Analisis Spasial Temporal Perubahan Tutupan Lahan di Kawasan Perkotaan Cekungan Bandung berbasis Google Earth Engine

Main Article Content

Alvian Aji Purboyo
Andri Kurniawan
Luthfi Muta'ali

Abstract

Isu strategis terkait perubahan tutupan lahan menjadi sangat penting di Kawasan Perkotaan Cekungan Bandung (KPCB). Penelitian ini, tujuan penelitian yang dicapai berupa teridentifikasi perubahan tutupan lahan tahun 2003, 2013, dan 2023 di Kawasan Perkotaan Cekungan Bandung. Metode penelitian yang digunakan dalam penelitian berupa penginderaan jauh dengan pendekatan spatial process analysis. Google Earth Engine merupakan platform yang digunakan untuk mengklasifikasi tutupan lahan. Adapun algoritma yang digunakan berupa Random Forest Classifier (RFC). Hasil klasifikasi dari RFC dapat menghasilkan klasifikasi yang sangat baik. Uji akurasi yang dihasilkan berdasarkan overall accuracy dan kappa, tahun 2003 sebesar 0.99:0.98, tahun 2013 sebesar 0.97:0.96, dan tahun 2023 sebesar 0.98:0.97. Selama 20 tahun terakhir, terlihat bahwa kebutuhan lahan terbangun, khususnya untuk tempat tinggal terus meningkat seiring dengan peningkatan jumlah kebutuhan manusia. Perlu perhatian lebih lanjut dalam perencanaan dan pengembangan wilayah guna menjaga keseimbangan antara pertumbuhan perkotaan dan pelestarian lingkungan.

Article Details

Section
Articles

References

Badan Pengelola Cekungan Bandung. 2021. Laporan Tahunan Badan Pengelola Kawasan Perkotaan Cekungan Bandung-Tahun 2021. Laporan. Bandung.

Belgiu, Mariana, and Lucian Drăguţ. 2016. “Random Forest in Remote Sensing: A Review of Applications and Future Directions.” ISPRS Journal of Photogrammetry and Remote Sensing 114:24–31.

Billah, Maruf, AKM Saiful Islam, Wasif Bin Mamoon, and Mohammad Rezaur Rahman. 2023. “Random Forest Classifications for Landuse Mapping to Assess Rapid Flood Damage Using Sentinel-1 and Sentinel-2 Data.” Remote Sensing Applications: Society and Environment 30:100947.

Corcoran, Jennifer M., Joseph F. Knight, and Alisa L. Gallant. 2013. “Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota.” Remote Sensing 5(7):3212–38.

Danoedoro, Projo. 2012. “Pengantar Penginderaan Jauh Digital.” Penerbit Andi, Yogyakarta.

Derajat, Roihan Muhammad, Yesi Sopariah, Syifa Aprilianti, Aditya Candra Taruna, Hangga Aria Rahmawan Tisna, Riki Ridwana, and Dede Sugandi. 2020. “Klasifikasi Tutupan Lahan Menggunakan Citra Landsat 8 Operational Land Imager (OLI) Di Kecamatan Pangandaran.” Jurnal Samudra Geografi 3(1):1–10.

DeVries, Ben, Chengquan Huang, John Armston, Wenli Huang, John W. Jones, and Megan W. Lang. 2020. “Rapid and Robust Monitoring of Flood Events Using Sentinel-1 and Landsat Data on the Google Earth Engine.” Remote Sensing of Environment 240:111664.

Farda, N. M. 2017. “Multi-Temporal Land Use Mapping of Coastal Wetlands Area Using Machine Learning in Google Earth Engine.” P. 012042 in IOP Conference Series: Earth and Environmental Science. Vol. 98. IOP Publishing.

Firman, Tommy. 2009. “The Continuity and Change in Mega-Urbanization in Indonesia: A Survey of Jakarta–Bandung Region (JBR) Development.” Habitat International 33(4):327–39.

Fuadina, Lutfia Nursetya, Ernan Rustiadi, and Andrea Emma Pravitasari. 2021. “Analisis Faktor-Faktor Yang Mempengaruhi Urban Sprawl Di Kawasan Cekungan Bandung.” TATALOKA 23(1):105–14.

Ghimire, B., J. Rogan, and J. Miller. 2010. “Contextual Land-Cover Classification: Incorporating Spatial Dependence in Land-Cover Classification Models Using Random Forests and the Getis Statistic.” Remote Sensing Letters 1(1):45–54. doi: 10.1080/01431160903252327.

Gong, Peng, Jie Wang, Le Yu, Yongchao Zhao, Yuanyuan Zhao, Lu Liang, Zhenguo Niu, Xiaomeng Huang, Haohuan Fu, Shuang Liu, Congcong Li, Xueyan Li, Wei Fu, Caixia Liu, Yue Xu, Xiaoyi Wang, Qu Cheng, Luanyun Hu, Wenbo Yao, Han Zhang, Peng Zhu, Ziying Zhao, Haiying Zhang, Yaomin Zheng, Luyan Ji, Yawen Zhang, Han Chen, An Yan, Jianhong Guo, Liang Yu, Lei Wang, Xiaojun Liu, Tingting Shi, Menghua Zhu, Yanlei Chen, Guangwen Yang, Ping Tang, Bing Xu, Chandra Giri, Nicholas Clinton, Zhiliang Zhu, Jin Chen, and Jun Chen. 2013. “Finer Resolution Observation and Monitoring of Global Land Cover: First Mapping Results with Landsat TM and ETM+ Data.” International Journal of Remote Sensing 34(7):2607–54. doi: 10.1080/01431161.2012.748992.

Gorelick, Noel, Matt Hancher, Mike Dixon, Simon Ilyushchenko, David Thau, and Rebecca Moore. 2017. “Google Earth Engine: Planetary-Scale Geospatial Analysis for Everyone.” Remote Sensing of Environment 202:18–27.

Gubernur Jawa Barat. 2020. “PERGUB Prov. Jawa Barat No. 86 Tahun 2020.”

Guo, Li, Nesrine Chehata, Clément Mallet, and Samia Boukir. 2011. “Relevance of Airborne Lidar and Multispectral Image Data for Urban Scene Classification Using Random Forests.” ISPRS Journal of Photogrammetry and Remote Sensing 66(1):56–66.

Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, and T. R. Loveland. 2021. “High-Resolution Global Maps.”

Ismanto, Rido Dwi, Hana Listi Fitriana, Johannes Manalu, Alvian Aji Purboyo, and Indah Prasasti. 2023. “Development of Flood-Hazard-Mapping Model Using Random Forest and Frequency Ratio in Sumedang Regency, West Java, Indonesia.” Geomatics & Environmental Engineering 17(6).

Jaya, INS. 2002. Penginderaan Jauh Satelit Untuk Kehutanan Jurusan Manajemen Hutan. Bogor: Fakultas Kehutanan IPB.

Kamal, Muhammad, Ilham Jamaluddin, Artha Parela, and Nur Mohammad Farda. 2019. “Comparison of Google Earth Engine (GEE)-Based Machine Learning Classifiers for Mangrove Mapping.” Pp. 1–8 in Proceedings of the 40th Asian Conference Remote Sensing, ACRS.

Kumar, Lalit, and Onisimo Mutanga. 2018. “Google Earth Engine Applications since Inception: Usage, Trendds, and Potential.” Remote Sensing 10(10):1509.

Kustiwan, Iwan, and Almira Ladimananda. 2016. “Pemodelan Dinamika Perkembangan Perkotaan Dan Daya Dukung Lahan Di Kawasan Cekungan Bandung.” TATALOKA 14(2):98–112. doi: 10.14710/tataloka.14.2.98-112.

Latue, Philia Christi, and Heinrich Rakuasa. 2023. “Analisis Spasial Daya Dukung Lahan Permukiman Di Kota Ternate.” Jurnal Ilmiah Multidisiplin 2(03):12–16. doi: 10.56127/jukim.v2i03.601.

Lillesand, T., R. W. Kiefer, and J. Chipman. 2015. Remote Sensing and Image Interpretation. New York: John Wiley & Sons.

Mondal, Ismail, Sandeep Thakur, Phanibhusan Ghosh, Tarun Kumar De, and Jatisankar Bandyopadhyay. 2019. “Land Use/Land Cover Modeling of Sagar Island, India Using Remote Sensing and GIS Techniques.” Pp. 771–85 in Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2018, Volume 1. Springer.

Peerbhay, Kabir Yunus, Onisimo Mutanga, and Riyad Ismail. 2015. “Random Forests Unsupervised Classification: The Detection and Mapping of Solanum Mauritianum Infestations in Plantation Forestry Using Hyperspectral Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8(6):3107–22.

Presiden Republik Indonesia. 2018. “Peraturan Preseiden Republik Indonesia Nomor 45 Tahun 2018 Tentang Rencana Tata Ruang Kawasan Perkotaan Cekungan Bandung.”

Rudiastuti, Aninda Wisaksanti, Nur Mohammad Farda, and Dadan Ramdani. 2021. “Mapping Built-up Land and Settlements: A Comparison of Machine Learning Algorithms in Google Earth Engine.” Pp. 42–52 in Seventh Geoinformation Science Symposium 2021. Vol. 12082. SPIE.

Shao, Yang, James B. Campbell, Gregory N. Taff, and Baojuan Zheng. 2015. “An Analysis of Cropland Mask Choice and Ancillary Data for Annual Corn Yield Forecasting Using MODIS Data.” International Journal of Applied Earth Observation and Geoinformation 38:78–87.

Sugandi, Dede, Iwan Setiawan, and Nanin Trianawati Sugito. 2016. “Application Remote Sensing To Analysis Bandung Basin Landuse.” PONTE International Scientific Researchs Journal 72(8). doi: 10.21506/j.ponte.2016.8.38.

Tang, Zhenghong, Yao Li, Yue Gu, Weiguo Jiang, Yuan Xue, Qiao Hu, Ted LaGrange, Andy Bishop, Jeff Drahota, and Ruopu Li. 2016. “Assessing Nebraska Playa Wetland Inundation Status during 1985–2015 Using Landsat Data and Google Earth Engine.” Environmental Monitoring and Assessment 188:1–14.

Thakur, Sandeep, Debapriya Maity, Ismail Mondal, Ganesh Basumatary, Phani Bhushan Ghosh, Papita Das, and Tarun Kumar De. 2021. “Assessment of Changes in Land Use, Land Cover, and Land Surface Temperature in the Mangrove Forest of Sundarbans, Northeast Coast of India.” Environment, Development and Sustainability 23(2):1917–43. doi: 10.1007/s10668-020-00656-7.

Thakur, Sandeep, Ismail Mondal, Somnath Bar, Subhanil Nandi, P. B. Ghosh, P. Das, and T. K. De. 2021. “Shoreline Changes and Its Impact on the Mangrove Ecosystems of Some Islands of Indian Sundarbans, North-East Coast of India.” Journal of Cleaner Production 284:124764.

Tiwari, Varun, Vinay Kumar, Mir Abdul Matin, Amrit Thapa, Walter Lee Ellenburg, Nishikant Gupta, and Sunil Thapa. 2020. “Flood Inundation Mapping-Kerala 2018; Harnessing the Power of SAR, Automatic Threshold Detection Method and Google Earth Engine.” PLoS One 15(8):e0237324.

Wajdi, R. 2021. “Daya Dukung Dan Daya Tampung Lingkungan Hidup Berbasis Jasa Ekosistem Di Kawasan Cekungan Bandung.” FTSP 904–15.

Yulianto, Fajar, Suwarsono Suwarsono, and Sayidah Sulma. 2019. “Improving the Accuracy and Reliability of Land Use/Land Cover Simulation by the Integration of Markov Cellular Automata and Landform-Based Models _ a Case Study in the Upstream Citarum Watershed, West Java, Indonesia.” Journal of Degraded and Mining Lands Management 6(2):1675.

Yunus, Hadi Sabari. 2010. Metodologi Penelitian Wilayah Kontemporer. Pustaka Belajar.