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.
|Title of host publication||IEEE Geoscience and Remote Sensing Symposium 2012 Proceedings|
|Publisher||IEEE Institute of Electrical and Electronic Engineers|
|ISBN (Electronic)||978-1-4673-1159-5 , 978-1-4673-1158-8|
|Publication status||Published - 2012|
|MoE publication type||A4 Article in a conference publication|
- SAR polarimetry
- boreal forest