This repository contains projects and insights from my AI/ML-based Geospatial Data Analysis training at Indian Institute of Remote Sensing (IIRS), ISRO. The program focused on applying machine learning and deep learning techniques to analyze remote sensing and geospatial data.
Key Learnings & Implementations: ✅ Preprocessing and visualization of geospatial datasets ✅ Training ML models for satellite image classification ✅ Google Earth Engine (GEE) for remote sensing applications ✅ Handling large-scale geospatial data with Python
Tech Stack & Tools: Languages: Python
Libraries: NumPy, Pandas, Matplotlib, TensorFlow, py-torch
Platforms: Google Earth Engine, QGIS
This repository includes code, datasets, and documentation from the training program.