![]() |
![]() |
GI_Forum 2013, Volume 1Creating the GISociety – Conference Proceedings
|
![]() |
Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
![]() |
|
DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
|
GI_Forum 2013, Volume 1, pp. 536-539, 2013/06/20
Creating the GISociety – Conference Proceedings
This work aimed to investigate the potential of remote sensing to provide information on the spatial distribution of habitats in the Alpine region. Specifically, the performances of different classification methods, namely Maximum Likelihood (ML), Decision Tree (DT) and Support Vector Machine (SVM) were investigated for land-cover mapping using multitemporal RapidEye data. Results showed that SVM (85 % overall accuracy) outperformed ML (80 % overall accuracy) and DT (79 % overall accuracy). The resulted land-cover classes were subsequently reclassified into habitat classes using a spatial kernel approach. Findings suggest that the inclusion of solar radiation layers in the classification procedure as well as the use of multi-temporal images improves the classification accuracy by 4 % and 10 %, respectively.