Landsat-Reflectance-Data-On-the-Fly-and-at-Your-Fingertips

2024 NASA Space Apps Challenge

Overview

Landsat Reflectance Data: On the Fly and at Your Fingertips is a web-based application that enables users to compare ground-based spectral measurements with Landsat Surface Reflectance (SR) data. Users can define a target location, receive notifications about Landsat overpasses, and access corresponding SR data for validation and research purposes.

Features

• Define Target Location: Users can specify their location via latitude/longitude, place name, or map click.
• Landsat Overpass Notifications: Get alerts when Landsat 8 or 9 passes over the selected location.
• Access and Display Landsat Data: Retrieve and visualize spectral reflectance values from NASA’s Earthdata API.
• Cloud Coverage and Scene Metadata: Select images based on cloud cover percentage and view metadata such as acquisition time, path, and row.
• Spectral Signature Visualization: Compare Landsat data with ground-based measurements using interactive charts.
• Downloadable Data: Export retrieved SR data in CSV format.

Tech Stack

Frontend

• HTML, CSS, JavaScript: Core web technologies for UI development.
• Leaflet.js: Interactive maps for location selection.
• Chart.js: Graphs and visualizations for spectral data.
• Bootstrap: Responsive and mobile-friendly design.

Backend

• Node.js & Express.js: Server-side logic and API handling.
• SQLite/MySQL: Database for storing user locations and overpass schedules.
• NASA Earthdata API: Fetching Landsat SR data.
• Nodemailer: Sending email notifications for upcoming overpasses.
• Axios: Handling API requests.

Data Sources

• NASA Landsat Data: Primary data for SR measurements.
• OpenStreetMap API: For map base layers and location selection.

Installation

Prerequisites

Ensure you have Node.js and npm installed.

Steps

1. Clone the Repository

   git clone https://github.com/ABINSABUPHILIP/Landsat-Reflectance-Data.git
   cd Landsat-Reflectance-Data

2. Install Dependencies

   npm install

3. Set Up Environment Variables Create a .env file and add:

   NASA_API_KEY=your_nasa_api_key
   PORT=3000

4. Run the Application

   node server.js

   The server should now be running at http://localhost:3000/.

Usage

1. Open the application in your browser.
2. Select a target location on the map or enter latitude/longitude.
3. Choose cloud cover preferences.
4. Get notified about Landsat overpasses.
5. Retrieve and visualize SR data.
6. Download the data for analysis.

API Routes

• POST /api/add-location: Stores user input and preferences.
• GET /api/get-landsat-data: Fetches SR data from NASA API.

Future Enhancements

• Integration with Sentinel-2 data
• Machine learning-based cloud filtering
• Offline mode for cached data access
• AI models for optimal ground measurement predictions
• Automated cloud filtering for enhanced accuracy
• Notifications via email or SMS for overpass alerts

Notifications and Scheduling

• Cron jobs will be used in Node.js to check for upcoming overpasses and notify users in advance.

License

This project is licensed under the MIT License.

Contributors

• Abin SabuPhilip (@ABINSABUPHILIP)

Acknowledgments

This project uses NASA’s Earthdata API and Landsat satellite imagery.