LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

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

Photo from wikipedia

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… Click to show full 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.

Keywords: rice paddies; season rice; rice; polarization; radarsat data; season

Journal Title: International Journal of Geomate
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.