Blog

This blog showcases a selection of end-to-end geospatial and mapping projects I have executed, spanning work in urban planning, environmental compliance, and spatial data automation.

Liberia REDD+ (Reducing Emissions from Deforestation and Forest Degradation) Project

05/08/2025

Delivered forest cover benchmark maps and jurisdictional deforestation risk models adopted by Liberia's Forestry Development Authority and partner NGOs for REDD+ planning and reporting. These products supported Verified Carbon Unit (VCU) estimation under Verra's VM0048 and VT0007 methodologies, directly contributing to international carbon...

GIS-Based Flood Risk Mapping for the Greater Toronto Area

26/04/2025

Project Area - Greater Toronto AreaSoftwares used - ArcGIS Pro, PostgreSQL, RStudio The project was published as a web application built with RStudio's Shiny and Leaflet packages, accessible at the provided link.

LiDAR Point Clouds and Tree Species classification using a state-of-the-art 3D Point Cloud Transformer (3DPCT) deep learning architecture

18/01/2024

Master's Major Research Project – University of Waterloo Supervisor: Dr. Jonathan LiPlatforms and tools: PDAL for LiDAR preprocessing, Python (PyTorch) for deep learning implementation

Object Based Image Classification for Sentinel 2 Imagery using Machine Learning

25/05/2023

(Conference presentation at Canadian Symposium of Remote Sensing 2023)

CAD-GIS Integration using AutoCAD Map 3D

01/07/2022

During my tenure as a GIS Technician, I contributed to several municipal and site-level planning projects using AutoCAD Map 3D. These projects involved transforming engineering and survey data into clean, geospatially accurate base maps and visual products used for decision-making, stakeholder engagement, and permitting support.