ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-2/W5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 437–444, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W5-437-2019
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 437–444, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W5-437-2019

  29 May 2019

29 May 2019

DESCRIBING THE VERTICAL STRUCTURE OF INFORMAL SETTLEMENTS ON THE BASIS OF LIDAR DATA – A CASE STUDY FOR FAVELAS (SLUMS) IN SAO PAULO CITY

S. C. L. Ribeiro1,3, M. Jarzabek-Rychard2, J. P. Cintra3, and H.-G. Maas4 S. C. L. Ribeiro et al.
  • 1Urbanism Secretariat, Sao Paulo City Hall, Sao Paulo, Brazil
  • 2Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, 10623 Berlin, Germany
  • 3Polytechnic School and Paulista Museum, Sao Paulo University, Brazil
  • 4Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, 01069 Dresden, Germany

Keywords: Airborne Laser Scanning (ALS), Segmentation, Agglomerated Building, Built Area, Building Height, Typo-Morphology

Abstract. Cadastral mapping of favela’s agglomerated buildings in informal settlements at Level of Detail 1 (LoD1) usually requires specific surveys and extensive manual data processing. Therefore, there is a demand for including the favelas in the city map production on the basis of Lidar surveys, as well as the detection of their vertical growth. However, the currently developed algorithms for automatically extracting buildings from airborne Lidar data have mainly been tested only for regular building reconstruction. This study aims to develop a Lidar data processing pipeline enabling to compute metrics related to intraurban informal settlements. To do so, we present a procedure to generate favela’s buildings delineation, height, floors’ number and built area and apply them to six case studies in favela typo-morphologies. We conducted an exploratory analysis in order to obtain the adequate parameters of the processing pipeline and its evaluation, using open source, free license and self-developed software. The results are compared to reference data from the manual stereo plotting, achieving a quality index in the building reconstruction about 70%. We also calculated the growth density, measured by gross Floor Area Ratio index inside settlement, revealing values from 29% to 74% considering different time periods.