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.
|Title of host publication||Proceedings of the 2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics)|
|Number of pages||5|
|Publication status||Published - 2022|
|Event||2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics) - Quebec City, Canada|
Duration: 11 Jul 2022 → 14 Jul 2022
Conference number: 10th
|Conference||2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics)|
|Period||11/07/22 → 14/07/22|
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- 3D habitat mapping