3D Habitat Mapping Using High-Resolution Optical Satellite and Lidar Data

Meisam Amani, Fatemeh Foroughnia, Armin Moghimi, Sahel Mahdavi

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
8 Downloads (Pure)


Remote sensing datasets are great resources to map habitat types. In this study, 3D habitat maps were generated using high-resolution multispectral imagery and a LiDAR-derived digital surface model (DSM). Two study areas in the United Kingdom (UK) were selected to investigate the potential of the developed models in habitat classification. The overall classification accuracies for the two study areas were high (91% and 82%), indicating the satisfactory performance of the developed approach for habitat mapping in the study areas. Overall, it was observed that a synergy of high-resolution multi-spectral imagery and LiDAR data could provide reliable 3D information on habitat types.
Original languageEnglish
Title of host publicationProceedings of the 2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics)
Number of pages5
ISBN (Electronic)978-1-6654-7078-0
ISBN (Print)978-1-6654-7079-7
Publication statusPublished - 2022
Event2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics) - Quebec City, Canada
Duration: 11 Jul 202214 Jul 2022
Conference number: 10th


Conference2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics)
CityQuebec City

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • habitat
  • 3D habitat mapping
  • Worldview-2
  • LiDAR


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