Coastal Survey of archaeological sites using drones

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Coastal Survey of archaeological sites using drones In Poseidon s Realm XXI Underwater archaeology - interdisciplinary approaches and technical innovations Dimitrios Skarlatos, Savvidou Eleni Photogrammetric vision Lab Department of Civil Engineering and Geomatics Cyprus University of Technology

Presentation layout Introduction in mapping with drones Water refraction and limitations in coastal areas Proposed algorithm Testing against bathymetric Lidar data in ancient Amathounta site Implementation in Ag. Napa coast

Mapping with drones: Photogrammetric Products Three main products: Stereoplotting and vector plots Digital Surface Models Or Image Based 3D Modelling (IBM) Ortho Photo Mosaics Corrected from central projection Corrected from elevation distortion Color corrected mosaic Uniform scale and high detail

Orthophoto vs sketch and vector plot

Photo platforms 1/2

Mapping with drones: Wide adoption Two major advancements: Navigation automation with GPS, on multi-copters and fixed wing AUAV Strong cost reduction after wide adoption Software automation Simple Easy Fully automated 3D modelling hence more users, wider adoption of technique make one revolution!

AUAVs: Current photo platform Several names Specs UAV, AUVs Range and flying time UAS Load capacity Drones Automations

Mapping with drones Perfect tool? Seems so,, so far: Cost effective (automation) Fast acquisition and processing (auto) Accurate 3D model Versatile level of detail Adopted by non experts Provide much more visual information (orthophotomaps and textured 3D models) Support interpretation and understanding of the relationship among neighboring sites, finds, areas, in a context rich map

Initial considerations

Major problem: water refraction

Major problem: water refraction D=?

Anything below sea surface is wrong!

Solution Each image area covered with water, should be treated for refraction Either analytically or image based correction Since depth is needed for refraction correction, and we do not know it, we have to adopt an iterative process The final process should be a slight modification of standard practice (and software)

Standard algorithm Photos & Control Point import Structure from Motion Aerial Triangulation and camera selfcalibration Multi View Stereo DSM OrthoPhotograph Creation & Mosaicking Exporting

Proposed algorithm Photos & Control Point import Structure from Motion Aerial Triangulation and camera selfcalibration Multi View Stereo for PROVISIONAL DSM Individual Photo Refraction Correction using provisional DSM Rerun Aerial Triangulation with camera selfcalibration Multi View Stereo for FINAL DSM OrthoPhotograph Creation & Mosaicking Exporting

Test site: Amathus Large archaeological area, with different sites Useful to Dept. Antiquities Lidar depth data 5m grid ~0.10m depth accuracy

Underwater harbour

Initial and final contours vs Lidar contours

Iteration Mean [m] Standard deviation [m] Percentage % RMS [m] Checking against ~5500 Lidar points 0 1.07 0.92 39.5 1.41 1 0.60 0.93 15.6 1.10 2 0.46 0.74 9.1 0.87 3 0.08 0.53-1.4 0.53

Depth improvement vs depth

Ag. Napa, application site Archaeological survey New marina development area

Ag. Napa, implementation site Flights 159 photos collected over 2 flights Average flying altitude ~ 207m Aerial imagery resolution ~ 7cm Area covered ~ 1.34km 2 Ground Control Points 24 GCPs collected with GPS RTK XYZ error 3.7cm, 3.7cm, 5.9cm Total error 7.9cm/1.05 pix

Bathymetric correction

Details

Final map to Dept. of Antiquities

Conclusions The proposed method and algorithm, performs depth correction and extraction for bathymetric contours, using aerial photos from drones Correct bathymetry improves accuracy of final orthophotomaps is shallow waters Hence, allowing seamless coastal orthophotomaps land and sea of up to 13m depth Therefore provide a unique mapping tool for surveying coastal archaeological sites BUT, still depended on sea waves and weather conditions during data capture

THANK YOU FOR YOUR ATTENTION! ACKNOWLEDGMENTS Honor Frost Foundation 2015 Grant MareLab, University of Cyprus Dept. of Antiquities, Cyprus