Open Access
Issue |
E3S Web Conf.
Volume 600, 2024
The 6th International Geography Seminar (IGEOS 2023)
|
|
---|---|---|
Article Number | 06001 | |
Number of page(s) | 10 | |
Section | Spatial Planning, Urban and Rural Environmental Geography | |
DOI | https://doi.org/10.1051/e3sconf/202460006001 | |
Published online | 29 November 2024 |
- J. Tsou, J. Zhuang, Y. Li, and Y. Zhang, “Urban Heat Island Assessment Using the Landsat 8 Data: A Case Study in Shenzhen and Hong Kong,” Urban Sci., vol. 1, no. 1, p. 10, 2017, doi: 10.3390/urbansci1010010. [CrossRef] [Google Scholar]
- N. I. Fawzi, “Measuring Urban Heat Island using Remote Sensing, Case of Yogyakarta City,” Maj. Ilm. Globe, vol. 19, no. 2, pp. 195–206, 2017. [CrossRef] [Google Scholar]
- Y. Ma, Y. Kuang, and N. Huang, “Coupling urbanization analyses for studying urban thermal environment and its interplay with biophysical parameters based on TM/ETM+ imagery,” Int. J. Appl. Earth Obs. Geoinf., vol. 12, no. 2, pp. 110–118, 2010, doi: 10.1016/j.jag.2009.12.002. [Google Scholar]
- T. Susca, S. R. Gaffin, and G. R. Dell’Osso, “Positive effects of vegetation: Urban heat island and green roofs,” Environ. Pollut., vol. 159, no. 8–9, pp. 2119–2126, 2011, doi: 10.1016/j.envpol.2011.03.007. [CrossRef] [Google Scholar]
- W. Liao, X. Liu, D. Wang, and Y. Sheng, “The impact of energy consumption on the surface urban heat island in China’s 32 major cities,” Remote Sens., vol. 9, no. 3, 2017, doi: 10.3390/rs9030250. [Google Scholar]
- I. Prasasti, N. M. Sari, and N. Febrianti, “Analisis Perubahan Sebaran Pulau Panas Perkotaan ( Urban Heat Island ) di Wilayah DKI Jakarta dan Hubungannya dengan Perubahan Lahan, Kondisi Vegetasi dan Perkembangan Kawasan Terbangun Menggunakan Data Penginderaan Jauh,” Pros. Pertem. Ilm. Tah. XX 2015, no. February, pp. 383–391, 2015. [Google Scholar]
- G. Kaplan, U. Avdan, and Z. Y. Avdan, “Urban Heat Island Analysis Using the Landsat 8 Satellite Data: A Case Study in Skopje, Macedonia,” p. 358, 2018, doi: 10.3390/ecrs-2-05171. [Google Scholar]
- Z. L. Li et al., “Satellite-derived land surface temperature: Current status and perspectives,” Remote Sens. Environ., vol. 131, pp. 14–37, 2013, doi: 10.1016/j.rse.2012.12.008. [CrossRef] [Google Scholar]
- E. Neinavaz, A. K. Skidmore, and R. Darvishzadeh, “Effects of prediction accuracy of the proportion of vegetation cover on land surface emissivity and temperature using the NDVI threshold method,” Int. J. Appl. Earth Obs. Geoinf., vol. 85, no. October 2019, p. 101984, 2020, doi: 10.1016/j.jag.2019.101984. [Google Scholar]
- G. Halevi, H. Moed, and J. Bar-ilan, “Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation — Review of the Literature,” J. Informetr., vol. 11, no. 3, pp. 823–834, 2017, doi: 10.1016/j.joi.2017.06.005. [CrossRef] [Google Scholar]
- M. Mahanum, “Tinjauan Kepustakaan,” ALACRITY J. Educ., vol. 1, no. 2, pp. 1–12, 2021, doi: 10.52121/alacrity.v1i2.20. [CrossRef] [Google Scholar]
- R. ASmiwyati, “Urban Heat Island ; Sebuah Kajian Pustaka,” Progr. Stud. Arsit. Pertamanan, 2018. [Google Scholar]
- A. P. Larasati, B. Rahman, and J. Kautsary, “Pengaruh Perkembangan Perkotaan Terhadap Fenomena Pulau Panas (Urban Heat Island),” J. Kaji. Ruang, vol. 2, no. 1, p. 35, 2022, doi: 10.30659/jkr.v2i1.20469. [CrossRef] [Google Scholar]
- A. C. Aguiar, “Urban Heat Islands: differentiating between the benefits and drawbacks of using native or exotic vegetation in mitigating climate,” Univ. Wollongong Res. Online, 2012, [Online]. Available: http://ro.uow.edu.au/theses/3751/. [Google Scholar]
- A. Bhargava, S. Lakmini, and S. Bhargava, “Urban Heat Island Effect: It’s Relevance in Urban Planning,” J. Biodivers. Endanger. Species, vol. 05, no. 02, pp. 1–4, 2017, doi: 10.4172/2332-2543.1000187. [Google Scholar]
- N. I. Fawzi and N. N. M, “Kajian Urban Heat Island di Kota Yogyakarta Hubungan antara Tutupan Lahan dan Suhu Permukaan,” Simp. Nas. Sains Geoinformasi ~ III 2013 “Meningkatkan Kualitas Data Geospasial Melalui Anal. Citra dan Pemodelan Spasial,” no. April, pp. 275–280, 2013. [Google Scholar]
- C. P. Lo, D. A. Quattrochi, and J. C. Luvall, “Application of high-resolution GIS to assess the urban heat thermal infrared island effect,” Int. J. Remote Sens., vol. 18, no. 2, 1997. [Google Scholar]
- W. Takeuchi, N. Hashim, and K. M. Thet, “Application of remote sensing and GIS for monitoring urban heat island in Kuala Lumpur Metropolitan area,” Connect. Gov. Citiz. through Ubiquitous GIS, no. May 2016, p. 14, 2010. [Google Scholar]
- B. Feizizadeh and T. Blaschke, “Examining Urban heat Island relations to land use and air pollution: Multiple endmember spectral mixture analysis for thermal remote sensing,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 6, no. 3, pp. 1749–1756, 2013, doi: 10.1109/JSTARS.2013.2263425. [CrossRef] [Google Scholar]
- P. Wu and X. Zhang, “Urban heat island effects study based on built-up index and vegetation index in Beijing city,” MIPPR 2009 Remote Sens. GIS Data Process. Other Appl., vol. 7498, no. 40701183, p. 74980T, 2009, doi: 10.1117/12.833680. [CrossRef] [Google Scholar]
- I. P. Senanayake, W. D. D. P. Welivitiya, and P. M. Nadeeka, “Remote sensing based analysis of urban heat islands with vegetation cover in Colombo city, Sri Lanka using Landsat-7 ETM+ data,” Urban Clim., vol. 5, pp. 19–35, 2013, doi: 10.1016/j.uclim.2013.07.004. [CrossRef] [Google Scholar]
- C. B. Karakuş, “The Impact of Land Use/Land Cover (LULC) Changes on Land Surface Temperature in Sivas City Center and Its Surroundings and Assessment of Urban Heat Island,” Asia-Pacific J. Atmos. Sci., vol. 55, no. 4, pp. 669–684, 2019, doi: 10.1007/s13143-019-00109-w. [CrossRef] [Google Scholar]
- S. Jalan and K. Sharma, “Spatio-temporal assessment of land use/ land cover dynamics and urban heat island of Jaipur city using satellite data,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. ISPRS Arch., vol. XL–8, no. 1, pp. 767–772, 2014, doi: 10.5194/isprsarchives-XL-8-767-2014. [CrossRef] [Google Scholar]
- I. Ogashawara and V. Bastos, “A Quantitative Approach for Analyzing the Relationship between Urban Heat Islands and Land Cover,” Remote Sens., vol. 4, no. 11, pp. 3596–3618, 2012, doi: 10.3390/rs4113596. [CrossRef] [Google Scholar]
- Y. Xu, Z. Qin, and H. Wan, “Spatial and Temporal Dynamics of Urban Heat Island and Their Relationship with Land Cover Changes in Urbanization Process: A Case Study in Suzhou, China,” J. Indian Soc. Remote Sens., vol. 38, no. 4, pp. 654–663, 2010, doi: 10.1007/s12524-011-0073-7. [CrossRef] [Google Scholar]
- F. Ramdani and P. Setiani, “Spatio-temporal analysis of urban temperature in Bandung City, Indonesia,” Urban Ecosyst., vol. 17, no. 2, pp. 473–487, 2014, doi: 10.1007/s11252-013-0332-1. [CrossRef] [Google Scholar]
- R. Maru and S. Ahmad, “The relationship between land use changes and the urban heat Island phenomenon in Jakarta, Indonesia,” Adv. Sci. Lett., vol. 21, no. 2, pp. 150–152, 2015, doi: 10.1166/asl.2015.5842. [CrossRef] [Google Scholar]
- S. A. Al Mukmin, A. Wijaya, and A. Sukmono, “Analisis Pengaruh Perubahan Tutupan Lahan Terhadap Distribusi Suhu Permukaan Dan Keterkaitannya Dengan Fenomena Urban Heat Island,” J. Geod. Undip, vol. 5, no. 1, pp. 224–233, 2016. [Google Scholar]
- S. P. Darlina, B. Sasmito, and B. D. Yuwono, “Analisis Fenomena Urban Heat Island Serta Mitigasinya (Studi Kasus : Kota Semarang),” J. Geod. Undip, vol. 4, no. April, pp. 86–94, 2015. [Google Scholar]
- M. Stanganelli and M. Soravia, “Connections between urban structure and urban heat island generation: An analysis trough remote sensing and GIS,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 7334 LNCS, no. PART 2, pp. 599–608, 2012, doi: 10.1007/978-3-642-31075-1_45. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.