Spatio-Temporal Analysis Of Yogyakarta Internasional Airport Development Impact On LULC And LST In Kulon Progo
Abstract
Yogyakarta Internasional Airport (YIA) development is predicted to trigger massive development in Kulon Progo Regency, whether for the infrastructure or supporting facilities development. Land conversion from densely vegetated land into less dense vegetated land, i.e., forest or garden to built-up areas, is determined to increase Land Surface Temperature (LST). This research studied the spatiotemporal change of LULC and LST change in Kulon Progo Regency by employing Landsat 8 data for three periods respectively, before the development (2013), at the start of construction (2017), and after the YIA fully operated (2021). The spatial pattern of LST was also investigated using spatial statistics, namely, Global Moran’s I, to identify spatial autocorrelation and Hot Spots Analysis (Getis-Ord G*) to determine the spatial patterns or clusters. The findings showed that since the YIA development, the built-up area and bare land increased significantly (quadruple), while agriculture reduced dramatically by 14%. Furthermore, the LST was closely related to the LULC, where the high LST was located in the built-up area and bare land (32 ºC -38ºC), while the low LST was located in the forest (27ºC-31ºC). Moran’s I index, around 0.9 (close to 1), indicates a positive spatial autocorrelation, while the p-value (0.00) indicates that the LST was significantly clustered. Indeed, Hot Spot Analysis (Getis-Ord Gi*) revealed that the high-temperature areas clustered (hot spot) along the coastal and urban areas, while low-temperature areas clustered around Menoreh Hills.
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References
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Bamrungkhul, S., & Tanaka, T. (2022). The assessment of land suitability for urban development in the anticipated rapid urbanization area from the Belt and Road Initiative: A case study of Nong Khai City, Thailand. Sustainable Cities and Society, 83, 103988. https://doi.org/10.1016/J.SCS.2022.103988
Dahlia, S. (2021). Analisis Pola Spasial Pesebaran Kasus Covid-19 Menggunakan Sistem Informasi Geografis Di DKI Jakarta. Jurnal Geografi, Edukasi Dan Lingkungan (JGEL), 5(2), 101–108. https://doi.org/10.22236/jgel.v5i2.7098
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EPA. (2011). Reducing Urban Heat Islands: Compendium of Strategies. In Reducing Urban Heat Islands: Compendium of Strategies.
ESRI. (2023a). How Hot Spot Analysis (Getis-Ord Gi*) works. https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/h-how-hot-spot-analysis-getis-ord-gi-spatial-stati.htm
ESRI. (2023b). How Spatial Autocorrelation (Global Moran’s I) works. https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/h-how-spatial-autocorrelation-moran-s-i-spatial-st.htm
Estoque, R. C., Murayama, Y., & Myint, S. W. (2017). Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia. Science of the Total Environment, 577, 349–359. https://doi.org/10.1016/j.scitotenv.2016.10.195
Fischer, M. ., & Getis, A. (2010). Handbook of Applied Spatial Analysis: Software Tools, Methods and Applications. Springer Verlag.
RPJMD Kabupaten Kulon Progo Tahun 2017-2022, Pemerintah Kabupaten Kulon Progo 563 (2017). http://www.dof.gov.my/en/c/document_library/get_file?uuid=e25cce1e-4767-4acd-afdf-67cb926cf3c5&groupId=558715
Ha, T. V., Tuohy, M., Irwin, M., & Tuan, P. V. (2020). Monitoring and mapping rural urbanization and land use changes using Landsat data in the northeast subtropical region of Vietnam. Egyptian Journal of Remote Sensing and Space Science, 23(1), 11–19. https://doi.org/10.1016/j.ejrs.2018.07.001
Igun, E., & Williams, M. (2018). Impact of urban land cover change on land surface temperature. Global Journal of Environmental Science and Management, 4(1), 47–58. https://doi.org/10.22034/gjesm.2018.04.01.005
Indrawati, D. M., Suharyadi, S., & Widayani, P. (2020). Analisis Pengaruh Kerapatan Vegetasi Terhadap Suhu Permukaan dan Keterkaitannya Dengan Fenomena UHI. Media Komunikasi Geografi, 21(1), 99. https://doi.org/10.23887/mkg.v21i1.24429
Jati, B. A. E. K., Akbar, M. F. Al, Wahyuni, T., Khasanah, E. U., Paramanandi, A. R. G., Sutiono, H. E. C. P., Setyaningsih, D. P., Widyatmanti, W., & Wibowo, T. W. (2023). Analysis of Tsunami Evacuation Route Planning in Kulon Progo Regency. International Journal of Remote Sensing and Earth Sciences (IJReSES), 20(1), 16. https://doi.org/10.30536/j.ijreses.2023.v20.a3823
Krishnan, P., Kochendorfer, J., Dumas, E. J., Guillevic, P. C., Baker, C. B., Meyers, T. P., & Martos, B. (2015). Comparison of in-situ, aircraft, and satellite land surface temperature measurements over a NOAA Climate Reference Network site. Remote Sensing of Environment, 165, 249–264. https://doi.org/10.1016/j.rse.2015.05.011
Kumari, M., Sarma, K., & Sharma, R. (2019). Using Moran’s I and GIS to study the spatial pattern of land surface temperature in relation to land use/cover around a thermal power plant in Singrauli district, Madhya Pradesh, India. Remote Sensing Applications: Society and Environment, 15. https://doi.org/10.1016/j.rsase.2019.100239
Latif, M. S. (2014). Land Surface Temperature Retrival of Landsat-8 Data Using Split Window Algorithm- A Case Study of Ranchi District. Internal Journal of Engineering Development and Research, 2(4), 3840–3849.
Li, W., Wang, D., Liu, S., & Zhu, Y. (2019). Measuring urbanization-occupation and internal conversion of peri-urban cultivated land to determine changes in the peri-urban agriculture of the black soil region. Ecological Indicators, 102, 328–337. https://doi.org/10.1016/j.ecolind.2019.02.055
Liang, J., Xie, Y., Sha, Z., & Zhou, A. (2020). Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE). Computers, Environment and Urban Systems, 84(March), 101542. https://doi.org/10.1016/j.compenvurbsys.2020.101542
Mohammad, P., Goswami, A., Chauhan, S., & Nayak, S. (2022). Machine learning algorithm based prediction of land use land cover and land surface temperature changes to characterize the surface urban heat island phenomena over Ahmedabad city, India. Urban Climate, 42(July 2021), 101116. https://doi.org/10.1016/j.uclim.2022.101116
Naikoo, M. W., Rihan, M., Ishtiaque, M., & Shahfahad. (2020). Analyses of land use land cover (LULC) change and built-up expansion in the suburb of a metropolitan city: Spatio-temporal analysis of Delhi NCR using landsat datasets. Journal of Urban Management, 9(3), 347–359. https://doi.org/10.1016/j.jum.2020.05.004
Nando, F. H. (2021). Perubahan Kondisi Variasi Land Surface Temperature di Masa Pandemi Covid-19 (Studi Kasus: Kota Kediri, Jawa Timur). Jurnal Geografi, Edukasi Dan Lingkungan (JGEL), 5(2), 92–100. https://doi.org/10.22236/jgel.v5i2.7032
Njoku, E. A., & Tenenbaum, D. E. (2022). Quantitative assessment of the relationship between land use/land cover (LULC), topographic elevation and land surface temperature (LST) in Ilorin, Nigeria. Remote Sensing Applications: Society and Environment, 27, 100780. https://doi.org/10.1016/j.rsase.2022.100780
Nugraha, Gunawan, T., & Kamal, M. (2019). Comparison of Land Surface Temperature Derived from Landsat 7 ETM+ and Landsat 8 OLI/TIRS for Drought Monitoring. IOP Conference Series: Earth and Environmental Science, 313(1). https://doi.org/10.1088/1755-1315/313/1/012041
Nugraha, I. C., Siti Fatimah, Belia Fransiska, & Endriana Prasetyawati. (2022). Bela Beli Kulon Progo Sebagai Sebuah Model Endogenous Development. Jurnal Litbang Sukowati : Media Penelitian Dan Pengembangan, 6(1), 123–140. https://doi.org/10.32630/sukowati.v6i1.333
Nugroho, A. D., Prasada, I. M. Y., Putri, S. K., Anggrasari, H., & Sari, P. N. (2018). Rantai Nilai Cabai di Lahan Pasir Pantai Kabupaten Kulon Progo. Economics Development Analysis Journal, 7(4), 458–467. https://doi.org/10.15294/edaj.v7i4.25013
Ochoa, J. J., Tan, Y., Qian, Q. K., Shen, L., & Moreno, E. L. (2018). Learning from best practices in sustainable urbanization. Habitat International, 78, 83–95. https://doi.org/10.1016/J.HABITATINT.2018.05.013
Olorunfemi, I. E., Fasinmirin, J. T., Olufayo, A. A., & Komolafe, A. A. (2020). GIS and remote sensing-based analysis of the impacts of land use/land cover change (LULCC) on the environmental sustainability of Ekiti State, southwestern Nigeria. Environment, Development and Sustainability, 22(2), 661–692. https://doi.org/10.1007/s10668-018-0214-z
Pradhan, B., Al-sharif, A. A. A., & Abdullahi, S. (2017). Urban sprawl assessment. In Spatial Modeling and Assessment of Urban Form: Analysis of Urban Growth: From Sprawl to Compact Using Geospatial Data. https://doi.org/10.1007/978-3-319-54217-1_4
Prastyo, F. U., Nurjani, E., & Giyarsih, S. R. (2022). Distribusi Spasial Surface Urban Heat Island (SUHI) Kawasan Permukiman Perkotaan di Kota Yogyakarta. Media Komunikasi Geografi, 23(1), 73–83. https://doi.org/10.23887/mkg.v23i1.34300
Pratiwi, R. D., Fatimah, I. S., & Munandar, A. (2018). Spatial planning for green infrastructure in Yogyakarta City based on land surface temperature. IOP Conference Series: Earth and Environmental Science, 179(1). https://doi.org/10.1088/1755-1315/179/1/012004
Punzo, G., Castellano, R., & Bruno, E. (2022). Using geographically weighted regressions to explore spatial heterogeneity of land use influencing factors in Campania (Southern Italy). Land Use Policy, 112(September 2021), 105853. https://doi.org/10.1016/j.landusepol.2021.105853
Roy, L., & Das, S. (2021). GIS-based landform and LULC classifications in the Sub-Himalayan Kaljani Basin: Special reference to 2016 Flood. Egyptian Journal of Remote Sensing and Space Science, 24(3), 755–767. https://doi.org/10.1016/j.ejrs.2021.06.005
Rustiadi, E., Pravitasari, A. E., Setiawan, Y., Mulya, S. P., Pribadi, D. O., & Tsutsumida, N. (2021). Impact of continuous Jakarta megacity urban expansion on the formation of the Jakarta-Bandung conurbation over the rice farm regions. Cities, 111, 103000. https://doi.org/10.1016/j.cities.2020.103000
Sam, S. C., & Balasubramanian, G. (2023). Spatiotemporal detection of land use/land cover changes and land surface temperature using Landsat and MODIS data across the coastal Kanyakumari district, India. Geodesy and Geodynamics, 14(2), 172–181. https://doi.org/10.1016/j.geog.2022.09.002
Saputra, M. H., & Lee, H. S. (2019). Prediction of land use and land cover changes for North Sumatra, Indonesia, using an artificial-neural-network-based cellular automaton. Sustainability (Switzerland), 11(11), 1–16. https://doi.org/10.3390/su11113024
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Authors
Jauhari, A., Setyo Aji, D., Kio Hafidz, I., Rizka Novareka, A., Ajeng Oktaviani, D., & Rico Oktavian, A. (2024). Spatio-Temporal Analysis Of Yogyakarta Internasional Airport Development Impact On LULC And LST In Kulon Progo. Jurnal Geografi, Edukasi Dan Lingkungan (JGEL), 8(2), 111–126. https://doi.org/10.22236/jgel.v8i2.13128
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