Peatland delineation under forest canopy with polsar data using model based decomposition technique

Oleg Antropov, Yrjö Rauste, J. Praks, M. Hallikainen, Tuomas Häme

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)


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 languageEnglish
Title of host publicationIEEE Geoscience and Remote Sensing Symposium 2012 Proceedings
PublisherIEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)978-1-4673-1159-5 , 978-1-4673-1158-8
ISBN (Print)978-1-4673-1160-1
Publication statusPublished - 2012
MoE publication typeA4 Article in a conference publication


  • Peatland
  • SAR polarimetry
  • boreal forest
  • classification

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