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, Volume 30, Issue 4, pp 1287–1301 | Cite as

Dense Canopy Height Model from a low-cost photogrammetric platform and LiDAR data

  • Mónica Herrero-HuertaEmail author
  • Beatriz Felipe-García
  • Soledad Belmar-Lizarán
  • David Hernández-López
  • Pablo Rodríguez-Gonzálvez
  • Diego González-Aguilera
Original Article

Abstract

Key message

Low-cost methodology to obtain CHMs integrating terrain data from LiDAR into photogrammetric point clouds with greater spatial, radiometric and temporal resolution due to a correction model.

Abstract

This study focuses on developing a methodology to generate a Dense Canopy Height Model based on the registration of point clouds from LiDAR open data and the photogrammetric output from a low-cost flight. To minimise georeferencing errors from dataset registration, terrain data from LiDAR were refined to be included in the photogrammetric point cloud through a correction model supported by a statistical analysis of heights. As a result, a fusion point cloud was obtained, which applies LiDAR to characterize the terrain in areas with high vegetation and utilizes the greater spatial, radiometric and temporal resolution of photogrammetry. The obtained results have been successfully validated: the accuracy of the fusion cloud is statistically consistent with the accuracies of both clouds based on the principles of classical photogrammetry and LiDAR processing. The resulting point cloud, through a radiometric and geometric segmentation process, allows a Dense Canopy Height Model to be obtained.

Keywords

Dense Canopy Height Model Photogrammetry LiDAR Data fusion Low-cost platform Radiometric segmentation 

Notes

Acknowledgments

This research arose as a pilot project in collaboration with the Public Land and Natural Spaces Service, belonging to the Peripheral Services of the Agricultural Commission of the Regional Government of Castilla-La Mancha; the Institute for Development of the University of Castilla-La Mancha; the Forestry and Natural Spaces Service; the Agriculture, Environment and Rural Development Department of the Castilla-La Mancha Regional Government; and the USAL research group Geomatic Technologies for the 3D digitalisation and modelling of complex objects (TIDOP).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Mónica Herrero-Huerta
    • 1
    Email author
  • Beatriz Felipe-García
    • 2
  • Soledad Belmar-Lizarán
    • 3
  • David Hernández-López
    • 3
  • Pablo Rodríguez-Gonzálvez
    • 1
  • Diego González-Aguilera
    • 1
  1. 1.Department of Cartographic and Land Engineering, Higher Polytechnic School of AvilaUniversity of SalamancaÁvilaSpain
  2. 2.Forestry and Natural Spaces Service, Agriculture, Environment and Rural Development DepartmentCastilla-La Mancha Regional GovernmentAlbaceteSpain
  3. 3.Institute for Regional Development (IDR)University of Castilla La ManchaAlbaceteSpain

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