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Utilizing Remote Sensing for Land Change and Night Lights in Urbanization: Correlation between Built-Up Area Expansion in Berau City and Changes in Climate Parameters
Corresponding Author(s) : Syaiful Muflichin Purnama
Geomatics and Environmental Engineering,
Vol. 20 No. 1 (2026): Geomatics and Environmental Engineering
Abstract
This study explores the relationship between population growth and urban expansion as well as their impacts on climate and environmental parameters in Berau Regency, Indonesia. Using night-light data and land use/land cover (LULC) analysis from 2019 through 2023, the research identified significant urban growth, with night-lit areas doubling and a population increase from 232,290 to 280,990. Urban expansion led to notable land conversion, reducing vegetated areas by 18,202.38 ha, while built-up and open land grew by 11,768.6 ha and 5,989.74 ha, respectively. These changes impacted environmental conditions, with non-vegetated areas experiencing higher land-surface temperatures (31–34°C) and lower rainfall (5,000–6,000 mm/year ) compared to the cooler and wetter vegetated areas (20–21°C; 7,000–8,000 mm/year ). The findings emphasized vegetation’s role in regulating temperature and rainfall, highlighting the environmental risks of urbanization and the need for sustainable land management to mitigate climate impacts in growing cities.
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- Irawan H., Hartono D.: Impact of urbanization on energy intensity in Indonesia: Spatial analysis. Jurnal Perencanaan Pembangunan – The Indonesian Journal of Development Planning (JPP), vol. 6(2), 2022, pp. 202–215. https://doi.org/10.36574/jpp.v6i2.309.
- Hotswadi, Rarasati I., Nuzulia N.: Investigation of the impact of the development of the Nusantara Capital City (IKN): Economic growth, output and employment. Jurnal Ilmu Ekonomi, vol. 9(3), 2025, pp. 295–314. https://doi.org/10.22219/jie.v9i03.41926.
- Forbes V.L., Hamzah B.A.: Relocating capital city to Nusantara will enhance regional shipping. Indonesian Quarterly, vol. 51(1), 2023, pp. 6–27. https://journals.csis.or.id/index.php/iq/article/view/1884.
- Syaban A.S.N., Appiah-Opoku S.: Unveiling the complexities of land use transition in Indonesia’s New Capital City IKN Nusantara: A multidimensional conflict analysis. Land, vol. 13(5), 2024, 606. https://doi.org/10.3390/land13050606.
- BPS Kabupaten Berau [Statistics Indonesia of Berau]: Kabupaten Berau dalam Angka 2021 [Berau Regency in Figures 2021]. Berau 2021. https://beraukab.bps.go.id/id/publication/2021/02/26/f44b8329451b580830f5ed0e/kabupaten-berau-dalam-angka-2021.html [access: October 4, 2024].
- Fan C., Tian L., Zhou L.: Examining the impacts of urban form on air pollutant emissions: Evidence from China. Journal of Environmental Management, vol. 212, 2018, pp. 405–414. https://doi.org/10.1016/j.jenvman.2018.02.001.
- Pierri Daunt A.B., Sanna Freire Silva T., Bürgi M., Hersperger A.M.: Urban expansion and forest reserves: Drivers of change and persistence on the coast of São Paulo State (Brazil). Land Use Policy, vol. 101, 2021, 105189. https://doi.org/10.1016/j.landusepol.2020.105189.
- Dai X., Wang L., Huang C.: Spatio-temporal variations of ecosystem services in the urban agglomerations in the middle reaches of the Yangtze River. Science of The Total Environment, vol. 747, 2020, 141541. https://doi.org/10.1016/j.scitotenv.2020.141541.
- Dupras J., Alam M.: Urban sprawl and ecosystem services: A half-century perspective in the Montreal area (Quebec, Canada). Journal of Environmental Policy & Planning, vol. 17(2), 2015, pp. 180–200. https://doi.org/10.1080/1523908X.2014.927755.
- Halefom A., He Y., Nemoto T., Feng L., Li R., Raghavan V., Jing G., Song X., Duan Z.: The impact of urbanization-induced land use change on land surface temperature. Remote Sensing, vol. 16(23), 2024, 4502. https://doi.org/10.3390/rs16234502.
- Rendana M., Idris W.M.R., Abdul Rahim S., Abdo H.G., Almohamad H., Al Dughairi A.A., Al-Mutiry M.: Relationships between land use types and urban heat island intensity in Hulu Langat district, Selangor, Malaysia. Ecological Processes, vol. 12(1), 2023, 33. https://doi.org/10.1186/s13717-023-00446-9.
- Zhao L., Fan X., Hong T.: Urban heat island effect: Remote sensing monitoring and assessment – methods, applications, and future directions. Atmosphere, vol. 16(7), 2025, 791. https://doi.org/10.3390/atmos16070791.
- Zheng Q., Seto K.C., Zhou Y., You S., Weng Q.: Nighttime light remote sensing for urban applications: Progress, challenges, and prospects. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 202, 2023, pp. 125–141. https://doi.org/10.1016/j.isprsjprs.2023.05.028.
- Elvidge C.D., Baugh K., Zhizhin M., Hsu F.C., Ghosh T.: VIIRS night-time lights. International Journal of Remote Sensing, vol. 38(21), 2017, pp. 5860–5879. https://doi.org/10.1080/01431161.2017.1342050.
- Hasan S., Shi W., Zhu X., Abbas S.: Monitoring of land use/land cover and socioeconomic changes in South China over the last three decades using Landsat and nighttime light data. Remote Sensing, vol. 11(14), 2019, 1658. https://doi.org/10.3390/rs11141658.
- Huang Q., Yang X., Gao B., Yang Y., Zhao Y.: Application of DMSP/OLS nighttime light images: A meta-analysis and a systematic literature review. Remote Sensing, vol. 6(8), 2014, pp. 6844–6866. https://doi.org/10.3390/rs6086844.
- Shi K., Ma J., Chen Z., Cui Y., Yu B.: Nighttime light remote sensing in characterizing urban spatial structure. The Innovation Geoscience, vol. 1(3), 2023, 100043. https://doi.org/10.59717/j.xinn-geo.2023.100043.
- Badan Standardisasi Nasional (BSN): Klasifikasi Penutup Lahan [Land Cover Classification]. Standard Nasional Indonesia (SNI) 7645-2010, Jakarta 2010.
- Jensen J.R.: Remote Sensing of the Environment: An Earth Resource Perspective (2nd ed.). Prentice Hall (Pearson), Upper Saddle River 2007.
- Townshend J.R.G., Huang C., Kalluri S.N.V., Defries R.S., Liang S., Yang K.: Beware of per-pixel characterization of land cover. International Journal of Remote Sensing, vol. 21(4), 2000, pp. 839–843. https://doi.org/10.1080/014311600210641.
- Elvidge C.D., Baugh K., Zhizhin M., Hsu F.C., Ghosh T.: VIIRS night-time lights. International Journal of Remote Sensing, vol. 38(21), 2017, pp. 5860–5879. https://doi.org/10.1080/01431161.2017.1342050.
- Zhuang Q., Shao Z., Li D.: Impact of global urban expansion on the terrestrial vegetation carbon sequestration capacity. Science of The Total Environment, vol. 879, 2023, 163074. https://doi.org/10.1016/j.scitotenv.2023.163074.
- Wei X., Zhang W., Zhang Z., Huang H., Meng L.: Urban land use land cover classification based on GF-6 satellite imagery and multi-feature optimization. Geocarto International, vol. 38(1), 2023, 2236579. https://doi.org/10.1080/10106049.2023.2236579.
- Dissanayake D., Morimoto T., Murayama Y., Ranagalage M., Handayani H.H.: Impact of urban surface characteristics and socio-economic variables on the spatial variation of land surface temperature in Lagos City, Nigeria. Sustainability, vol. 11(1), 2018, 25. https://doi.org/10.3390/su11010025.
- Kii M., Matsumoto K., Sugita S.: Future scenarios of urban nighttime lights: A method for global cities and its application to urban expansion and carbon emission estimation. Remote Sensing, vol. 16(6), 2024, 1018. https://doi.org/10.3390/rs16061018.
- Bruederle A., Hodler R.: Nighttime lights as a proxy for human development at the local level. PLOS One, vol. 13(9), 2018, e0202231. https://doi.org/10.1371/journal.pone.0202231.
- Chen X.: Nighttime lights and population migration: Revisiting classic demographic perspectives with an analysis of recent European data. Remote Sensing, vol. 12(1), 2020, 169. https://doi.org/10.3390/rs12010169.
- Dong B., Zhang R., Li S., Ye Y., Huang C.: A meta-analysis for the nighttime light remote sensing data applied in urban research: Key topics, hotspot study areas and new trends. Science of Remote Sensing, vol. 11, 2025, 100186. https://doi.org/10.1016/j.srs.2024.100186.
- Aji A., Husna V.N., Purnama S.M.: Multi-temporal data for land use change analysis using a machine learning approach (Google Earth Engine). International Journal of Geoinformatics, vol. 20(4), 2024, 3145. https://doi.org/10.52939/ijg.v20i4.3145.
- Gandharum L., Hartono D.M., Karsidi A., Ahmad M.: Monitoring urban expansion and loss of agriculture on the north coast of West Java Province, Indonesia, using Google Earth Engine and intensity analysis. The Scientific World Journal, vol. 2022, 2022, 3123788. https://doi.org/10.1155/2022/3123788.
- Danniswari D., Honjo T., Furuya K.: Land cover change impacts on land surface temperature in Jakarta and its satellite cities. IOP Conference Series: Earth and Environmental Science, vol. 501(1), 2020, 012031. https://doi.org/10.1088/1755-1315/501/1/012031.
- Ariska M., Suhadi, Supari, Irfan M., Iskandar I.: Spatio-temporal variations of Indonesian rainfall and their links to Indo-Pacific modes. Atmosphere, vol. 15(9), 2024, 1036. https://doi.org/10.3390/atmos15091036.
- Dissanayake D., Morimoto T., Murayama Y., Ranagalage M., Handayani H.H.: Impact of urban surface characteristics and socio-economic variables on the spatial variation of land surface temperature in Lagos City, Nigeria. Sustainability, vol. 11(1), 2018, 25. https://doi.org/10.3390/su11010025.
- Huang B., Huang Y., Wu D., Bao X., Wu Y.: The influence of vegetation on climate elements in Northwestern China. Atmosphere, vol. 15(3), 2024, 325. https://doi.org/10.3390/atmos15030325.
- Patel S., Indraganti M., Jawarneh R.: Land surface temperature response to land use dynamics in urban areas of Doha, Qatar. Sustainable Cities and Society, vol. 104, 2024, 105273. https://doi.org/10.1016/j.scs.2024.105273.
- Ren H., Wen Z., Liu Y., Lin Z.: Vegetation response to changes in climate across different climate zones in China. Ecological Indicators, vol. 155, 2023, 110996. https://doi.org/10.1016/j.ecolind.2023.110932.
- Derdouri A., Wang R., Murayama Y., Osaragi T.: Understanding the links between LULC changes and SUHI in cities: Insights from two-decadal studies (2001–2020). Remote Sensing, vol. 13(18), 2021, 3654. https://doi.org/10.3390/rs13183654.
- Miralles D.G., Vilà-Guerau de Arellano J., McVicar T.R., Mahecha M.D.: Vegetation-climate feedbacks across scales. Annals of the New York Academy of Sciences, vol. 1544(1), 2025, pp. 27–41. https://doi.org/10.1111/nyas.15286.
- Martinuzzi F., Mahecha M., Camps-Valls G., Montero D.: Learning extreme vegetation response to climate drivers with recurrent neural networks. Nonlinear Processes in Geophysics, vol. 31(4), 2024, pp. 535–557. https://doi.org/10.5194/npg-31-535-2024.
References
Irawan H., Hartono D.: Impact of urbanization on energy intensity in Indonesia: Spatial analysis. Jurnal Perencanaan Pembangunan – The Indonesian Journal of Development Planning (JPP), vol. 6(2), 2022, pp. 202–215. https://doi.org/10.36574/jpp.v6i2.309.
Hotswadi, Rarasati I., Nuzulia N.: Investigation of the impact of the development of the Nusantara Capital City (IKN): Economic growth, output and employment. Jurnal Ilmu Ekonomi, vol. 9(3), 2025, pp. 295–314. https://doi.org/10.22219/jie.v9i03.41926.
Forbes V.L., Hamzah B.A.: Relocating capital city to Nusantara will enhance regional shipping. Indonesian Quarterly, vol. 51(1), 2023, pp. 6–27. https://journals.csis.or.id/index.php/iq/article/view/1884.
Syaban A.S.N., Appiah-Opoku S.: Unveiling the complexities of land use transition in Indonesia’s New Capital City IKN Nusantara: A multidimensional conflict analysis. Land, vol. 13(5), 2024, 606. https://doi.org/10.3390/land13050606.
BPS Kabupaten Berau [Statistics Indonesia of Berau]: Kabupaten Berau dalam Angka 2021 [Berau Regency in Figures 2021]. Berau 2021. https://beraukab.bps.go.id/id/publication/2021/02/26/f44b8329451b580830f5ed0e/kabupaten-berau-dalam-angka-2021.html [access: October 4, 2024].
Fan C., Tian L., Zhou L.: Examining the impacts of urban form on air pollutant emissions: Evidence from China. Journal of Environmental Management, vol. 212, 2018, pp. 405–414. https://doi.org/10.1016/j.jenvman.2018.02.001.
Pierri Daunt A.B., Sanna Freire Silva T., Bürgi M., Hersperger A.M.: Urban expansion and forest reserves: Drivers of change and persistence on the coast of São Paulo State (Brazil). Land Use Policy, vol. 101, 2021, 105189. https://doi.org/10.1016/j.landusepol.2020.105189.
Dai X., Wang L., Huang C.: Spatio-temporal variations of ecosystem services in the urban agglomerations in the middle reaches of the Yangtze River. Science of The Total Environment, vol. 747, 2020, 141541. https://doi.org/10.1016/j.scitotenv.2020.141541.
Dupras J., Alam M.: Urban sprawl and ecosystem services: A half-century perspective in the Montreal area (Quebec, Canada). Journal of Environmental Policy & Planning, vol. 17(2), 2015, pp. 180–200. https://doi.org/10.1080/1523908X.2014.927755.
Halefom A., He Y., Nemoto T., Feng L., Li R., Raghavan V., Jing G., Song X., Duan Z.: The impact of urbanization-induced land use change on land surface temperature. Remote Sensing, vol. 16(23), 2024, 4502. https://doi.org/10.3390/rs16234502.
Rendana M., Idris W.M.R., Abdul Rahim S., Abdo H.G., Almohamad H., Al Dughairi A.A., Al-Mutiry M.: Relationships between land use types and urban heat island intensity in Hulu Langat district, Selangor, Malaysia. Ecological Processes, vol. 12(1), 2023, 33. https://doi.org/10.1186/s13717-023-00446-9.
Zhao L., Fan X., Hong T.: Urban heat island effect: Remote sensing monitoring and assessment – methods, applications, and future directions. Atmosphere, vol. 16(7), 2025, 791. https://doi.org/10.3390/atmos16070791.
Zheng Q., Seto K.C., Zhou Y., You S., Weng Q.: Nighttime light remote sensing for urban applications: Progress, challenges, and prospects. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 202, 2023, pp. 125–141. https://doi.org/10.1016/j.isprsjprs.2023.05.028.
Elvidge C.D., Baugh K., Zhizhin M., Hsu F.C., Ghosh T.: VIIRS night-time lights. International Journal of Remote Sensing, vol. 38(21), 2017, pp. 5860–5879. https://doi.org/10.1080/01431161.2017.1342050.
Hasan S., Shi W., Zhu X., Abbas S.: Monitoring of land use/land cover and socioeconomic changes in South China over the last three decades using Landsat and nighttime light data. Remote Sensing, vol. 11(14), 2019, 1658. https://doi.org/10.3390/rs11141658.
Huang Q., Yang X., Gao B., Yang Y., Zhao Y.: Application of DMSP/OLS nighttime light images: A meta-analysis and a systematic literature review. Remote Sensing, vol. 6(8), 2014, pp. 6844–6866. https://doi.org/10.3390/rs6086844.
Shi K., Ma J., Chen Z., Cui Y., Yu B.: Nighttime light remote sensing in characterizing urban spatial structure. The Innovation Geoscience, vol. 1(3), 2023, 100043. https://doi.org/10.59717/j.xinn-geo.2023.100043.
Badan Standardisasi Nasional (BSN): Klasifikasi Penutup Lahan [Land Cover Classification]. Standard Nasional Indonesia (SNI) 7645-2010, Jakarta 2010.
Jensen J.R.: Remote Sensing of the Environment: An Earth Resource Perspective (2nd ed.). Prentice Hall (Pearson), Upper Saddle River 2007.
Townshend J.R.G., Huang C., Kalluri S.N.V., Defries R.S., Liang S., Yang K.: Beware of per-pixel characterization of land cover. International Journal of Remote Sensing, vol. 21(4), 2000, pp. 839–843. https://doi.org/10.1080/014311600210641.
Elvidge C.D., Baugh K., Zhizhin M., Hsu F.C., Ghosh T.: VIIRS night-time lights. International Journal of Remote Sensing, vol. 38(21), 2017, pp. 5860–5879. https://doi.org/10.1080/01431161.2017.1342050.
Zhuang Q., Shao Z., Li D.: Impact of global urban expansion on the terrestrial vegetation carbon sequestration capacity. Science of The Total Environment, vol. 879, 2023, 163074. https://doi.org/10.1016/j.scitotenv.2023.163074.
Wei X., Zhang W., Zhang Z., Huang H., Meng L.: Urban land use land cover classification based on GF-6 satellite imagery and multi-feature optimization. Geocarto International, vol. 38(1), 2023, 2236579. https://doi.org/10.1080/10106049.2023.2236579.
Dissanayake D., Morimoto T., Murayama Y., Ranagalage M., Handayani H.H.: Impact of urban surface characteristics and socio-economic variables on the spatial variation of land surface temperature in Lagos City, Nigeria. Sustainability, vol. 11(1), 2018, 25. https://doi.org/10.3390/su11010025.
Kii M., Matsumoto K., Sugita S.: Future scenarios of urban nighttime lights: A method for global cities and its application to urban expansion and carbon emission estimation. Remote Sensing, vol. 16(6), 2024, 1018. https://doi.org/10.3390/rs16061018.
Bruederle A., Hodler R.: Nighttime lights as a proxy for human development at the local level. PLOS One, vol. 13(9), 2018, e0202231. https://doi.org/10.1371/journal.pone.0202231.
Chen X.: Nighttime lights and population migration: Revisiting classic demographic perspectives with an analysis of recent European data. Remote Sensing, vol. 12(1), 2020, 169. https://doi.org/10.3390/rs12010169.
Dong B., Zhang R., Li S., Ye Y., Huang C.: A meta-analysis for the nighttime light remote sensing data applied in urban research: Key topics, hotspot study areas and new trends. Science of Remote Sensing, vol. 11, 2025, 100186. https://doi.org/10.1016/j.srs.2024.100186.
Aji A., Husna V.N., Purnama S.M.: Multi-temporal data for land use change analysis using a machine learning approach (Google Earth Engine). International Journal of Geoinformatics, vol. 20(4), 2024, 3145. https://doi.org/10.52939/ijg.v20i4.3145.
Gandharum L., Hartono D.M., Karsidi A., Ahmad M.: Monitoring urban expansion and loss of agriculture on the north coast of West Java Province, Indonesia, using Google Earth Engine and intensity analysis. The Scientific World Journal, vol. 2022, 2022, 3123788. https://doi.org/10.1155/2022/3123788.
Danniswari D., Honjo T., Furuya K.: Land cover change impacts on land surface temperature in Jakarta and its satellite cities. IOP Conference Series: Earth and Environmental Science, vol. 501(1), 2020, 012031. https://doi.org/10.1088/1755-1315/501/1/012031.
Ariska M., Suhadi, Supari, Irfan M., Iskandar I.: Spatio-temporal variations of Indonesian rainfall and their links to Indo-Pacific modes. Atmosphere, vol. 15(9), 2024, 1036. https://doi.org/10.3390/atmos15091036.
Dissanayake D., Morimoto T., Murayama Y., Ranagalage M., Handayani H.H.: Impact of urban surface characteristics and socio-economic variables on the spatial variation of land surface temperature in Lagos City, Nigeria. Sustainability, vol. 11(1), 2018, 25. https://doi.org/10.3390/su11010025.
Huang B., Huang Y., Wu D., Bao X., Wu Y.: The influence of vegetation on climate elements in Northwestern China. Atmosphere, vol. 15(3), 2024, 325. https://doi.org/10.3390/atmos15030325.
Patel S., Indraganti M., Jawarneh R.: Land surface temperature response to land use dynamics in urban areas of Doha, Qatar. Sustainable Cities and Society, vol. 104, 2024, 105273. https://doi.org/10.1016/j.scs.2024.105273.
Ren H., Wen Z., Liu Y., Lin Z.: Vegetation response to changes in climate across different climate zones in China. Ecological Indicators, vol. 155, 2023, 110996. https://doi.org/10.1016/j.ecolind.2023.110932.
Derdouri A., Wang R., Murayama Y., Osaragi T.: Understanding the links between LULC changes and SUHI in cities: Insights from two-decadal studies (2001–2020). Remote Sensing, vol. 13(18), 2021, 3654. https://doi.org/10.3390/rs13183654.
Miralles D.G., Vilà-Guerau de Arellano J., McVicar T.R., Mahecha M.D.: Vegetation-climate feedbacks across scales. Annals of the New York Academy of Sciences, vol. 1544(1), 2025, pp. 27–41. https://doi.org/10.1111/nyas.15286.
Martinuzzi F., Mahecha M., Camps-Valls G., Montero D.: Learning extreme vegetation response to climate drivers with recurrent neural networks. Nonlinear Processes in Geophysics, vol. 31(4), 2024, pp. 535–557. https://doi.org/10.5194/npg-31-535-2024.