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Articles | Volume XL-5/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W3, 51–57, 2013
https://doi.org/10.5194/isprsarchives-XL-5-W3-51-2013
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W3, 51–57, 2013
https://doi.org/10.5194/isprsarchives-XL-5-W3-51-2013
 
07 Jan 2014
07 Jan 2014

THE ACCURACY ANALYSIS OF LIDAR-DERIVED ELEVATION DATA FOR THE GEOMETRIC DESCRIPTION OF CROSS-SECTIONS OF A RIVERBED

G. Caroti1, F. Camiciottoli2, A. Piemonte1, and M. Redini3 G. Caroti et al.
  • 1Laboratorio A.S.T.R.O., Dipartimento di Ingegneria Civile e Industriale,Università di Pisa, Largo Lucio Lazzarino 1 56123 Pisa, Italy
  • 2Provincia di Arezzo, Servizio Difesa del Suolo, Via Arrigo Testa 2, 52100 Arezzo, Italy
  • 3Comune di Pisa, Italy

Keywords: DEM/DTM, LIDAR, Floods, Hydrology, Hazards

Abstract. The work stems from a joint study between the Laboratory ASTRO (Department of Civil and Industrial Engineering – University of Pisa), the municipality of Pisa and the province of Arezzo on the advanced analysis and use of digital elevation data. Besides, it is framed in the research carried on by ASTRO about the definition of the priority informative layers for emergency management in the territory, as of PRIN 2008. Specifically, this work is in continuity with other already published results concerning rigorous accuracy checks of LIDAR data and testing of the procedures to transform raw data in formats consistent with CTR and survey data. The analysis of sections of riverbed, derived from interpolation by DTMs featuring different grid density with those detected topographically, is presented. Validation by differential GNSS methodology of the DTMs used showed a good overall quality of the model for open, low-sloping areas. Analysis of the sections, however, has shown that the representation of small or high-sloping (ditches, embankments) morphological elements requires a high point density such as in laser scanner surveys, and a small mesh size of the grid. In addition, the correct representation of riverside structures is often hindered by the presence of thick vegetation and poor raw LIDAR data filtering.