Most Indonesians people consume rice as a staple food and monitoring of sufficient rice crop growth required for national food security. Remote sensing with Synthetic Aperture Radar (SAR) data could use to observe the growth and classification of agricultural plants. The purpose of this research is to analyze spatial-temporal patterns of the growth phase and rice varieties in Ciasem District, Subang Regency. The Sentinel-1A radar image used to align research objectives based on VH backscatter polarization value in the planting period of 2018-2019. Google Earth Engine and maximum likelihood classification method used to process Sentinel-1A image data. The results showed that the rice-growing phase characteristic resulted in a trend of average backscatter value, which increased in the vegetative phase to the maturation phase and decreasing again after the harvest phase. Temporal average backscatter values in the rice planting period I was higher than period II. The spatial pattern of rice growing phase on planting period I start from the north to south, and planting period II starts from the south to north. The spatial patterns of rice varieties in the first and second planting periods categorized as random with the dominance of Inpari 42, Ciherang, and Mekongga varieties.
|Journal||IOP Conference Series: Earth and Environmental Science|
|Publication status||Published - 2022|
|Event||4th International Geography Seminar 2020, IGEOS 2020 - Virtual, Online|
Duration: 29 Sept 2020 → 30 Sept 2020