An unsupervised two-stage clustering approach for forest structure classification based on X-band InSAR data - A case study in complex temperate forest stands

Sahra Abdullahi; Mathias Schardt; Hans Pretzsch

doi:10.1016/j.jag.2016.12.010

An unsupervised two-stage clustering approach for forest structure classification based on X-band InSAR data - A case study in complex temperate forest stands

Sahra Abdullahi, Mathias Schardt, Hans Pretzsch

Institut für Geodäsie (5220)

Publikation: Beitrag in einer Fachzeitschrift › Artikel › Begutachtung

Originalsprache	englisch
Seiten (von - bis)	36-48
Fachzeitschrift	International Journal of Applied Earth Observation and Geoinformation
Jahrgang	57
DOIs	https://doi.org/10.1016/j.jag.2016.12.010
Publikationsstatus	Veröffentlicht - 2017

Fields of Expertise

Sustainable Systems

Zugriff auf Dokument

10.1016/j.jag.2016.12.010

Dieses zitieren

An unsupervised two-stage clustering approach for forest structure classification based on X-band InSAR data - A case study in complex temperate forest stands. / Abdullahi, Sahra; Schardt, Mathias; Pretzsch, Hans.
in: International Journal of Applied Earth Observation and Geoinformation, Jahrgang 57, 2017, S. 36-48.

Publikation: Beitrag in einer Fachzeitschrift › Artikel › Begutachtung

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