To ensure the best results when conducting aerial photogrammetry for orthophotomapping, follow these guidelines:

1. **Geotagging:** Ensure that all photographs are geotagged, which means they have location metadata embedded.

2. **Altitude Consistency:** Maintain a constant altitude while capturing the images.

3. **Camera Orientation:** Position your camera so that it points directly downwards towards the ground, also known as a nadir direction.

4. **Consistent Camera Usage:** Use the same camera to capture all the photos in order to maintain consistency in image quality and camera calibration.

5. **Lighting Consistency:** The lighting conditions should remain consistent throughout the photo capture process. Avoid flying in weather conditions where the sun is intermittently obscured by clouds.

6. **Sufficient Overlap:** For relatively easy terrain, ensure at least 75% frontal and 70% side overlap between photos. For more difficult terrain, aim for a minimum of 75% frontal and 85% side overlap. For multispectral cameras 85% frontal and 80% side overlap are recommended.

7. **Image Clarity:** All images should be sharp and clear. Avoid blurry photos.

8. **Minimize Sun Glare:** Try to avoid significant sun reflections in your photos. When it's sunny, it's best to fly when the sun is situated at more than half of your camera lens's angle from the nadir. For example, if the lens angle is 60 degrees, the sun should be more than 30 degrees from the nadir (in simple words the length of a human's shadow have to be more than half a human's height). This typically means avoiding flights around noon when the sun is overhead.

9. **Flight Speed:** Avoid flying too quickly. A speed of 3-5 meters per second is generally recommended.

10. **Avoid Windy Conditions:** Do not fly in strong or gusty wind conditions, as these can affect the stability of your drone and the quality of your photos.

11. **Homogeneous Imagery:** Finally, be aware that areas lacking distinct features, such as single-crop fields, bodies of water, or snow-covered landscapes, can be problematic for orthophotomapping. This is due to the difficulty in identifying unique points for accurate image alignment.


12.  **Number of photos in the photoset:** If the photoset contains only a few images (under 20 collection points), the resulting orthophoto might be of lower quality. This observation is also relevant when uploading images from collection points that are aligned in a single row.