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Abstract

This study presents results for observing forest changes in Sweden using multi-temporal L-band satellite data and is a part of the JAXA's ALOS Kyoto and Carbon Initiative. An extensive dataset of images acquired by the Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) is investigated for clear-cut detection in boreal forests in northern Sweden (Lat. 64 degrees 14' N, Long. 19 degrees 50' E). Strong forest/non-forest contrast and temporal consistency were found for the Fine Beam Dual HV-polarized backscatter during unfrozen conditions. Thus, a simple thresholding algorithm that exploits the temporal consistency of pair-wise HV-backscatter measurements has been developed for clear-cut detection. When applied to an image pair acquired during favorable weather conditions, the detection algorithm identified 76% of the clear-cut pixels within a reference layer, with zero erroneously detected pixels. With further refinement the developed methodology can be an option to present operational alternatives for clear-cut detection.

Published in

IEEE International Geoscience and Remote Sensing Symposium proceedings
2009, pages: 1891-1894
Publisher: IEEE

Conference

IEEE International Geoscience and Remote Sensing Symposium

SLU Authors

Global goals (SDG)

SDG15 Life on land

UKÄ Subject classification

Forest Science
Environmental Sciences and Nature Conservation

Publication identifier

  • DOI: https://doi.org/10.1109/IGARSS.2009.5417826
  • ISBN: 978-1-4244-3394-0

Permanent link to this page (URI)

https://res.slu.se/id/publ/28260