Testing the Limits of Overlap in Drone Mapping

[@stephenpauljones]

exactly what I was looking into recently.. would be interesting to see the impact on a much broader and flat area. great video thanks

[@claytonhotze3826]

Very well done! This is the type of content the industry needs...

[@itsnessen]

Thanks Clayton! I appreciate the encouragement.

[@maikerrojascastro2698]

Great Video! Is a very good way for explainning how information collected in a single flight could be manipulated and how photogrammetric results are affected by overlap. Thank you very much and congratulations again. You have my suscription from now...

[@Gunnermccolie]

Super well edited Kyle! The graphs alone tell a huge story. Looks like it won't be necessary for any more 80+ percent overlap flights. Stay curious- Your drive for this type of stuff is inspiring. -Eth

[@itsnessen]

Thanks man! I've got more in the queue! Appreciate the kind words

[@javierruizdeoz6410]

Many thanks for sharing, and congratulations! Your approach is both scientific and original. Very good video👋👋👋 A next step could be to calculate dense point cloud results (a tough job) of, say, half of the clouds. Then go to meshes... This way we could better compare the results of each modelling from a end-user point of view.

[@patrickneyland3607]

Great video. Did you use Python for anymore processing or analysis?

[@kuldar.]

Your video is so informative, thank you! As a total beginner I always take too many photos that later takes a lot of effort in Agisoft to make a model. Learning how to be more efficient.

[@precision_aerial]

interesting video. Thanks for sharing

[@samecalpoly8127]

Really interesting insights here, before this I'd never heard of anyone running overlaps below 50% x 50%. This could save a lot of people a lot of time - not everyone (or even most people) need to model tree canopies in their point clouds, but a lot of people are flying like they are!

[@joaomeira4630]

Hi there, great experiment. Would you mind sharing your script? We'll try and adapt to R and explore these tests

[@wrm8460]

Very interesting. Thanks

[@lorenzogiusto3222]

Keep the frontal at 60% an lateral 40% and you'll be laughing if what you are trying to achieve is a 2d orthophoto