Metadata-Version: 2.4
Name: sentinel2-processor
Version: 1.0.2
Summary: Advanced Sentinel-2 Data Processing System for Research Applications
Home-page: https://github.com/yourusername/sentinel2-processor
Author: Your Research Team
Author-email: Priyanshi Kumari <priyanshikumari088@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/Priyuan/Geofusionai
Project-URL: Repository, https://github.com/Priyuan/Geofusionai
Project-URL: Issues, https://github.com/Priyuan/Geofusionai/issues
Project-URL: Documentation, https://github.com/Priyuan/Geofusionai#readme
Keywords: sentinel2,satellite,remote-sensing,gis,geospatial,python,research
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.21.0
Requires-Dist: scipy>=1.7.0
Requires-Dist: scikit-learn>=0.24.0
Requires-Dist: matplotlib>=3.4.0
Requires-Dist: pillow>=8.0.0
Dynamic: author
Dynamic: home-page
Dynamic: requires-python

# sentinel2-processor

Advanced Sentinel-2 Data Processing System for Research Applications

## Installation

pip install sentinel2-processor

## Quick Start

from geofusionai import QuantumAnomalyDetector, LandscapeAnalyzer

detector = QuantumAnomalyDetector()
detector.fit(your_data)
anomalies = detector.detect()

analyzer = LandscapeAnalyzer()
description = analyzer.analyze(your_data)
print(description)

## Features

- Complete Sentinel-2 Processing with all 13 bands
- Quantum-Inspired Anomaly Detection
- Multi-Sensor Fusion
- AI-Powered Landscape Analysis
- 4D Spatiotemporal Visualization
- Vegetation Indices: NDVI, EVI, NDWI, SAVI, NDMI, LAI
- Quality Assessment and Spectral Analysis

## Links

PyPI: https://pypi.org/project/sentinel2-processor
GitHub: https://github.com/Priyuan/Geofusionai

## License

MIT License
