Pemanfaatan Geogle Earth Engine Untuk Identifikasi Perubahan Suhu Permukaan Daratan Kabupaten Buru Selatan Berbasis Cloud Computing

Authors

  • Fekry Salim Hehanussa Universitas Negeri Yogyakarta
  • Dyah Respati Suryo Sumunar Universitas Negeri Yogyakarta
  • Heinrich Rakuasa Universitas Indonesia

DOI:

https://doi.org/10.59435/gjmi.v1i1.27

Keywords:

Cloud Computing, Geogle Earth

Abstract

Perubahan suhu permukaan daratan menjadi isu kritis dalam menghadapi perubahan iklim global. Kabupaten Buru Selatan, sebagai salah satu wilayah yang rawan terhadap dampak perubahan iklim, membutuhkan penanganan yang tepat untuk mengidentifikasi dan memahami perubahan suhu permukaan daratan secara efisien. Penelitian ini menggunakan Google Earth Engine sebagai platform cloud computing untuk mengidentifikasi perubahan suhu permukaan daratan di Kabupaten Buru Selatan. Data citra satelit MODIS digunakan untuk analisis perubahan suhu permukaan pad tahun 2018 dan 2023. Pendekatan pemrosesan citra berbasis cloud computing memungkinkan analisis data yang cepat dan akurat tanpa memerlukan spesifikasi leptop atau komputer yang tinggi. Hasil penelitian menunjukan bahwa pada tahun 2018 suhu permukaan daratan Kabupaten Buru Selatan dimana suhu terendah yaitu 13, 027℃ dan tertinggi yaitu 29, 138℃ dan mengalami peningkatan suhu ditahun 2023 yaitu 14,143℃ pada suhu terendah dan 33,955℃ pada suhu permukaan tertinggi. Hasil penelitian menunjukan bahwa terjadi peningkatan suhu permukaan daratan di Kabupaten Buru Selatan. Suhu permukaan di di Kabupaten Buru Selatan mengalami peningkatan yang sangat singnifikan di Kecamatan Leksula, Namrole dan Kecamatan Waesama, hal ini disebabkan oleh meningkatnya ekspansi lahan permukiman disana Hasil penelitian ini diharapkan dapat membantu dalam upaya mengatasi dampak perubahan iklim di Kabupaten Buru Selatan dan memberikan kontribusi pada pemahaman global tentang perubahan iklim yang terjadi.

References

Chen, Y., Yang, J., Yu, W., Ren, J., Xiao, X., & Xia, J. C. (2023). Relationship between urban spatial form and seasonal land surface temperature under different grid scales. Sustainable Cities and Society, 89, 104374. https://doi.org/10.1016/j.scs.2022.104374

Çolak, E., & Sunar, F. (2023). Investigating the usefulness of satellite-retrieved land surface temperature (LST) in pre- and post-fire spatial analysis. Earth Science Informatics, 16(1), 945–963. https://doi.org/10.1007/s12145-022-00883-8

Ermida, S. L., Soares, P., Mantas, V., Göttsche, F.-M., & Trigo, I. F. (2020). Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series. Remote Sensing, 12(9), 1471. https://doi.org/10.3390/rs12091471

Fonseka, H. P. U., Zhang, H., Sun, Y., Su, H., Lin, H., & Lin, Y. (2019). Urbanization and Its Impacts on Land Surface Temperature in Colombo Metropolitan Area, Sri Lanka, from 1988 to 2016. Remote Sensing, 11(8), 957. https://doi.org/10.3390/rs11080957

Gadekar, K., Pande, C. B., Rajesh, J., Gorantiwar, S. D., & Atre, A. A. (2023). Estimation of Land Surface Temperature and Urban Heat Island by Using Google Earth Engine and Remote Sensing Data (pp. 367–389). https://doi.org/10.1007/978-3-031-19059-9_14

Gbedzi, D. D., Ofosu, E. A., Mortey, E. M., Obiri-Yeboah, A., Nyantakyi, E. K., Siabi, E. K., Abdallah, F., Domfeh, M. K., & Amankwah-Minkah, A. (2022). Impact of mining on land use land cover change and water quality in the Asutifi North District of Ghana, West Africa. Environmental Challenges, 6, 100441. https://doi.org/https://doi.org/10.1016/j.envc.2022.100441

Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031

Hardyanti, L., Sobirin, S., & Wibowo, A. (2017). Variasi Spasial Temporal Suhu Permukaan Daratan di Kota Jakarta tahun 2015 dan 2016. Prosiding Industrial Research Workshop and National Seminar, 704–713. https://doi.org/https://doi.org/10.35313/irwns.v8i3.613

Heinrich Rakuasa, D. A. S. (2023). Analysis of Vegetation Index in Ambon City Using Sentinel-2 Satellite Image Data with Normalized Difference Vegetation Index (NDVI) Method based on Google Earth Engine. Journal of Innovation Information Technology and Application, 5(1), 74–82. https://doi.org/https://doi.org/10.35970/jinita.v5i1.1869

How Jin Aik, D., Ismail, M. H., Muharam, F. M., & Alias, M. A. (2021). Evaluating the impacts of land use/land cover changes across topography against land surface temperature in Cameron Highlands. PLOS ONE, 16(5), e0252111. https://doi.org/10.1371/journal.pone.0252111

Kafy, A.- Al, Rahman, M. S., Faisal, A.-A.-, Hasan, M. M., & Islam, M. (2020). Modelling future land use land cover changes and their impacts on land surface temperatures in Rajshahi, Bangladesh. Remote Sensing Applications: Society and Environment, 18, 100314. https://doi.org/10.1016/j.rsase.2020.100314

Latue, P. C., & Rakuasa, H. (2023). Analysis of Land Cover Change Due to Urban Growth in Central Ternate District, Ternate City using Cellular Automata-Markov Chain. Journal of Applied Geospatial Information, 7(1), 722–728. https://doi.org/https://doi.org/10.30871/jagi.v7i1.4653

Mardalius, M. (2020, July). Geographic information system mapping spread of COVID-19 with framework codeigniter. In International Conference on Social, Sciences and Information Technology (Vol. 1, No. 1, pp. 7-12).

Latue, P. C., Rakuasa, H., Somae, G., & Muin, A. (2023). Analisis Perubahan Suhu Permukaan Daratan di Kabupaten Seram Bagian Barat Menggunakan Platform Berbasis Cloud Google Earth Engine. Sudo Jurnal Teknik Informatika, 2(2), 45–51. https://doi.org/https://doi.org/10.56211/sudo.v2i2.261

Latue, Philia, C., Manakane, S. E., & Rakuasa, H. (2023). Analisis Perkembangan Kepadatan Permukiman di Kota Ambon Tahun 2013 dan 2023 Menggunakan Metode Kernel Density. Blend Sains Jurnal Teknik, 2(1), 26–34. https://doi.org/10.56211/blendsains.v2i1.272

Latue, P. C., Rakuasa, H., & Sihasale, D. A. (2023). Analisis Kerapatan Vegetasi Kota Ambon Menggunakan Data Citra Satelit Sentinel-2 dengan Metode MSARVI Berbasis Machine Learning pada Google Earth Engine. Sudo Jurnal Teknik Informatika, 2(2), 68–77. https://doi.org/10.56211/sudo.v2i2.270

Li, T., Cao, J., Xu, M., Wu, Q., & Yao, L. (2020). The influence of urban spatial pattern on land surface temperature for different functional zones. Landscape and Ecological Engineering, 16(3), 249–262. https://doi.org/10.1007/s11355-020-00417-8

Li, Z., Wu, H., Duan, S., Zhao, W., Ren, H., Liu, X., Leng, P., Tang, R., Ye, X., Zhu, J., Sun, Y., Si, M., Liu, M., Li, J., Zhang, X., Shang, G., Tang, B., Yan, G., & Zhou, C. (2023). Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications. Reviews of Geophysics, 61(1). https://doi.org/10.1029/2022RG000777

Maffei, C., Alfieri, S., & Menenti, M. (2018). Relating Spatiotemporal Patterns of Forest Fires Burned Area and Duration to Diurnal Land Surface Temperature Anomalies. Remote Sensing, 10(11), 1777. https://doi.org/10.3390/rs10111777

Moazzam, M. F. U., Doh, Y. H., & Lee, B. G. (2022). Impact of urbanization on land surface temperature and surface urban heat Island using optical remote sensing data: A case study of Jeju Island, Republic of Korea. Building and Environment, 222, 109368. https://doi.org/10.1016/j.buildenv.2022.109368

Mulyana, N. F., Usman, F., & Hasyim, A. W. (2023). Pengaruh Perubahan Tutupan Lahan Terhadap Perubahan Suhu Permukaan di Kawasan Perkotaan Karawang. Planning for Urban Region and Environment Journal (PURE), 12(1), 77–84.

NASA. (2022). Moderate Resolution Imaging Spectoradiometer (MODIS). NASA. https://modis.gsfc.nasa.gov/

Onisimo Muntaga, L. K. (2019). Google Earth Engine Applications. Remotesensing, 11–14. https://doi.org/10.3390/rs11050591

Philia, C. L., & Rakuasa, H. (2023). Analysis of Surface Temperature in Buru District Using Cloud Computing on Google Earth Engine: Analisis Suhu Permukaan Di Kabupaten Buru Menggunakan Cloud Computing Pada Google Earth Engine. Journal of Multidisciplinary Science, 2(3), 133–144. https://doi.org/https://doi.org/10.58330/prevenire.v2i3.195

Philia Christi Latue. (2023a). Analisis Spasial Temporal Perubahan Tutupan Lahan di Pulau Ternate Provinsi Maluku Utara Citra Satelit Resolusi Tinggi. Buana Jurnal Geografi, Ekologi Dan Kebencanaan, 1(1), 31–38.

Philia Christi Latue, H. R. (2023b). Analisis Perubahan Suhu Permukaan Daratan di Kecamatan Ternate Tengah Menggunakan Google Earth Engine Berbasis Cloud Computing. E- JOINT ( Electronica and Electrical Journal of Innovation Technology), 4(1), 16–20. https://doi.org/https://doi.org/10.35970/e-joint.v4i1.1901

Prayogo, L. M. (2021). (2023). Platform Google Earth Engine Untuk Pemetaan Suhu Permukaan Daratan Dari Data Series Modis. DoubleClick: Journal of Computer and Information Technology, 5(1), 25–31.

Rakuasa, H., & Pakniany, Y. (2022). Spatial Dynamics of Land Cover Change in Ternate Tengah District, Ternate City, Indonesia. Forum Geografi, 36(2), 126–135. https://doi.org/DOI: 10.23917/forgeo.v36i2.19978

Rakuasa, H., Sihasale , D. A., & Latue, P. C. (2023). Spatial pattern of changes in land surface temperature of seram island based on google earth engine cloud computing. International Journal of Basic and Applied Science, 12(1), 1–9. https://doi.org/https://doi.org/10.35335/ijobas.v12i1.172

Rakuasa, H. (2022). ANALISIS SPASIAL TEMPORAL SUHU PERMUKAAN DARATAN/ LAND SURFACE TEMPERATURE (LST) KOTA AMBON BERBASIS CLOUD COMPUTING: GOOGLE EARTH ENGINE. Jurnal Ilmiah Informatika Komputer, 27(3), 194–205. https://doi.org/10.35760/ik.2022.v27i3.7101

Rakuasa, H., & Pertuack, S. (2023). Pola Perubahan Suhu Permukaan Daratan di Kecamatan Ternate Tengah, Kota Ternate Tahun 2013 dan 2023 Menggunakan Google Earth Engine. Sudo Jurnal Teknik Informatika, 2(2), 78–85. https://doi.org/10.56211/sudo.v2i2.271

Rakuasa, H., Sihasale, D. A., Somae, G., & Latue, P. C. (2023). Prediction of Land Cover Model for Central Ambon City in 2041 Using the Cellular Automata Markov Chains Method. Jurnal Geosains Dan Remote Sensing, 4(1), 1–10. https://doi.org/10.23960/jgrs.2023.v4i1.85

Ruzady Adjis. (2022). Hutan di Kabupaten Buru Terbakar, Angin Kencang Percepat Amukan Kobaran Api. TERASMALUKU.COM,-AMBON. https://terasmaluku.com/headline/2022/08/11/hutan-di-kabupaten-buru-terbakar-angin-kencang-percepat-amukan-kobaran-api/

Salakory, M., Rakuasa, H. (2022). Modeling of Cellular Automata Markov Chain for predicting the carrying capacity of Ambon City. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (JPSL), 12(2), 372–387. https://doi.org/https://doi.org/10.29244/jpsl.12.2.372-387

Sandy Liwan & Philia Christi Latue. (2023). Analisis Spasial Perubahan Suhu Permukaan Daratan Kota Kupang Menggunakan Pendekatan Geospatial Artificial Intelligence (GeoAI). Buana Jurnal Geografi, Ekologi Dan Kebencanaan, 1(1), 14–20.

Stoyanova, J. S., Georgiev, C. G., & Neytchev, P. N. (2022). Satellite Observations of Fire Activity in Relation to Biophysical Forcing Effect of Land Surface Temperature in Mediterranean Climate. Remote Sensing, 14(7), 1747. https://doi.org/10.3390/rs14071747

Tahooni, A., Kakroodi, A. A., & Kiavarz, M. (2023). Monitoring of land surface albedo and its impact on land surface temperature (LST) using time series of remote sensing data. Ecological Informatics, 75, 102118. https://doi.org/10.1016/j.ecoinf.2023.102118

Teklay, A., Dile, Y. T., Asfaw, D. H., Bayabil, H. K., & Sisay, K. (2021). Impacts of Climate and Land Use Change on Hydrological Response in Gumara Watershed, Ethiopia. Ecohydrology & Hydrobiology, 21(2), 315–332. https://doi.org/10.1016/j.ecohyd.2020.12.001

Venäläinen, A., Lehtonen, I., Laapas, M., Ruosteenoja, K., Tikkanen, O., Viiri, H., Ikonen, V., & Peltola, H. (2020). Climate change induces multiple risks to boreal forests and forestry in Finland: A literature review. Global Change Biology, 26(8), 4178–4196. https://doi.org/10.1111/gcb.15183

Wachid, N., & Tyas, W. P. (2022). Analisis Transformasi NDVI dan kaitannya dengan LST Menggunakan Platform Berbasis Cloud: Google Earth Engine. Jurnal Planologi, 19(1), 60. https://doi.org/10.30659/jpsa.v19i1.20199

Zeng, Q., Xie, Y., & Liu, K. (2019). Assessment of the patterns of urban land covers and impervious surface areas: A case study of Shenzhen, China. Physics and Chemistry of the Earth, Parts A/B/C, 110, 1–7. https://doi.org/10.1016/j.pce.2019.04.002

Zhengming Wan. (2020). MOD11A2 v061 MODIS/Terra Land Surface Temperature/Emissivity 8-Day L3 Global 1 km SIN Grid. USGS Website. https://lpdaac.usgs.gov/products/mod11a2v061/

Zulkarnain, R. C. (2016). Pengaruh Perubahan Tutupan Lahan Terhadap Perubahan Suhu Permukaan di Kota Surabaya. Skripsi Institut Teknologi Sepuluh Nopember, 1–306.

Published

2023-07-20

How to Cite

Fekry Salim Hehanussa, Dyah Respati Suryo Sumunar, & Heinrich Rakuasa. (2023). Pemanfaatan Geogle Earth Engine Untuk Identifikasi Perubahan Suhu Permukaan Daratan Kabupaten Buru Selatan Berbasis Cloud Computing. Gudang Jurnal Multidisiplin Ilmu, 1(1), 37–45. https://doi.org/10.59435/gjmi.v1i1.27

Issue

Section

Articles