Mapping of clear-cuts in Swedish forest using satellite images acquired by the radar sensor ALOS PALSAR

• Main Author: Krantz, Anders
• Format: Other/Unknown Material
• Language: English; Swedish
• Published: SLU/Dept. of Forest Resource Management 2009
• Subjects: Remote Sensing; Forest monitoring; Algorithm; change detection; JAXA; Northern Sweden
• Online Access: https://stud.epsilon.slu.se/716/

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.