the rice production of paddy field and relationship with...

The rice production of paddy field and relationship with elevation using Sentinel-1A

SAR in Subang Regency

Sofia U R, Rokhmatuloh R, A Wibowo

Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, 1642, Indonesia

Email: [email protected]; [email protected]

IGEOS4th IGEOS : International Geography Seminar and PIT IGI 2020


Introduction and Literature Review

2

The agricultural sector is an important role in the

life of the Indonesian people. The amount of rice consumption per

capita reaches 150 kg of rice per person per year.

[2]

Subang Regency is the third largest rice

producer in West Java [5] and it has a diverse

topography, with variations in the height

of 0-1.500 meters above sea level [10].

Sentinel-1 Image equipped with Synthetic

Aperture Radar (SAR) can be used to monitor

rice, that the information obtained

not yet obstruct by weather conditions and cloud interferences [8].


Method

• Maximum Likelihood

• Google Earth Engine

3


Result and Discussion

Classification of Rice Harvest Phase in Subang 2018 and 2019

4

Spatial Patterns of Harvest and Non-Harvest Phases in 2018 and 2019


Result and Discussion

Rice Production 2018 and 2019

5

R2 value : 0,58


Result and DiscussionSpatial Patterns of Rice Paddy Production

in 2018 and 2019

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R2 value 1 : 0,57

R2 value 3 : 0,09R2 value 2 : 0,1


Conclusion

• The calculation of rice production using Sentinel-1 Image shows the R2 value of 0,58. Areas with low elevation and flat topography have a better value than other areas, that was the high elevation and wavy topography, with an R2 value of 0,57.

• Rice production in low elevation and flat topography areas is higher than production in high elevation and hilly topography areas. The largest rice production is in the April-May period.

• In lowland areas, the crop pattern rotates from south to north. Rice production in the districts located in the west and east of the SubangRegency is more than in the central part.

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References[1] Donggulo C V, Lapanjang I M, and Made U 2017 J. Agroland. 24 35 [2] Indonesia Investments 2017 Beras. Retrieved November 8, 2019, from https://www.indonesia-

investments.com/id/bisnis/komoditas/beras/item183#[3] Rahayu A, Utami SR, and Rayes M L 2014 Jurnal Tanah Dan Sumberdaya Lahan 1 87[4] Ritung S, Mulyani A, Kartiwa B, and Suhardjo H 2004 Prospek Lahan Sawah, 8 251 [5] Pemerintah Provinsi Jawa Barat 2018 Website Resmi Pemerintah Provinsi Jawa Barat website:

https://jabarprov.go.id/index.php/news/30545/2018/11/01/Subang-Indramayu-dan-Karawang-Tetap-Jadi-Produsen-Padi-Terbanyak[6] BPS Kabupaten Subang 2019 [7] Fathoni M N, Chulafak G A, and Kushardono D 2017 Seminar Nasional Penginderaan Jauh 4 186 [8] Damanik Y V 2018 Universitas Sumatera Utara Retrieved from

http://repositori.usu.ac.id/bitstream/handle/123456789/5696/141201120.pdf?sequence=5&isAllowed=y[9] Supriatna S, Rokmatuloh R, Wibowo A, Shidiq I P A, Pratama G P and Gandharum L 2019 International Journal of GEOMATE, 17 106[10] RPJMD Kab. Subang 2019 Rancangan Awal Rencana Pembangunan Jangka Menengah Daerah (RPJMD) Kabupaten Subang Tahun

2018-2023 325 Retrieved from http://bappeda.jabarprov.go.id/wp-content/uploads/2019/02/Ranwal-RPJMD-Kab.-Subang-2018-2023.pdf

[11] Lopulisa C and Husni H 2008 Media Litbang, 36 158[12] Sandy I M 1985 Jurusan Geografi, FMIPA, Universitas Indonesia[13] Kustiyo 2019 Bahan Ajar Pemanfaatan Data Penginderaan Jauh Untuk Monitoring Sawah. (Jakarta)[14] Hendri and Setiawan R 2017 AGORA, 5 1

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