Abstract:
SAR can map paddy rice crops in Southern Vietnam’s Mekong Delta due to rice’s strong temporal backscatter signature. Due to the complex land-use/land-cover in the Red River Delta, SAR rice mapping is difficult.
Hydrological simulations in river basins like the Cau River require rice field data. This study examines RADARSAT-2 band-C’s ability to identify rice fields across a large and fragmented land-use area. The study area’s land-use/land-cover dictates two methods for each data type. The HH like-polarized ratio of dual-pol data was thresholded using rice backscattering temporal variation statistics.
The full quad-pol and one HH-polarization calculated from polarimetric data were SVM-analyzed. This study shows that RADARSAT-2 dual- and quad-pol data can identify rice fields. Dual-pol data is less efficient than quad-pol data, but SVM classification is more flexible than thresholding.
The classification accuracy of full quad-pol data is 3 to 10% higher than that of a single HH polarization. Polarimetric C-band data identified Northern Vietnam rice fields.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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