The Spatial Pattern of Rice Productivity Using Sentinel-2A Image in Cariu and Tanjungsari District, Bogor Regency
Abstract
Rice is known as substantial main foodstuffs of Indonesian people. According to the Report from Indonesia Centrer of statistic (BPS), of- West Java Province 2018, Bogor Region is one of lower-rice productions which was shown by decreasing value approximately 26,307 ton between 2014 and 2015. The increasing efforts of rice productivity is required to estimate and observe a rice-grain supplying in the market, especially in Cariu and Tanjungsari as the primary and specific city of rice production in Bogor Region. To gain an accurate data, remote sensing method is applied. The using of sentinel-2A image processing which has 10 m of spatial resolution is recommended to see the rice planting phase based on the age of planting. The study aims to analyze the spatial studying of rice production using Sentinel-2A image processing with Normalize Difference Vegetation Index (NDVI) method for to determine the age of rice plants starting from the beginning of planting to the end of the harvest and also help estimate the productivity of rice paddies. The results show that rice production estimation which is planted in the altitude of under 100 masl (mean sea level) have value 5,52 ton/ha, to the optimum altitude on the range of 100-500 masl the productivity increase become 6,31 ton/ha, and back down on the altitude more than 500 masl equal to 5,34 ton/ha.
References
[1] BBPTP (Balai Besar Penelitian Tanaman Padi). (2015). Varietas. Subang: Badan Besar Penelitian Tanaman Padi.
[2] Anonim (2018). Laporan Kegiatan Tahunan UPT Pertaniann Kecamatan Cariu dan Tanjungsari. Dinas Pertanian Kabupaten Bogor.
[3] Mosleh, M. K., Quanzi, K. H., Ehsan, H. C.(2015). Application of Remote Sensors in Mapping Rice Area and Forecasting Its Production: A Review. Sensor’s Journal: 15;769–791.
[4] Chairuman, N. (2013). Kajian Adaptasi Beberapa Varietas Unggul Baru Padi Sawah Berbasis Pendekatan Pengelolaan Tanaman Terpadu di Dataran Tinggi Tapanuli Utara Provinsi Sumatera Utara. Jurnal Online Pertanian Tropik Pasa Sarjana FP USU, 147–154.
[5] Adie. (2008). Produksi dan Produktivitas Tanaman Pertanian Utama di Kabupaten Cianjur Berdasarkan Profil Ketinggian Tempat. Institut Pertanian Bogor.
[6] Ryan, L.(1997).Creating a Normalized Difference Vegetation Index (NDVI) Image Using Multi Spectral. Newmarket. USA: University of New Hampshire.
[7] ESA (European Space Agency), 2017. ESA Sentinel Online. Accessed on August 23, 2018, 01.13 PM, https://sentinel.esa.int/web/sentinel/missions/sentinel-2
[8] BPS (BPS Kabupaten Bogor).(2015). Kabupaten Bogor dalam Angka 2015. Bogor: Badan Pusat Statistik Kabupaten Subang.
[9] Gascon F, Bouzinac C and Thepaut O 2017 Copernicus Sentinel-2A Calibration and Products Validation Status Remote Sensing 9; 6–13.
[10] Pradipta. (2012). Analisis Data Time Series NDVI-SPOT Vegetation untuk Tanaman Padi di Kabupaten Karawang. Fakultas Matematika dan Ilmu Pengetahuan Alam Institut Pertanian Bogor.
[11] Guilford, J. (1980). Fundamental Statistics in Psychology and Education. McGraw Hill. 6; 345–355.
[12] Weng, Q. (2011). Per-Pixel Vs. Object-based Classification of Urban Land Cover Extraction using High Spatial Resolution Imagery. Remote Sensing of Environment, 5; 1145–1116.