Submission from Codee

README.md

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 # NASA Space Apps Challenge 2024 [Noida]
 
-#### Team Name -
-#### Problem Statement - 
-#### Team Leader Email -
+#### Team Name - Codee
+#### Problem Statement - Landsat Reflectance Data
+#### Team Leader Email -[email protected]
 
 ## A Brief of the Prototype:
-  What is your solution? and how it works.
+Our solution offers real-time access to Landsat satellite reflectance data, aimed at applications like agriculture, environmental monitoring, and urban planning. It integrates a Flask backend to process satellite data and a React frontend for visualization.
+
+How it Works:
+Data Processing: The backend processes Landsat reflectance data dynamically, preparing it for visualization.
+Visualization: The frontend displays this data on an interactive Leaflet.js map, highlighting the relevant geographical area, along with a Plotly.js graph that visualizes the reflectance values for easy analysis.
+Seamless Interaction: Users can interact with the data visually through a simple interface, making satellite data accessible for non-experts in real-time.
 
 ## Code Execution Instruction:
+Testing the Application:
+
+Open the frontend in your browser, click the "Fetch Data" button to visualize the reflectance data on the map and chart.
+
   *[If your solution is **not** application based, you can ignore this para]
 
  *The Repository must contain your **Execution Plan PDF**.

backend/app.py

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+from flask import Flask, jsonify
+from flask_cors import CORS  # Enables communication between frontend and backend
+import rasterio  # Used to read Landsat data
+import numpy as np
+
+app = Flask(__name__)
+CORS(app)
+
+@app.route('/get_landsat_data')
+def get_landsat_data():
+    # Specify the path to your Landsat image file (GeoTIFF)
+    landsat_file_path = 'path/to/your/landsat_image.tif'  # Update this path
+
+    try:
+        with rasterio.open(landsat_file_path) as src:
+            # Read the reflectance data (assuming it's in the first band)
+            reflectance_data = src.read(1)  # Read the first band
+            reflectance = reflectance_data.flatten().tolist()  # Flatten and convert to list
+
+            # Get coordinates (this is just an example, modify as needed)
+            coordinates = [src.bounds.left, src.bounds.bottom]
+
+            sample_data = {
+                'reflectance': reflectance,
+                'coordinates': coordinates
+            }
+
+            return jsonify(sample_data)
+    except Exception as e:
+        return jsonify({'error': str(e)}), 500
+
+if __name__ == '__main__':
+    app.run(debug=True)

backend/t

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+