barua, G., Pires, M., Kim, J.

In Review

Feature-based Transfer Learning with Pretrained AlphaEarth Embeddings for Mangrove Forest Mapping in Bangladesh

Discover Forests · 2025

Islam, K.M.A., Barua, G., Rahman, M.T., Kennedy, R.

In Review

Estimating Pinus taeda (L.) Timber Volume with Multi-Temporal SAR-Optical Fusion and Supervised Learning Techniques

International Journal of Remote Sensing · 2025

Barua, G., Carter, D., Thomas, V., Green, P.C., Radtke, P., Pingel, T.J., Cook, R.L., Albaugh, T., Rubilar, R., Campoe, O., Sumnall, M.

In Review

Single-date LiDAR acquisition accurately predicts the yield of Pinus taeda (L.) over a 7-year timespan using machine learning

Journal of Forestry Research · 2025

Barua, G., Carter, D., Thomas, V., Green, P.C., Radtke, P., Pingel, T.J., Cook, R.L., Albaugh, T., Rubilar, R., Campoe, O., Sumnall, M.

Published

Urban Thermal Map Design Considerations: Color, Shading, and Resolution

Cartography and Geographic Information Science · 2023

Barua, G., Pingel, T.J., Lim, T.C.

Published

Solid Waste Management Scenario in Public University Campuses of Bangladesh: A Comparative Study between KUET and Khulna University

Waste Management and Resource Efficiency (Springer) · 2019

Roy, T.K., Ekram, K.M.M., Barua, G., Hossain, S.T., Akter, F.

Published

Land Use Characterization in Peri-Urban Areas of Khulna towards an Eco-Sustainable Metropolitan Region

Journal of Engineering Science · 2018

Ekram, K. M., Barua, G., & Uddin, M.

Published

A Conceptual Model of Reusing the Paper Wastes Generated from the Universities

International Journal of Applied Engineering Research · 2014

Barua, G., & Ekram, K. M.

🎤 Presentations

Crowns, Competition, and Continuity: A Machine Learning Approach for Annual Yield Prediction of Pinus taeda (L.) Using UAV-LiDAR Data

AGU 2025 (Poster Presentation) · New Orleans, Louisiana, United States

Predicting Yields of Pinus taeda (L.) with Open-Source Time-Series Sentinel 1 and 2 Data with Machine Learning and Neural Networks

Forest Productivity Cooperative Annual Meeting (Poster Presentation) · Chapel Hill, North Carolina, United States

Advancing Growth and Yield Predictions for Pinus taeda (L.) Plantations: Integrating LiDAR-Derived Metrics and Machine Learning Models Across Diverse Sites

ASPRS Annual Conference at Geo Week 2025 · Denver, CO, United States

Comparison and Analysis of Spatial and Spatiotemporal Clustering of Wildfires in the United States of America

2025 Young Scholar Symposium on Spatiotemporal Data Science, Spatial Data Lab · Virtual

4-Year Timber Yield Forecasts in Pinus taeda (L.) Using LiDAR-Derived Metrics and Advanced Machine Learning Models

2025 APSAF Annual Conference · Wilmington, NC, United States

Evaluating Machine Learning and Neural Networks for Yield Prediction in Pinus taeda (L.) Plantations Using Time-series Sentinel-1 and 2 Data

OGIS Symposium 2025 (Poster Presentation) · Blacksburg, VA, United States

Scalable Yield Forecasting for Loblolly Pine Plantations Using UAV-LiDAR and Machine Learning

Forest Modeling Research Cooperative (FMRC) Annual Meeting 2025 (Invited Speaker) · Blacksburg, VA, United States

Predicting yield of Pinus taeda (L.) using LiDAR data in random forest and support vector machine models

Weyerhaeuser Virtual Seminar (Invited Speaker) · Virtual

Remote Sensing in AI: Predicting yield of Pinus taeda (L.) plantations with LiDAR and Satellite Data

Blue Ridge SAF Chapter Meeting 2025 (Invited Speaker) · Blacksburg, VA, United States

Remote Sensing Meets AI: Predicting Yield in Pinus taeda (L.) Plantations with Open-Source Time-Series Satellite Data

FREC Spring Seminar · Blacksburg, VA, United States

Advancing Yield Predictions for Pinus taeda (L.) Plantations: Integrating Lidar-Derived Metrics and Machine Learning Models Across Diverse Sites

Seminar in Remote Sensing and GIS, Virginia Tech · Blacksburg, VA, United States

Predicting Urban Heat Island Effect in Phoenix, Arizona for 2026

ESRI Federal GIS Conference · Washington, D.C., United States

Bedding Orientation Impact Analysis and Tree Row Detection in Pine Plantations: Insights from Lidar, Remote Sensing, and Machine Learning

Forest Productivity Cooperative Annual Meeting 2023 (Poster Presentation) · Blacksburg, VA, United States

Guest lecture: Advanced Geovisualization class

Department of Geography, Virginia Tech · Blacksburg, VA, United States

Past, present, and future of endangered languages

Academic Panel, Virginia Tech (Session Moderator) · Blacksburg, VA, United States

Understanding perception of different urban thermal model visualizations

AutoCarto 2022 · Redlands, CA, United States

Construction and Geovisualization of 3D Thermal Models of Urban Areas

OGIS Symposium 2022 (Poster Presentation) · Blacksburg, VA, United States

Interested in attending Graduate School?

Graduate School Panel Discussion, College of Natural Resources and Environment (CNRE) (Panelist) · Blacksburg, VA, United States

Paving the enabling environment towards urban sanitation solutions: The journey of local government associations from South Asia

5th South Asian Cities Summit (Session Moderator) · Goa, India

The Treasure Hunt: An organized movement with society to turn waste into wealth

4th FSM Conference (Poster Presentation) · Chennai, India

Role of Stakeholders in Managing School Solid Wastes of Khulna City

WasteSafe 2015 – 4th International Conference on Solid Waste Management in the Developing Countries · Khulna, Bangladesh

🏆 Awards & Honors

2025

Best Student Presentation Award

APSAF Annual Conference, Wilmington, NC

2025

APSAF Student Scholarship

Appalachian Society of American Foresters (APSAF)

2025

KP Funderburke Education Endowment

Appalachian Society of American Foresters (APSAF)

2025

Department of Geography Grad Fund for Conference ($350)

Department of Geography, Virginia Tech

2025

CNRE Graduate Student Travel Grant ($600)

Virginia Tech

2025

Graduate and Professional Student Senate Travel Award ($500)

Virginia Tech

2025

Department of Geography Grad Fund for Conference ($350)

Department of Geography, Virginia Tech

2025

Graduate and Professional Student Senate Travel Award ($500)

Virginia Tech

2022

ICA Scholarship

International Cartographic Association (ICA)

2022

Sigma Xi Research Award

Sigma Xi - The Scientific Research Honor Society, Virginia Tech Chapter

2022

1st Prize for Graduate Poster Presentation

Organization of Geographic Information Systems and Remote Sensing Research (OGIS)

2022

Sidman P. Poole Endowment ($1,150)

Department of Geography, Virginia Tech

2022

Graduate and Professional Student Senate Travel Award ($300)

Virginia Tech

2022

CNRE Graduate Student Travel Grant ($600)

Virginia Tech

2022

Department of Geography Grad Fund for Conference ($350)

Department of Geography, Virginia Tech

2021

Georgia Pacific Fellowship Award

Department of Geography, Virginia Tech

2016

Technical Merit Scholarship

Khulna University of Engineering & Technology

Get in Touch

Open to research collaborations, speaking invitations, and consulting opportunities.