Satellite Data Download Scripts

This repository contains scripts for downloading satellite data from various sources, including Sentinel-1, Sentinel-2, Sentinel-5P, and Landsat.

Table of Contents

• Introduction
• Supported Satellite Missions
• Repository Structure
• Getting Started
• Usage
• Contributing
• License

Introduction

Downloading satellite data for remote sensing applications can be a crucial step in various projects. This repository provides scripts that facilitate the download of data from different satellite missions. Whether you're working with synthetic aperture radar (SAR) data from Sentinel-1, multispectral data from Sentinel-2, atmospheric composition data from Sentinel-5P, or optical imagery from Landsat, these scripts aim to streamline the data retrieval process.

Supported Satellite Missions

• Sentinel-1: Synthetic Aperture Radar (SAR) data for earth observation.
• Sentinel-2: Multispectral imagery for land monitoring.
• Sentinel-5P: Atmospheric composition monitoring, including pollutants and greenhouse gases.
• Landsat: High-resolution optical imagery for land cover analysis.

Repository Structure

The repository is organized as follows:

• credentials.json: File containing credentials for accessing satellite data services.
• elegant-tide-219210-592108e3651a.json: Another file related to credentials setup.
• environment.yml: Environment configuration file, specifying dependencies.
• landsat.ipynb: Jupyter Notebook for Landsat data download and analysis.
• poetry.lock: Poetry lock file for Python dependency management.
• pyproject.toml: Poetry project file for managing project dependencies.
• sentinel1.ipynb: Jupyter Notebook for Sentinel-1 data download and analysis.
• sentinel2.ipynb: Jupyter Notebook for Sentinel-2 data download and analysis.
• sentinel5p.ipynb: Jupyter Notebook for Sentinel-5P data download and analysis.

Getting Started

To use the scripts in this repository, follow these steps:

git clone https://github.com/your-username/your-repository.git
cd your-repository

Explore the folders corresponding to each satellite mission and find the relevant Jupyter Notebooks for data download and analysis.

Usage

Each Jupyter Notebook provides a guide for downloading and analyzing data. Ensure you have the necessary credentials and dependencies configured before running the notebooks.

Contributing

Contributions are welcome! If you have ideas for improvements, feature requests, or bug reports, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.