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

Institute of Geodesy (5220)

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	36-48
Journal	International Journal of Applied Earth Observation and Geoinformation
Volume	57
DOIs	https://doi.org/10.1016/j.jag.2016.12.010
Publication status	Published - 2017

Fields of Expertise

Sustainable Systems

Access to Document

10.1016/j.jag.2016.12.010

Cite this

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, Vol. 57, 2017, p. 36-48.

Research output: Contribution to journal › Article › peer-review

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