Improved Classification of Urban Trees Using a Widespread Multi-Temporal Aerial Image Dataset

Urban tree identification is often limited by the accessibility of remote sensing imagery but has not yet been attempted with the multi-temporal commercial aerial photography that is now widely available. In this study, trees in Detroit, Michigan, USA are identified using eight high resolution red,...

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Hlavní autoři:	Daniel S. W. Katz, Stuart A. Batterman, Shannon J. Brines
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-08-01
Edice:	Remote Sensing
Témata:	LiDAR remote sensing tree classification GEOBIA urban forests
On-line přístup:	https://www.mdpi.com/2072-4292/12/15/2475
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