APPLICATION OF FINE QUAD-POLARIZATION RADARSAT-2 DATA AND SUPPORT VECTOR MACHINES TO CLASSIFY OFFSEASON RICE PADDIES

Authors

  • Chattichai Waisurasingha
  • Masamu Aniya

Keywords:

Synthetic aperture radar (SAR), Multi-polarization, Supervised classification, Rice paddies

Abstract

In monsoon areas in Asia, most seasonal rice paddies are destroyed annually by flooding.
To secure rice production, farmers in these areas grow off-season rice crops, which can be produced only
with irrigated water. However, due to prevailing drought conditions, the cultivation of off-season rice crops
cannot commence simultaneously. The availability of irrigated water is the critical factor for farmers in
deciding when to begin off-season cultivation. To assess off-season rice production, a map of the cultivated
area is required. Using multi-polarization/multi-temporal RADARSAT-2 data, this study aims to estimate
and map the off-season rice paddies. The potential of using support vector machine classification to map
off-season rice paddies with C-band SAR data was also established. Multi-temporal fine quad-polarization
RADARSAT-2 data can be effectively used to estimate off-season rice cultivated areas.

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Published

2018-02-20

How to Cite

Chattichai Waisurasingha, & Masamu Aniya. (2018). APPLICATION OF FINE QUAD-POLARIZATION RADARSAT-2 DATA AND SUPPORT VECTOR MACHINES TO CLASSIFY OFFSEASON RICE PADDIES. GEOMATE Journal, 14(46), 185–192. Retrieved from https://geomatejournal.com/geomate/article/view/2897

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