Rice scattering mechanism analysis and classification using polarimetric RADARSAT-2

Author

Shao, Yun ; Li, Kun ; Touzi, Ridha ; Brisco, Brian ; Zhang, Fengli

Author_Institution

Inst. of Remote Sensing Applic., Beijing, China

fYear

2012

fDate

22-27 July 2012

Firstpage

1445

Lastpage

1448

Abstract

China is the largest rice producer in the world. Guizhou province is an important rice growing area in the southwest of China. However, rice monitoring with remote sensing data has great difficulties in this region due to its perennial cloud-coverage weather and undulating terrain. With the emergence of polarimetric SAR data and state of art methods for polarization information extraction, rice monitoring in this region is more promising. In this study, multi-temporal RADARSAT-2 polarimetric SAR data set was acquired in Guizhou, China. The Freeman-Durden, Cloude-Pottier and the Touzi decompositions were used for classification and rice scattering mechanism analysis.

Keywords

geophysical image processing; geophysical techniques; image classification; radar imaging; vegetation; China; Cloude-Pottier decomposition; Freeman-Durden decomposition; Guizhou province; Touzi decomposition; perennial cloud-coverage weather; polarimetric RADARSAT-2; polarimetric SAR data; polarization information extraction; remote sensing data; rice growing area; rice monitoring; rice producer; rice scattering mechanism analysis; rice scattering mechanism classification; undulating terrain; Accuracy; Clouds; Monitoring; Production; Remote sensing; Scattering; Synthetic aperture radar; RADARSAT-2; polarimetric SAR; rice;

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.2012.6351263

Filename

6351263