Analisis Laju Perubahan Alih Fungsi Lahan Sawah di Wilayah Kabupaten Pringsewu
DOI:
https://doi.org/10.23960/jabe.v4i2.11105
Abstract View: 85
Abstract
Pringsewu Regency experienced land conversion to increasing land needs. Some of the impacts that can arise as a result of this land conversion include reduced agricultural land, threatened ecosystem balance, agricultural facilities and infrastructure becoming unused, higher urbanization rates, and decreased food production. To study and see how fast the function of rice fields in Pringsewu Regency is changing, a study was carried out regarding the rate of change in the function of rice fields in Pringsewu Regency by utilizing remote sensing techniques with a geographic information system.The results of the research show that there is a trend of decreasing vegetation density levels with the highest decrease in Sukorejo Village (53.37%), a trend of increasing building density levels with the highest increase in Sukorejo Village (45.87%), and a trend of increasing land wetness levels with the highest increase in Bulurejo Village (85.52%) between 2008 - 2022 and obtained a mathematical model Y = 10.7326 - 0.5190 X1 - 0.4007 to predict the rate of change in the conversion of rice fields in the Pringsewu Regency area.
Keywords: Geographic Information System, Land conversion, NDBI, NDVI, NDWI.
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Cahyono, B.E., Rahagian, R., Nugroho, A.T. 2023. Analisis produktivias padi berdasarkan indeks kekeringan (NDWI dan NDDI) lahan sawah menggunakan data citra Sentinel-2A di Kecamatan Ambulu. Indonesian Journal of Applied Physics, 13(1), 88-98.
Gaol, J.L., Arhatin, R.E., Manurung, D., Kawaru, M. 2007. Pemetaan sumber daya laut Pulau Nias dengan teknologi penginderaan jauh satelit pasca tsunami 2004. Jurnal Ilmu Pertanian Indonesia, 12(3), 131-140.
Kurniawan, S., Nurhaidar, W.O., Salihin, I. 2017. Optimalisasi transformasi spektral UI, NDBI, NDVI, dan kombinasi transformasi Spektral II-NDBI dan NDBI-NDVI guna mendeteksi kepadatan lahan terbangun di Kota Magelang. Jurnal Geografi Aplikasi dan Teknologi, 1(1), 13-22.
Landgrebe, D. 2003. Signal Theory Methods In Multispectral Remote Sensing. John Willey & Sons Inc. New Jersey.
Pemerintah Kabupaten Pringsewu. 2023. Tentang Pringsewu. Diakses pada 31 Oktober 2023. https://pringsewukab.go.id/pages/tentang-pringsewu.
Yuliara, I.M. 2016. Modul Regresi Linier Berganda. Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Udayana. Bali.
Zhang, T., Huang, X., Wen, D., Li, J. 2017. Urban building density estimation from high-resolution imagery using multiple features and support vector regression. EEA Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(7), 3265-3280.
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