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.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Geoscience and Remote Sensing Symposium |
| Publisher | IEEE |
| Pages | 1891-1894 |
| Number of pages | 4 |
| ISBN (Print) | 978-1-4244-3394-0 |
| DOIs | |
| Publication status | Published - 2009 |
Publication series
| Series | IEEE International Geoscience and Remote Sensing Symposium proceedings |
|---|---|
| ISSN | 2153-6996 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
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