Mapping of Land Cover Using Remote Sensing in Papela Village, Rote Timur District in 2021
DOI:
https://doi.org/10.35895/rf.v5i2.35Keywords:
Pemetaan; Penginderan Jauh; Desa PapelaAbstract
Land cover mapping with remote sensing has never been done in Papela Village. This land cover mapping can provide information to the Papela village government regarding land cover in Papela village. Since 2021, Papela village has experienced regional expansion. Therefore, in this study, it aims to map the land cover on Rote Island, precisely in Papela village, Rote Ndao Regency before the expansion of the area using remote sensing. The remote sensing data used is a Landsat 8 image recorded in March 2021 which was downloaded from the USGS website. Landsat 8 imagery is classified in a guided manner according to the land cover training area data taken by GPS. The results of this study are in the form of land cover maps in Papela village. From this map, 6 classes of land cover were obtained, namely settlements (22.73 ha), shrubs (56.52 ha), forests and mangroves (39.76 ha), rice fields (31.39 ha), ponds (1.46 ha), and gardens (6.48 ha).
References
Derajat, Roihan Muhammad et al. 2020. ‘Land Cover Classification Using Landsat 8 Operational Land Imager (OLI) Imagery in Pangandaran District.’ Journal of Samudra Geography 3(1):1-10. doi: 10.33059/jsg. v3i1.1985.
ESRI. (2013, July 24). Imagery & Remote Sensing | Band Combinations for Landsat
https://www.esri.com/arcgis-blog/products/product/imagery/band combinations-for-landsat-8/
Hakim, Farid Lukman. 2019. Interpretation of Landsat 8 Satellite Imagery for Land Cover Mapping of East Java Province. University of Jember. [thesis]
https://landsat.gsfc.nasa.gov/article/picturing-pixel (accessed on 03 December 2024)
http://id.wikipedia.org/wiki/Program_Landsat (accessed on 03 December 2024)
Lillesand, T. M., Kiefer, R. W., & Chipman, J. W. 2015. Remote Sensing and Image Interpretation (Seventh Edition).
Narulita, I. 2008. Application of Geographic Information System to Determine Rehab Priority Areas in Bandung Basin. Journal of Geological and Mining Research. Vol. 18 No. 1. pp: 23-24.
Pauleit, S., Ennos, R., and Golding, Y. 2005. Modelling the environmental impacts of urban land use and landPrahasta, E. 2005. Konsep-Konsep Dasar Sistem Informasi Geografis. Bandung: Informatika.
Susanto.2013. Metode Penelitian Penginderaan Jauh. Yogyakarta: Badan Penerbit Fakultas Geografi (BPFG).
Syah, Achmad Fachruddin. 2010. “Penginderaan Jauh Dan Aplikasinya Di Wilayah Pesisir Dan Lautan.” Kelautan 3(1):18-28.
Yakhin, Eltvicson, A.Md.Stat. 2023. “Kecamatan Rote Timur Dalam Angka.” Rote Ndao: Badan Pusat Statistik Kabupaten Rote Ndao.
NASA, USGS Mulai Kerjakan Landsat 8 untuk Lanjutkan Warisan Pencitraan Lahan". NASA. Diakses tanggal 16 April 2015. Artikel ini memuat teks dari sumber tersebut, yang berada dalam ranah publik.
Landsat 8 Science Instrument Details". Goddard Space Flight Center. NASA