Welcome! I'm a Master's student passionate about leveraging Artificial Intelligence (AI), Geographic Information Systems (GIS), and Machine Learning (ML) to address real-world challenges in environmental conservation—especially in forest and wildlife preservation.
- 🌳 Forest monitoring using deep learning and remote sensing
- 🐘 Wildlife tracking and habitat analysis using geospatial data
- 🛰️ Satellite imagery analysis with machine learning models
- 📍 Predictive modeling of environmental change and degradation
- 🤖 Developing AI-driven tools for sustainability and conservation
- Tree Crown Detection and Height Estimation with DeepForest & MetaDino
- Using deep learning to monitor reforested areas via orthophotos and canopy height models.
- Land Use Land Cover (LULC) Change Analysis in GEE
- Temporal LULC classification using Landsat imagery (1994–2024).
- Evapotranspiration Time Series Modeling
- MODIS-based ET trend analysis for assessing ecosystem water stress.
- Programming: Python, R
- Libraries: scikit-learn, TensorFlow, PyTorch, DeepForest, Rasterio, Geopandas
- GIS & Remote Sensing: Google Earth Engine, QGIS, ArcGIS, SNAP
- Cloud & Platforms: Colab, GitHub, Jupyter, GEE Python API
- Contribute to open-source tools and datasets that support conservation work.
- Build reproducible workflows for geospatial machine learning.
- Collaborate on impactful AI-for-Good projects.
I'm always open to working on meaningful research, especially projects involving AI for conservation. If you’re working on something similar or would like to collaborate, feel free to connect!
📬 Contact: [gachanasamuel@gmail.com]
🌐 Portfolio: [Your Personal Website or LinkedIn if available]
“The Earth is what we all have in common.” – Wendell Berry