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Krantz, Anders, 2009. Mapping of clear-cuts in Swedish forest using satellite images acquired by the radar sensor ALOS PALSAR. Second cycle, A1E. Umeå: SLU, Dept. of Forest Resource Management

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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°14’ N, Long. 19°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 detection of clear-felled areas. 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.

Main title:Mapping of clear-cuts in Swedish forest using satellite images acquired by the radar sensor ALOS PALSAR
Authors:Krantz, Anders
Supervisor:Fransson, Johan
Examiner:Olsson, Håkan
Series:Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning
Volume/Sequential designation:265
Year of Publication:2009
Level and depth descriptor:Second cycle, A1E
Student's programme affiliation:SY001 Forest Science - Master's Programme 300 HEC
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Keywords:Remote Sensing, Forest monitoring, Algorithm, change detection, JAXA
URN:NBN:urn:nbn:se:slu:epsilon-2-141
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-2-141
Subjects:Surveying methods
Language:English
Deposited On:23 Dec 2009 08:29
Metadata Last Modified:20 Apr 2012 14:10

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