Kajian Lahan Potensial untuk Budidaya Perikanan dari Citra Satelit di Pantai Timur Belitung
Jonson Lumban-Gaol(1*), Nyoman Metta N. Natih(2), Marlis Yulianto(3)
(1) Institut Pertanian Bogor
(2) Institut Pertanian Bogor
(3) Universitas Pakuan
(*) Corresponding Author
Abstract
Pemetaan lahan yang potensial untuk budidaya perikanan dilakukan melalui pemetaan topografi dan tutupan lahan dari citra satelit serta survei lapang di perairan pantai Timur Belitung. Peta Topografi estimasi dari citra satelit mempunyai pola yang sama dengan hasil pengukuran terestris dimana ketinggian lahan semakin meningkat mulai dari garis pantai menuju daratan. Data hasil pengukuran topografi secara terestris lebih tinggi dari data topografi estimasi dari data satelit. Tipe pasut di perairan pantai Belitung timur adalah tipe tunggal. Data pasut ini digunakan menjadi acuan untuk pengukuran topografi secara terestris. Peta tutupan lahan hasil intrepretasi dari citra satelit diklasifikasikan menjadi kelas: hutan primer, hutan sekunder, belukar, rawa/air, lahan terbuka, permukiman dan galian tambang. Berdasarkan peta topografi, peta tutupan lahan dan data pasang surut maka lahan di wilayah kajian pesisir pantai Timur Belitung potensial dikembangkan untuk budidaya perikanan seluas 9.000 ha.
ABSTRACT
Mapping potential land for aquaculture was done through topography, and land cover mapping derived satellite imagery and field survey in the east coast of Belitung. Topographic data derived satellite, and terrestrial measurement shows that topographic patterns increase as we move from the coastal line to inland. Topographic data from the terrestrial measurement was higher than satellite estimations. The type of tide in the east coast Belitung’s is the diurnal type. Within this research, tidal data was used as a reference terrestrial topographic measurement. Land coverage maps from satellite images were classified into primary and secondary forests, grove forests, marsh/water lands, open land, inhabited land, and mining areas. According to topographic, land cover map, and tide pattern it can be confirmed that the eastern coastal area of Belitung has the potential to be developed into an aquaculture fishery area of 9,000 ha.
Keywords
Full Text:
PDFReferences
Berlanga-Robles, C.A. & A. Ruiz-Luna. (2002). Land use mapping and change detection in the coastal zone of northwest Mexico using remote sensing techniques. Journal of Coastal Research, 514-522.
DKP (Departemen Kelautan dan Perikanan). (2002). Pedoman umum penataan ruang pesisir dan pulau-pulau kecil. Depertemen Kelautan dan Perikanan. Jakarta.
Foody, G.M. 2002. Status of land cover classification accuracy assessment. Remote sensing of environment, 80(1), 185-201.
Gorocovich Y. & A. Voustianiok. (2006). Accuracy assessment of the processed SRTM-base elevation data by CGIAR using filed data from USA and Thailand and its relationship to the terrain characteristics. J. of Remote Sensing and Environmental, 104, 409-415.
Hirano, A., Welch, R. & H. Lang. (2003). Mapping from ASTER stereo image data: DEM validation and accuracy assessment. ISPRS Journal of Photogrammetry and Remote Sensing, 57(5-6), pp.356-370.
Jhonnerie, R., Siregar, V.P., Nababan, B., Prasetyo, L.B. & S. Wouthuyzen. (2015). Random forest classification for mangrove land cover mapping using Landsat 5 TM and ALOS PALSAR imageries. Procedia Environmental Sciences, (24): 215-221.
Lagerloef, G.S., Mitchum, G.T., Lukas, R.B., & P.P. Niiler. (1999). Tropical Pacific near-surface currents estimated from altimeter, wind, and drifter data. Journal of Geophysical Research-Oceans, 104(C10): 23313-23326.
Lumban-Gaol, J., Arhatin, R.E., Manurung, D., & M. Kawaru. (2007). Pemetaan Sumber Daya Laut Pulau Nias dengan Teknologi Penginderaan Jauh Satelit Pasca-Tsunami 2004. Jurnal Ilmu Pertanian Indonesia, 12(3): 131-140.
Lumban-Gaol, J., Arhatin, R.E. & M.M. Ling. (2014). Pemetaan Suhu Permukaan Laut Dari Satelit Di Perairan Indonesia Untuk Mendukung “One Map Policy”. In Deteksi Parameter Geobiofisik dan Diseminasi Penginderaan Jauh, Prosiding Seminar Nasional Penginderaan Jauh (pp. 433-442).
Manandhar, R., Odeh, I.O., & T. Ancev. (2009). Improving the accuracy of land use and land cover classification of Landsat data using post-classification enhancement. Remote Sensing, 1(3): 330-344.
Miliaresis, G.C., & C.V. Paraschou. (2005). Vertical accuracy of the SRTM DTED level 1 of Crete. International Journal of Applied Earth Observation and Geoinformation, 7(1): 49-59.
Singh, S.M. (1994). Effect of surface wind speed and sensor view zenith angle dependence of emissivity on SST retrieval from thermal infrared data: ATSR. International Journal of Remote Sensing, 15(13), pp.2615-2625.
Shalaby, A., & R. Tateishi. (2007). Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt. Applied Geography, 27(1) 28-41.
Setiawan, I.E., Siregar, V.P., Pramono, G.H. & D. M. Yuwono. (2014). Pemetaan profil habitat dasar perairan dangkal berdasarkan bentuk topografi: studi kasus Pulau Panggang, Kepulauan Seribu Jakarta. Majalah Ilmiah Globe, 16(2) 125-132.
Wahidin, N., Siregar, V.P., Nababan, B., Jaya, I. & S. Wouthuyzen. (2015). Object-based image analysis for coral reef benthic habitat mapping with several classification algorithms. Procedia Environmental Sciences, 24: 222-227.DOI: https://doi.org/10.22146/mgi.33420
Article Metrics
Abstract views : 9804 | views : 10084Refbacks
- There are currently no refbacks.
Copyright (c) 2018 Majalah Geografi Indonesia
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Volume 35 No 2 the Year 2021 for Volume 39 No 1 the Year 2025
ISSN 0215-1790 (print) ISSN 2540-945X (online)
Statistik MGI