Abstract
The paper describes evaluating the potential of peatland
detection under forest canopy with L-band space borne
quad-polarization data in the boreal forest zone.
Particular emphasis was made on under what seasonal
conditions this detection was possible using single SAR
data-take. For this purpose multitemporal ALOS PALSAR
imagery acquired over Kuortane test site in central
Finland during 2007-2008 was used. Supervised
classification experiments employing selected
polarimetric features were performed using standard
maximum likelihood approach and probabilistic neural
network (PNN). Strong non-gaussianity effects were noted,
with better performance demonstrated by PNN, utilizing
non-parametric estimation of probability distributions of
the respective polarimetric features. Suitability of
several techniques aimed at compensating the presence of
forest canopy was studied as well.
| Original language | English |
|---|---|
| Title of host publication | IEEE Geoscience and Remote Sensing Symposium 2012 Proceedings |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 4918-4921 |
| ISBN (Electronic) | 978-1-4673-1159-5 , 978-1-4673-1158-8 |
| ISBN (Print) | 978-1-4673-1160-1 |
| DOIs | |
| Publication status | Published - 2012 |
| MoE publication type | A4 Article in a conference publication |
Keywords
- Peatland
- SAR polarimetry
- boreal forest
- classification