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

Conference paper (2022)

Authors

Meisam Amani Wood Environment and Infrastructure Solutions
Fatemeh Foroughnia Geo-engineering - CEG
Armin Moghimi Leibniz University Hannover
Sahel Mahdavi Wood Environment and Infrastructure Solutions
Research Group
Geo-engineering (CEG) (TU Delft)
Copyright: © 2022 Meisam Amani, Fatemeh Foroughnia, Armin Moghimi, Sahel Mahdavi
DOI
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https://doi.org/10.1109/Agro-Geoinformatics55649.2022.9859127
LiDAR Habitat 3D habitat mapping Worldview-2
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Published Date

2022

Language

English

Reuse Rights

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Engineering

Research Group

Geo-engineering

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.