Surveying and mapping with photogrammetry in Drone Programming - Mini Project: Build & Apply

Surveying and Mapping with Photogrammetry

📖 Scenario: You are working with a drone to survey a small area for mapping purposes. The drone takes photos at specific GPS coordinates. You want to organize these photos and prepare data for photogrammetry processing.

🎯 Goal: Create a program that stores GPS coordinates with photo IDs, sets a minimum number of photos required for mapping, filters the photos that meet this requirement, and finally prints the list of valid photo IDs for photogrammetry.

📋 What You'll Learn

Create a dictionary with photo IDs as keys and GPS coordinates as values

Create a variable for the minimum number of photos required

Filter the dictionary to keep only photos with valid GPS coordinates

Print the list of valid photo IDs

💡 Why This Matters

🌍 Real World

Drones capture many photos during a survey. Organizing and filtering these photos by GPS data helps prepare accurate maps and 3D models.

💼 Career

Surveyors, GIS specialists, and drone operators use similar programming skills to automate data processing for mapping projects.

1

Create the photo data dictionary

Create a dictionary called photos with these exact entries: 'photo1': (34.05, -118.25), 'photo2': (34.06, -118.26), 'photo3': (34.07, -118.27), 'photo4': None, 'photo5': (34.08, -118.28)

Drone Programming

# Create the photos dictionary with photo IDs and GPS coordinates
# Your code here

Need a hint?

Use a dictionary with photo IDs as keys and tuples for GPS coordinates. Use None for missing coordinates.

2

Set the minimum photos required

Create a variable called min_photos and set it to 3 to represent the minimum number of photos required for mapping

Drone Programming

photos = {
    'photo1': (34.05, -118.25),
    'photo2': (34.06, -118.26),
    'photo3': (34.07, -118.27),
    'photo4': None,
    'photo5': (34.08, -118.28)
}
# Set the minimum number of photos required
# Your code here

Need a hint?

Just create a variable named min_photos and assign the number 3.

3

Filter photos with valid GPS coordinates

Create a new dictionary called valid_photos that includes only entries from photos where the GPS coordinates are not None

Drone Programming

photos = {
    'photo1': (34.05, -118.25),
    'photo2': (34.06, -118.26),
    'photo3': (34.07, -118.27),
    'photo4': None,
    'photo5': (34.08, -118.28)
}
min_photos = 3
# Create valid_photos dictionary with only photos having GPS coordinates
# Your code here

Need a hint?

Use a dictionary comprehension to keep only photos where coordinates are not None.

4

Print the list of valid photo IDs

Print the list of keys from valid_photos using print(list(valid_photos.keys()))

Drone Programming

photos = {
    'photo1': (34.05, -118.25),
    'photo2': (34.06, -118.26),
    'photo3': (34.07, -118.27),
    'photo4': None,
    'photo5': (34.08, -118.28)
}
min_photos = 3
valid_photos = {photo: coords for photo, coords in photos.items() if coords is not None}
# Print the list of valid photo IDs
# Your code here

Need a hint?

Use print(list(valid_photos.keys())) to show the photo IDs.