This repository showcases my experience with Geographic Information Systems (GIS) and remote sensing technologies across various domains, including forestry, agriculture, land use planning, natural hazard assessment, and environmental risk management.
- Study Location Mapping
- Random Forest Classification in Google Earth Engine
- Supervised Land Classification using QGIS Maximum Likelihood Classifier Algorithm
- Burn Severity Assessment
- 3D Forest Height Assessment using R
- Aboveground Biomass Density Estimation using Sentinel 1, Sentinel 2 and GEDI LiDAR
- Drought Assessment using High Resolution Satelite Imagery
- Vegetative Index Classification of Unmanned Aerial Vehicle (UAV)-Captured Imagery
- GIS Microcredential Capstone Projects, Seneca Polytechnic, Canada
NB: Please click on each project to explore detailed information or refer to Project files
- Software: QGIS, ArcGIS Pro, ArcGIS Online, ArcView, Survey 123, StoryMaps
- Programming: R, Python, Google Earth Engine
- Remote Sensing: NASA Earth Data, GEDI LiDAR, MODIS NDVI, GIOVANNI, Google Earth Engine Catalog
- UAV Imagery Acquisition & Processing: Drone2Map, WebODM, QGround Control