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

Research output: Contribution to journalArticle

LanguageEnglish
Pages36-48
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume57
DOIs
StatusPublished - 2017

Fields of Expertise

  • Sustainable Systems

Cite this

@article{7a4e5d3eea5d4468b715dc0a9951b616,
title = "An unsupervised two-stage clustering approach for forest structure classification based on X-band InSAR data - A case study in complex temperate forest stands",
author = "Sahra Abdullahi and Mathias Schardt and Hans Pretzsch",
year = "2017",
doi = "10.1016/j.jag.2016.12.010",
language = "English",
volume = "57",
pages = "36--48",
journal = "International Journal of Applied Earth Observation and Geoinformation",
issn = "0303-2434",
publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - An unsupervised two-stage clustering approach for forest structure classification based on X-band InSAR data - A case study in complex temperate forest stands

AU - Abdullahi,Sahra

AU - Schardt,Mathias

AU - Pretzsch,Hans

PY - 2017

Y1 - 2017

U2 - 10.1016/j.jag.2016.12.010

DO - 10.1016/j.jag.2016.12.010

M3 - Article

VL - 57

SP - 36

EP - 48

JO - International Journal of Applied Earth Observation and Geoinformation

T2 - International Journal of Applied Earth Observation and Geoinformation

JF - International Journal of Applied Earth Observation and Geoinformation

SN - 0303-2434

ER -