The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XL-5/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W3, 145–152, 2013
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W3, 145–152, 2013
07 Jan 2014
07 Jan 2014


L. Barazzetti1, M. Scaioni2, T. Feng2, G. Qiao2, P. Lu2, X. Tong2, and R. Li3 L. Barazzetti et al.
  • 1Politecnico di Milano, Dept. of Architecture, Built Environment and Construction Engineering (ABC), via M. d'Oggiono 18/a, 23900 Lecco, Italy
  • 2Tongji University, College of Surveying and Geo-Informatics Center for Spatial Information Science and Sustainable Development Applications 1239 Siping Road, 200092 Shanghai, China
  • 3The Ohio State University, Mapping and GIS Lab 470 Hitchcock Hall, 2070 Neil Avenue, Columbus, OH 43210-1275, USA

Keywords: Hydrogeology, Image Metrology, Modeling, Photogrammetry, Risk Assessment, Simulations

Abstract. The construction of scaled-down simulation platforms is largely used to support investigations for the assessment of hydrological risk. Achieved outcomes can be integrated and assimilated to numerical analyses for the study of unstable slope collapse, debris transport, and hydrological modeling in general. During design of such simulation platforms, a relevant role has to be given to the spatial sensor network (SSN) to deploy, which is in charge of collecting geo-referenced, quantitative information during experiments. Photogrammetry (including 3D imaging sensors) can play an important role in SSN owing to its capability of collecting 2D images and 3D point clouds data covering wide surfaces without any contact. Different kinds of metric measurements can be then extracted from datasets. The aim of this paper is to give an overview and some examples on the potential of photogrammetry in hydrogeological experiments. After a general introduction on a few preliminary issues (sensors, calibration, ground reference, usage of imaging or ranging sensors), potential applications are classified into 2D and 3D categories. Examples are focused on a scaled-down landslide simulation platform developed at Tongji University (Shanghai, P. R. China).