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Amani, Meisam (author), Foroughnia, Fatemeh (author), Moghimi, Armin (author), Mahdavi, Sahel (author), Jin, Shuanggen (author)Progress toward habitat protection goals can effectively be performed using satellite imagery and machine-learning (ML) models at various spatial and temporal scales. In this regard, habitat types and landscape structures can be discriminated against using remote-sensing (RS) datasets. However, most existing research in three-dimensional (3D)...journal article 2023
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Amani, Meisam (author), Foroughnia, Fatemeh (author), Moghimi, Armin (author), Mahdavi, Sahel (author)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...conference paper 2022