Rice crop monitoring using X, C and L band SAR data

Yuzo Suga; Tomohisa Konishi

doi:10.1117/12.800051

2 October 2008 Rice crop monitoring using X, C and L band SAR data

Yuzo Suga, Tomohisa Konishi

Proceedings Volume 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X; 710410 (2008) https://doi.org/10.1117/12.800051
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

Abstract

Rice crop is one of the most important agricultural products in Asia. It is necessary to monitor rice in wide area for the food control and the adjustment of food. This study focuses on the validation for monitoring of rice crop growth and extraction of rice-planted area using the German TerraSAR-X (X-band), ENVISAT-1/ASAR (C-band) and ALOS/PALSAR (L-band). TerraSAR-X is an advanced satellite which is able to observe 1m resolution with single polarization (HH or VV) or 2m resolution with dual polarization (HH/VV) in SpotLight mode. Also ASAR and PALSAR have single and dual polarization mode. Multi-temporal SAR data of each satellite are processed and analyzed to investigate temporal change of SAR backscattering coefficient of rice-planted area during the rice growing cycle with different wavelength, polarization and resolution in the test site of Hiroshima, Japan. Ground truth data are measured simultaneously with satellite observation such as height of plant, vegetation cover and Leaf Area Index (LAI) corresponding to SAR observation, and also the correlation between SAR backscattering coefficient and those parameters of rice crop growing were analyzed. SAR backscatter shows the significant change in early stage of rice growing cycle. Therefore, rice-planted area extraction is conducted with multi-temporal SAR data based on a classification technique using maximum likelihood method (MLC). In conclusion, rice crop growth and rice-planted area extraction can be successfully monitored using multi-temporal and multi-wavelength SAR data.

Citation Download Citation

Yuzo Suga and Tomohisa Konishi "Rice crop monitoring using X, C and L band SAR data", Proc. SPIE 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X, 710410 (2 October 2008); https://doi.org/10.1117/12.800051

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available