Landsat 8 Imagery Utilization to Spatial Analysis of Rehabilitation and Reconstruction of Palu Disaster in 2018
Keywords:
Land-use, Rehabilitation, Reconstruction, Remote sensing.
Abstract
Rehabilitation and reconstruction as a post-disaster stage becomes an important part in the disaster management cycle. Post-disaster as a moment that can be used to rebuild a better life order must be optimized in its implementation. This study was conducted using a spatial approach through the use of multitemporalremote sensing satellite imagery in Palu region. The data used in this study are Landsat 8 images in March 2018, Landsat 8 in November 2018 and Landsat 8 in March 2019. The research method is carried out through spatial analysis by supervised classification which is the maximum likelihood algorithm for classifying land use. The analysis was conducted by supervising classification to classify the existing conditions of land use. The research indicates that the locations of residential development are determined by the Government which are located inthe urban village of Tondo, sub-district of Mantkulore and urban village of Duyu, sub-district of West Palu, Palu City district; and they have considered the aspect of disaster vulnerability and land availability. The analysis of Landsat imagery shows that in this area, the rehabilitation and reconstruction process is ongoing. By theanalysis, it is discovered that there are changes in land-use before and after the disaster. In November 2018, there was a decrease of 56.4 hectares of built land in the village of Tondo and 17.76 hectares in village of Duyu. While, the results of the Landsat 8 image study in March 2019 shows that there are increases in these two regions.Downloads
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References
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Himayah, S., Hartono, Danoedoro, P 2017, ‘Pemanfaatan citra landsat 8 multitemporal dan Model Forest Canopy Density (FCD) untuk analisis perubahan kerapatan kanopi hutan di Kawasan Gunung Kelud, Jawa Timur’, Majalah Geografi Indonesia, vol. 31, no.1, pp. 65 – 72.
Jha, AK, Barenstein, JD, Phelps, PM, Pittet, D, Sena, S 2010, Safer homes, stronger communities a handbook for reconstructing after natural disasters, The World Bank, doi: 10.1596/978-0-8213-8045-1.
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Peacock, WG, Kunreuther, WH, Hooke, SL, Cutter, SE, Chang, PR, Berke 2008, Toward Resiliency and Vulnerability Observatory Network: RAVON, Report No.08-02R, Hazard reduction and recovery center, Collage Station, TX : Texas A & M University.
Pramumijoyo, S 2018, Terletak di tiga pertemuan lempeng, Palu rawan gempa, https://ugm.ac.id/id/berita/17134-terletak-di-tiga-pertemuan-lempeng-palu-rawan-gempa.
Pusat Studi Gempa Nasional (PuSGeN) 2018, Pusat Litbang Perumahan dan Pemukiman, Balitbang PUPR.
Sitanggang, G 2010, ‘Kajian pemanfaatan satelit masa depan: sistem penginderaan jauh satelit LCDM (landsat 8)’, Berita Dirgantara, Vol. 11, No. 2, LAPAN.
Smith, K, Petley, DN 2008, Environmental Hazards : Assessing risk and reducing disaster, Petley Routledge, Taylor & Francis e-Library.
Tiepolo, M , Pezzoli, A, Tarchiani, V 2017, ‘Renewing climate planning locally to attend the 11th sustainable development goal in the tropics’, ©The Author(s), Green Energy and Technology, DOI 10.1007/978-3-319-59096-7_1.
Utami, W, Wibowo, YA 2019a, ‘Pemanfaatan data spasial dan data kerawanan bencana sebagai evaluasi rencana tata ruang wilayah (studi kasus pasca tsunami di Banten)’, Prosiding Seminar Nasional, Pendekatan Multidisiplin Ilmu dalam Manajemen Bencana, Pusat Penelitian dan Pengabdian Masyarakat UNRIYO.
Utami, W, Wibowo, YA, Afiq, M 2019b, ‘Analisis spasial untuk lokasi relokasi masyarakat terdampak tsunami Selat Banten Tahun 2018’, Bhumi Jurnal Pertanahan dan Agraria, vol. 5, no. 1, http://dx.doi.org/10.31292/jb.v5i1.323.g278.
Wang, CH 2014, ‘A land use allocation optimization model to mitigate potential seismic damages’, Environment and Planning B: Palnning and Design, vol. 42, pp. 730-753. doi:10.1068/b130152p.
Wästfelt, A., & Arnberg, W 2013, ‘Local spatial context measurements used to explore the relationship between land cover and land use functions’, International Journal of Applied Earth Observation and Geoinformation, 23(0): 234–244. doi: http://dx.doi.org/10.1016/j.jag.2012.09.006.
Yi, Y 2018, ‘Firm relocation and age-dependent reliance on agglomeration externalities’, The Analysis of Regional Scince, ©Springer-VerlagGmbHGermany, https://doi.org/10.1007/s00168-018-0875-4, pp. 439-456.
Zhou, Q, Li, B, Chen, Y 2011, ‘Remote sensing change detection and process analysis of long-term land use change and human impacts’, Royal Swedish Academy of Sciences, Springer on behalf of Royal Swedish Academy of Sciences, vol. 40, no. 7, pp. 807-818, https://www.jstor.org/stable/41417339.
Regulations
Law Number 24 of 2007 on Disaster Management
Executive Order Number 10 of 2018 on Acceleration of Rehabilitation and Post-Disaster Reconstruction of the Earthquake and Tsunami in Central Sulawesi Province and Other Affected Areas
Local Government Regulation of District Palu City Number 2 of 2019 on The Organization and Work Procedure of the Regional Disaster Management Agency
Badan Nasional Penanggulangan Bencana (BNPB) 2019, Rp 36 trilyun dibutuhkan untuk rehabilitasi dan rekonstruksi pascabencana Sulteng, https://bnpb.go.id/rp-36-trilyun-dibutuhkan-untuk-rehabilitasi-dan rekonstruksi-pascabencana-sulteng, accessed 28 August 2019.
Bronen, R 2015, ‘Climate-induced community relocations using integrated social-ecological assessments to foster adaptation and resilience’, Ecology and Society, vol. 20, no. 3, Resilience Alliance Inc., https://www.jstor.org/stable/26270247.
Burby R J, Deyle R E, Godschalk D R, Olshansky, RB 2000, ‘Creating hazard resilient communities through land-use planning’, Natural Hazards Review, pp 99–106.
Comerio, MC 2014, ‘Disaster recovery and community renewal: housing approach’, A Journal of Policy Development and Research, vol. 15, no. 2, pp. 51-68, US Department of Housing and Urban Development, https://www.jstor.org/stable/10.2307/26326883.
Danoedoro, P 1996, Pengolahan citra digital (teori dan aplikasinya dalam bidang penginderaan jauh).
Danoedoro, P 2012, Pengantar penginderaan jauh, Penerbit Andi Yogyakarta.
De Sherbinin, A 2002, A CIESIN thematic guide to land land-use and land land-cover change (LUCC), NY, USA, http://sedac.ciesin. columbia.edu/binaries/web/sedac/thematic-guides/ciesin_lucc_tg.pdf.
Ellis, E 2007, ‘Land-use and land-cover change’, In Encyclopedia of Earth, http://www.eoearth.org/article/Land-use_and_land-cover_change.
Global Facility for Disaster Reduction and Recovery (GFDRR) 2010, Safer homes, stronger communities: a handbook for reconstruction after natural disasters, World Bank, Washington, D.C.
Himayah, S., Hartono, Danoedoro, P 2017, ‘Pemanfaatan citra landsat 8 multitemporal dan Model Forest Canopy Density (FCD) untuk analisis perubahan kerapatan kanopi hutan di Kawasan Gunung Kelud, Jawa Timur’, Majalah Geografi Indonesia, vol. 31, no.1, pp. 65 – 72.
Jha, AK, Barenstein, JD, Phelps, PM, Pittet, D, Sena, S 2010, Safer homes, stronger communities a handbook for reconstructing after natural disasters, The World Bank, doi: 10.1596/978-0-8213-8045-1.
Jordan, E, Will, AJ, Tierney, K 2016, ‘Post-tsunami recovery in Tamil Nadu, India: combined social and infrastructural outcomes’, Natural Hazards, 84, pp. 1327-1347, doi: 10.1007/s11069-016-2489-4.
Kennedy, RE, Andréfouët, S, Cohen, WB, Gómez, C, Griffiths, P, Hais, M, Healey, SP, Helmer, EH, Hostert, P, Lyons, MB, Meigs, GW, Pflugmacher, D, Phinn, SR, Powell, SL, Scarth, P, Sen, S, Schroeder, TA, Schneider, A, Sonnenschein, R, Vogelmann, JE, Wulder, MA and Zhu, Z 2014, ‘Bringing an ecological view of change to Landsat’, Frontiers in Ecology and the Environment, Vo. 12, No. 6, Wiley on behalf of the Ecological Society of America, https://www.jstor.org/stable/43188492.
Koshimura, S and Shuto, N 2015, ‘Response to the 2011 great East Japan earthquake and tsunami disaster,’ The Royal Society Publishing, https://www.jstor.org/stable/24506317.
Mahapatra, AK, Tewari, DD, Babbo, B 2015, ‘Displacement, deprivation and development: the impact of relocation on income and livelihood of tribes in similipal tiger and biosphere reserve, India’, Environtmental Management, doi: 10.1007/s00267-015-0507-z.
Peacock, WG, Kunreuther, WH, Hooke, SL, Cutter, SE, Chang, PR, Berke 2008, Toward Resiliency and Vulnerability Observatory Network: RAVON, Report No.08-02R, Hazard reduction and recovery center, Collage Station, TX : Texas A & M University.
Pramumijoyo, S 2018, Terletak di tiga pertemuan lempeng, Palu rawan gempa, https://ugm.ac.id/id/berita/17134-terletak-di-tiga-pertemuan-lempeng-palu-rawan-gempa.
Pusat Studi Gempa Nasional (PuSGeN) 2018, Pusat Litbang Perumahan dan Pemukiman, Balitbang PUPR.
Sitanggang, G 2010, ‘Kajian pemanfaatan satelit masa depan: sistem penginderaan jauh satelit LCDM (landsat 8)’, Berita Dirgantara, Vol. 11, No. 2, LAPAN.
Smith, K, Petley, DN 2008, Environmental Hazards : Assessing risk and reducing disaster, Petley Routledge, Taylor & Francis e-Library.
Tiepolo, M , Pezzoli, A, Tarchiani, V 2017, ‘Renewing climate planning locally to attend the 11th sustainable development goal in the tropics’, ©The Author(s), Green Energy and Technology, DOI 10.1007/978-3-319-59096-7_1.
Utami, W, Wibowo, YA 2019a, ‘Pemanfaatan data spasial dan data kerawanan bencana sebagai evaluasi rencana tata ruang wilayah (studi kasus pasca tsunami di Banten)’, Prosiding Seminar Nasional, Pendekatan Multidisiplin Ilmu dalam Manajemen Bencana, Pusat Penelitian dan Pengabdian Masyarakat UNRIYO.
Utami, W, Wibowo, YA, Afiq, M 2019b, ‘Analisis spasial untuk lokasi relokasi masyarakat terdampak tsunami Selat Banten Tahun 2018’, Bhumi Jurnal Pertanahan dan Agraria, vol. 5, no. 1, http://dx.doi.org/10.31292/jb.v5i1.323.g278.
Wang, CH 2014, ‘A land use allocation optimization model to mitigate potential seismic damages’, Environment and Planning B: Palnning and Design, vol. 42, pp. 730-753. doi:10.1068/b130152p.
Wästfelt, A., & Arnberg, W 2013, ‘Local spatial context measurements used to explore the relationship between land cover and land use functions’, International Journal of Applied Earth Observation and Geoinformation, 23(0): 234–244. doi: http://dx.doi.org/10.1016/j.jag.2012.09.006.
Yi, Y 2018, ‘Firm relocation and age-dependent reliance on agglomeration externalities’, The Analysis of Regional Scince, ©Springer-VerlagGmbHGermany, https://doi.org/10.1007/s00168-018-0875-4, pp. 439-456.
Zhou, Q, Li, B, Chen, Y 2011, ‘Remote sensing change detection and process analysis of long-term land use change and human impacts’, Royal Swedish Academy of Sciences, Springer on behalf of Royal Swedish Academy of Sciences, vol. 40, no. 7, pp. 807-818, https://www.jstor.org/stable/41417339.
Regulations
Law Number 24 of 2007 on Disaster Management
Executive Order Number 10 of 2018 on Acceleration of Rehabilitation and Post-Disaster Reconstruction of the Earthquake and Tsunami in Central Sulawesi Province and Other Affected Areas
Local Government Regulation of District Palu City Number 2 of 2019 on The Organization and Work Procedure of the Regional Disaster Management Agency
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Published
2021-02-02
DIMENSIONS
How to Cite
Utami, W., Wibowo, Y. A., Permadi, F. B., & Jannah, W. (2021). Landsat 8 Imagery Utilization to Spatial Analysis of Rehabilitation and Reconstruction of Palu Disaster in 2018. BHUMI: Jurnal Agraria Dan Pertanahan, 5(3). https://doi.org/10.31292/jb.v5i3.395
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