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Detecting seasonal change of deciduous trees using ALOS PALSAR and airborne lidar | IEEE Conference Publication | IEEE Xplore

Detecting seasonal change of deciduous trees using ALOS PALSAR and airborne lidar


Abstract:

High resolution active remote sensing data are getting more accessible. ALOS PALSAR radar data can provide 10 to 30 m resolution data. With those resolutions, land use ch...Show More

Abstract:

High resolution active remote sensing data are getting more accessible. ALOS PALSAR radar data can provide 10 to 30 m resolution data. With those resolutions, land use changes can be detected and monitored well. The land use map of multi-temporal data is made by radar images, but seasonal change caused by deciduousness should be separately identified from the human activities. In this study, airborne lidar is used as ground truth data to estimate canopy volume and the estimated volume is compared with the change on the backscattering coefficients of multi-temporal radar images. The process used in this study is useful to monitor the small change detection with high resolution radar data given by ALOS 2 satellite launch near the future.
Date of Conference: 22-27 July 2012
Date Added to IEEE Xplore: 10 November 2012
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Conference Location: Munich, Germany

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