Comparative Assessment of Machine Learning Methods for Urban Vegetation Mapping Using Multitemporal Sentinel-1 Imagery
Mapping of green vegetation in urban areas using remote sensing techniques can be used as a tool for integrated spatial planning to deal with urban challenges. In this context, multitemporal (MT) synthetic aperture radar (SAR) data have not been equally investigated, as compared to optical satellite...
| Auteurs principaux: | , |
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| Format: | Article |
| Langue: | English |
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MDPI AG
2020-06-01
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| Collection: | Remote Sensing |
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| Accès en ligne: | https://www.mdpi.com/2072-4292/12/12/1952 |