Volume XLII-2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 759-766, 2018
https://doi.org/10.5194/isprs-archives-XLII-2-759-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 759-766, 2018
https://doi.org/10.5194/isprs-archives-XLII-2-759-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 May 2018

30 May 2018

MONITORING CORAL GROWTH – THE DICHOTOMY BETWEEN UNDERWATER PHOTOGRAMMETRY AND GEODETIC CONTROL NETWORK

F. Neyer1,2, E. Nocerino1,3, and A. Gruen1 F. Neyer et al.
  • 1Institute of Theoretical Physics, ETH Zurich, 8093 Zurich, Switzerland
  • 2Institute of Geodesy and Photogrammetry, ETH Zurich, 8093 Zurich, Switzerland
  • 3LSIS, I&M Team, Aix-Marseille Universite, Polytech Luminy, 13288 Marseille, France

Keywords: Underwater Geodetic Network, Photogrammetry, Underwater 3D Model, Coral Growth Monitoring, Change Detection, Deformation Analysis

Abstract. Creating 3-dimensional (3D) models of underwater scenes has become a common approach for monitoring coral reef changes and its structural complexity. Also in underwater archeology, 3D models are often created using underwater optical imagery. In this paper, we focus on the aspect of detecting small changes in the coral reef using a multi-temporal photogrammetric modelling approach, which requires a high quality control network. We show that the quality of a good geodetic network limits the direct change detection, i.e., without any further registration process. As the photogrammetric accuracy is expected to exceed the geodetic network accuracy by at least one order of magnitude, we suggest to do a fine registration based on a number of signalized points. This work is part of the Moorea Island Digital Ecosystem Avatar (IDEA) project that has been initiated in 2013 by a group of international researchers (https://mooreaidea.ethz.ch/).