Spatial distribution of rice planting pattern using sentinel-1a sar in pabuaran subdistrict, subang regency, indonesia

Autor: H Yazid, A Wibowo, Kustiyo Kustiyo
Rok vydání: 2022
Předmět:
Zdroj: IOP Conference Series: Earth and Environmental Science. 1089:012041
ISSN: 1755-1315
1755-1307
DOI: 10.1088/1755-1315/1089/1/012041
Popis: The Monitoring of paddy fields conducts to guarantee national food data. One of the ways is to use the Sentinel-1A (Synthetic-Aperture Radar) system with a spatial resolution of 10 meters and able to penetrate the clouds. The purpose of this research is the identification of the spatial distribution of rice planting period and planting patterns within one year. The variable is a value of rice plating period based on backscattered value on Sentinel-1A imagery. The image analysis method used supervised maximum likelihood classification with training sample based on ground truth survey to generate rice planting period. The rice planting periods was land preparation, vegetative, reproductive, generative, and fallow phase. The results showed that the backscatter value in the land preparation phase was very low (-25.81 dB), then continued to increase upon entering the vegetative phase (-20.64 dB), which achieve maximum value on reproductive phase (-14.82 dB). At the time of paddy field entering the generative phase, the backscatter value would drop to averages -17.76 dB. The fallow phase is characterized by backscatter values that are ascending or not patterned due to the absence of roughness changes on the paddy field’s surface. The results of the study found there are three times of rice planting period in Pabuaran Subdistrict. Moreover, the research found there are six rice planting patterns, which are (1) paddy-paddy-paddy, (2) paddy-paddy-fallow, (3) paddy-fallow-paddy, (4) fallow-paddy-paddy, (5) paddy-fallow-fallow, and (6) fallow-paddy-fallow. This research concludes that spatial distribution dominated with rice planting patterns is paddy-fallow-paddy and distributed spread around Pabuaran Subdistrict.
Databáze: OpenAIRE
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