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

Abstract

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)
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)978-1-6654-7078-0
ISBN (Print)978-1-6654-7079-7
DOIs
Publication statusPublished - 2022
Event2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics) - Quebec City, Canada
Duration: 11 Jul 202214 Jul 2022
Conference number: 10th

Conference

Conference2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics)
Country/TerritoryCanada
CityQuebec City
Period11/07/2214/07/22

Keywords

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

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