Geospatial Data Scientist • GeoAI • Remote Sensing & GIS

Hello! I'm a geospatial data scientist specializing in applying machine learning and deep learning techniques to earth observation data for environmental and agricultural applications.

• 🎓 PhD in Sustainable Development and Climate Change ( On Going ) — IUSS PAVIA | IUSS - Istituto Universitario di Studi Superiori
• 🎓 M.S. in Remote Sensing & GIS — Asian Institute of Technology (AIT)
• 💼 Geospatial Data Scientist — Thaicom Public Company Limited
• 🧠 Focus: Remote sensing analytics, deep learning for crop & land-cover classification, spatio-temporal ML workflows

📌 In January 2025, I successfully defended my Master’s thesis, titled:

“In-Season Resilient Land Cover and Crop Feature Extraction and Classification”

This work explored advanced convolutional neural networks (1D, 2D, 3D CNNs) with customized Day-Of-Year input modules to improve seasonal classification of land cover and crop types, and conducted detailed analysis of model behavior across temporal and spectral settings.:contentReference[oaicite:3]{index=3}

My research integrates AI with geospatial science to extract robust features from satellite time-series and supports generalizable models across different geographic regions.

• Landslide Detection
  Deep learning pipeline for classification of Landslide detection.

🔗 https://www.linkedin.com/pulse/landslide4sense-landslide-detection-using-deep-zaw-thu-htet-toby-/?trackingId=ZKM8m0noTbiZAf2gZUCICQ%3D%3D

• Geospatial ML Workflows & Tools
  Distributed Processing for Remote Sensing Image processing

🔗 https://medium.com/@tobyzawthuhtet/accelerating-remote-sensing-image-processing-using-distributed-computing-60ce91622e2d

• Raster Image processing L
  Lossy Compression of Remote Sensing images

🔗 https://medium.com/@tobyzawthuhtet/compressing-the-entire-satellite-image-in-a-rational-number-8bd24a2c9733

Geospatial & GIS

• Remote sensing data handling (optical + SAR)
• Raster/Vector processing (GDAL/Rasterio, GeoPandas)
• CRS management, reprojection, zonal statistics

Machine Learning & AI

• CNN / Deep learning for EO
• Time-series models (LSTM, 1D/3D feature extraction)
• Model evaluation & performance analysis

Tech Stack
Python • PyTorch • TensorFlow • xarray/rioxarray • AWS S3 • QGIS/ArcGIS • Git

• 🔗 LinkedIn: https://www.linkedin.com/in/zaw-thu-htet-toby/
• 🖥️ Website: https://tobyzawthuhtet.github.io/zaw-thu-htet.github.io/#contact
• ✉️ Email: tobyzawthuhtet@gmail.com

Let’s build insightful geospatial analytics that help monitor and understand our planet.