3:45 PM - 4:00 PM
[STT48-08] Classification of paddy fields and non-paddy fields using growth characteristics of back scattering coefficient of paddy rice by ALOS-2 / PALSAR-2.
Keywords:PALSAR-2, paddy fields
Synthetic Aperture Radar (SAR) is a technique that measures the microwave (backscattering coefficient) that the radar itself emits microwaves, scatters as it hits an object to be observed, and bounces back in the direction of the radar. Therefore, unlike optical sensors, it is possible to observe the ground surface independently of weather and day and night. In addition, we can observe the wide area with one observation. Therefore, it is useful in the field of agriculture.
In this research, we used observation data (total of 38 scenes) of PALSAR - 2 installed in JAXA 's "Daichi 2" (ALOS - 2) from 2014 to 2017. Time series change of the back scattering coefficient of field planted with paddy rice was modeled using least squares method. From the distribution characteristics of each coefficient, the boundary line between paddy field and non-paddy field was visually set and binary classification chart was created. As accuracy verification, we superimposed classification diagrams on Google Earth and verified 200 places where paddy rice was planted in the field survey. As a result, the classification accuracy was confirmed to be 87.5%. As a cause of misextraction, there is a steel tower near the misclassified field, which is considered to have been influenced.