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<p>Favelas (slums) are densely populated informal settlements that house over 1.1 billion people globally and represent challenging environments for spatial data acquisition and urban mapping. Their dense morphology, irregular street networks, and overlapping building structures make conventional mapping approaches difficult. These areas are often characterized by limited access to essential services such as water supply, sanitation, and waste collection, as well as insecure land tenure. Despite their scale, favelas are frequently absent from official maps, limiting their inclusion in urban planning processes. This Data Descriptor presents a terrestrial LiDAR dataset collected with five distinct devices along a standardized 360-meter survey route in Jardim Colombo, a favela in São Paulo, Brazil, covering approximately 5,685 m². The area was also surveyed using aerial photogrammetry and a total station to establish a spatial reference supporting comparison among the terrestrial LiDAR devices. A multicriteria framework evaluates device performance considering point density, completeness, spatial uniformity, and logistical constraints. These data support research in urban environments where accurate spatial representation remains a critical challenge.</p>

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Evaluation of LiDAR devices and data to conduct terrestrial surveys in favelas

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月22日

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  • Stefania Dimitrov,
  • Fabio Duarte,
  • Cezar Lima Ferreira Barbalho,
  • Silvia Maria Ferreira,
  • Carlo Ratti,
  • Angélica Aparecida Tanus Benatti Alvim

摘要

Favelas (slums) are densely populated informal settlements that house over 1.1 billion people globally and represent challenging environments for spatial data acquisition and urban mapping. Their dense morphology, irregular street networks, and overlapping building structures make conventional mapping approaches difficult. These areas are often characterized by limited access to essential services such as water supply, sanitation, and waste collection, as well as insecure land tenure. Despite their scale, favelas are frequently absent from official maps, limiting their inclusion in urban planning processes. This Data Descriptor presents a terrestrial LiDAR dataset collected with five distinct devices along a standardized 360-meter survey route in Jardim Colombo, a favela in São Paulo, Brazil, covering approximately 5,685 m². The area was also surveyed using aerial photogrammetry and a total station to establish a spatial reference supporting comparison among the terrestrial LiDAR devices. A multicriteria framework evaluates device performance considering point density, completeness, spatial uniformity, and logistical constraints. These data support research in urban environments where accurate spatial representation remains a critical challenge.