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...

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Bibliografiska uppgifter
Huvudupphovsmän: Mateo Gašparović, Dino Dobrinić
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2020-06-01
Serie:Remote Sensing
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Länkar:https://www.mdpi.com/2072-4292/12/12/1952