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

Author

Kato, Akira ; Watanabe, Manabu ; Yamaguchi, Yoshio ; Kobayashi, Takehiko

Author_Institution

Grad. Sch. of Horticulture, Chiba Univ., Matsudo, Japan

fYear

2012

fDate

22-27 July 2012

Firstpage

1656

Lastpage

1659

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.

Keywords

remote sensing by radar; vegetation; vegetation mapping; ALOS 2 satellite; ALOS PALSAR radar data; airborne lidar; backscattering coefficients; canopy volume; decisuous trees; ground truth data; high resolution active remote sensing data; high resolution radar data; human activities; land use changes; land use map; multitemporal data; multitemporal radar images; seasonal change; Backscatter; Laser radar; Radar imaging; Radar remote sensing; Spaceborne radar; Vegetation; biomass; change detection; forest; lidar; radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6351209

Filename

6351209