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...
| Κύριοι συγγραφείς: | , |
|---|---|
| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
MDPI AG
2020-06-01
|
| Σειρά: | Remote Sensing |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/2072-4292/12/12/1952 |