Analisis Perubahan Lahan Di Kecamatan Parongpong Menggunakan  Citra Satelit Sentinel.2

Akhmad E Firlli  Dimyati; Lili  Somantri; Nanin Trianawati  S

Akhmad E Firlli Dimyati Departemen Pendidikan Geografi, Fakultas Pendidikan Ilmu Pengetahuan Sosial, Universitas Pendidikan Indonesia
Lili Somantri Departemen Pendidikan Geografi, Fakultas Pendidikan Ilmu Pengetahuan Sosial, Universitas Pendidikan Indonesia
Nanin Trianawati S Departemen Pendidikan Geografi, Fakultas Pendidikan Ilmu Pengetahuan Sosial, Universitas Pendidikan Indonesia

Keywords: Land Change, Sentinel 2, Parongpong, OBIA

Abstract

Parongpong sub-district is a suburban area where this area is one of the favorite areas in selecting residential areas, on the other hand, this area is still dominated by agricultural land. The importance of monitoring land change in an area, especially in suburban areas is very important. The use of medium-resolution satellite imagery data would be a good choice because of the easy access and availability of free data. Sentinel-2 is one of the free medium resolution satellite imagery which has a spatial resolution of 10 meters in the visible channel. The method used is remote sensing with the OBIA (Object-Based Image Analysis) approach with temporal data for two years from 2017-to 2019. The image accuracy test resulted in an Overal Accuracy value of 94.8% and a Kappa Accuracy value of 95.04%. The results of the study show that the rate of land-use change that occurred in the Parongpong Subdistrict over a period of two years, starting in 2017 to 2019, has a rate of change in the value range between -0.21% to 0.17%. The largest reduction in land use was in scrub and empty land by -8.9 Ha and the largest increase in land use for Settlements and Activities by 7.27 Ha. . Patterns of change that occur are only in four types of forest land use, bush scrub, where the pattern of change that occurs is the use of forest land to settlement and fields. Meanwhile, shrubs become fields and settlements

References

Sumber Buku
Arsyad, S. (1989). Pengawetan tanah dan air. Bogor:Departemen Ilmu tanah IPB.

Danoedoro, P. (2012). Pengantar Penginderaan Jauh Digital.Penerbit Andi: Yogyakarta

Sumber Dokumen
Badan Pusat Statistik Jakarta Pusat , (2015). Statistik Indonesia Tahun 2015. Jakarta Pusat : Badan Pusat Statistik

Sumber Jurnal
As-syakur, A., Adnyana, I., Arthana, I. W., & Nuarsa, I. W. (2012). Enhanced built-up and bareness index (EBBI) for mapping built-up and bare land in an urban area. Remote Sensing, 4(10), 2957-2970.

Giyarsih, S.R. (2001). Gejala Urban Sprawl sebagai Pemicu Proses Densifikasi Permukiman di Daerah Pinggiran Kota (Urban Fringe Area). [Jurnal]. Jurnal Pembangunan Wilayah, vol 12 No. 1/Maret, hal 40-45.

Marangoz, A. M., Sekertekin, A., & Akçin, H. (2017). Analysis of land use land cover classification results derived from Sentinel-2 image. Proceedings of the 17th International
Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 25-32.

Martono, D. N. (2008). Aplikasi teknologi penginderaan jauh dan uji validasinya untuk deteksi penyebaran lahan sawah dan penggunaan/penutupan lahan. In Seminar Nasional Aplikasi Teknologi Informasi (SNATI) (Vol. 1, No. 1).

Phiri, D., Simwanda, M., Salekin, S., R Nyirenda, V., Murayama, Y., & Ranagalage, M. (2020). Sentinel-2 Data for Land Cover/Use Mapping: A Review. Remote Sensing, 12(14), 2291.

Turner, V. B., Shalamzari, M. J. and Farajollahi, A., (2017), Sediment and soil nutrient loss under simulated rainfall, Journal of the Faculty of Forestry Instanbul University, 67 (1), 37-48.

Wibowo, T. S., & R Suharyadi, R. S. (2012). Aplikasi Object-Based Image Analysis (OBIA) untuk Deteksi Perubahan Penggunaan Lahan Menggunakan Citra ALOS AVNIR-2. Jurnal Bumi
Indonesia, 1(3).

Zhang, J., Li, P., & Wang, J. (2014). Urban built-up area extraction from Landsat TM/ETM+ images using spectral information and multivariate texture. Remote Sensing, 6(8), 7339-7359.