Earth Observation & Geospatial Analytics | 地球観測と空間解析

This repository provides a comprehensive toolkit for remote sensing and geospatial analysis using Python. Perfect for Earth observation scientists, environmental analysts, and remote sensing enthusiasts exploring satellite imagery.

Two foundational notebooks demonstrating remote sensing techniques:

1. Exploring Raster Data

   • Spatial analytics fundamentals
   • Pattern recognition
   • Data visualization techniques
   • 

2. Satellite Data Analysis

   • Image processing
   • Feature extraction
   • Classification workflows
   • 

• Core Libraries: NumPy, OpenCV, scikit-image
• Machine Learning: scikit-learn, TensorFlow
• Visualization: Matplotlib, Seaborn
• Geospatial: GDAL, Rasterio

# Clone repository git clone https://github.com/yourusername/remote-sensing # Install dependencies pip install -r requirements.txt # Launch Jupyter jupyter notebook

さようなら - Happy Earth Observation! 🛰️