Comprehensive quality evaluation of airborne LiDAR data

Jianwei Wu, Wei Yao, Wei Chi, Xiangdong Zhao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)


As a new data source of remote sensing, airborne LiDAR data quality evaluation is of great importance. This paper focused on the comprehensive quality evaluation of airborne LiDAR data in the following aspects: data integrity, data accuracy , data density, interpretation ability of intensity and the quality of spatial data products from LiDAR data, which aimed to provide a complete reference to airborne LiDAR data quality for practical applications. For data integrity, a data void extraction method based on region growing was proposed to check the completeness of spatial distribution. Data accuracy is a key quality index for LiDAR data quality. Height offset statistics among overlapping strips were calculated to evaluate the relative accuracy. Data density is an important factor influencing the products quality from LiDAR data. The average point spacing can only demonstrate the whole density of the data, whereas the local density is much more important for specific applications. In this paper, the density distribution map is used to reflect the density variations for the whole data. Besides, interpretation ability of intensity is also used to evaluate the quality of the airborne LiDAR data. Quality of DTM was used to evaluate the LiDAR data at last.
Original languageEnglish
Title of host publicationInternational Symposium on Lidar and Radar Mapping 2011
Subtitle of host publicationTechnologies and Applications
Publication statusPublished - 7 Dec 2011
Externally publishedYes
EventInternational Symposium on Lidar and Radar Mapping 2011: Technologies and Applications - Nanjing, China
Duration: 26 May 201129 May 2011


ConferenceInternational Symposium on Lidar and Radar Mapping 2011: Technologies and Applications


  • Airborne LiDAR
  • data accuracy
  • data integrity
  • quality evaluation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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