Main Article Content
Development in the Malang City area affects changes in land use patterns, one of which is changes in green land cover. Changes in green land cover will impact temperature changes in the area. Therefore, this study was conducted to determine the implications of green land cover changes in Malang urban areas in 2016-2020. This study uses remote sensing technology from Sentinel 2 satellite imagery and band canals to produce a green land density map (NDVI). Next, identify changes in urban temperature that occur. Based on the sensing results, there has been a significant change in land use patterns in the last five years. In addition, it is also known that changes in green land cover have a significant effect on changes in urban temperature, which impact the occurrence of urban heat islands. Thus, the Malang City government, in carrying out development and planning, the Malang City government must pay attention to and consider these changing conditions to minimize the impact of urban microclimate changes so that the city's sustainability is maintained.
 U. D. of E. and S. Affairs, World Urbanization Prospects: The 2018 Revision. United Nations New York, NY, USA, 2018.
 Weng, Q., Lu, D., & Schubring, J. (2004). Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Remote sensing of Environment, 89(4), 467-483.
 Manik, Tuminar Katarina & Syaukat, Syarifah. (2015). The Impact of Urban Heat Islands: Assessing vulnerability in Indonesia. Asian Cities Climate Resilience, Working Paper Series 13: 2015.
 Whitford, V., Ennos, A.R.& Handley, J.F. (2001). City form and natural process– indicators for the ecological performance of urban areas and their application to Merseyside, UK. Landscape and Urban Planning. 57(2), 91–103. Doi:10.1016/S0169-2046(01)00192-X
 Wang, K., Jiang, S., Wang, J., Zhou, C., Wang, X., Lee, X. (2017). Comparing The Diurnal and Seasonal Variabilities of Atmospheric and Surface Urban Heat Islands Based on The Beijing Urban Meteorological Network. Journal of Geophysical Research: Atmosphere 122 (4). https://doi.org/10.1002/2016JD025304.
 M. C. Y. D. Costa, “STUDI PENGARUH PERUBAHAN PENGGUNAAN LAHAN UNTUK PREDIKSI PERUBAHAN SUHU LINGKUNGAN DENGAN MEMANFAATKAN SIG (Studi Kasus : Kota Malang, Jawa Timur),” skripsi, ITN MALANG, 2015. Accessed: May 24, 2021. [Online]. Available: http://eprints.itn.ac.id/1414/
 Lillesand T.M & R.W. Kiefer. (1997). Penginderaan Jauh dan Interpretasi Citra. Diterjemahkan: Dulbahri, Prapto Suharsono, Hartono, Suharyadi. Yogyakarta: Gajah Mada University Press.
 Y. Zhang, “Optimizing green space locations to reduce daytime and nighttime urban heat island effects in Phoenix, Arizona,” Landscape and Urban Planning, vol. 165, no. Query date: 2020-12-22 21:06:34, pp. 162–171, 2017, doi: 10.1016/j.landurbplan.2017.04.009.
 Zha, Y., Gao, J., Ni, S., 2003. Use of normalized diﬀerence built-up index in automatically mapping urban areas from TM imagery 13.
 Leal Filho, W., Echevarria Icaza, L., Neht, A., Klavins, M., & Morgan, E. A. 2018. Coping with the impacts of urban heat islands. A literature based study on understanding urban heat vulnerability and the need for resilience in cities in a global climate change context. Journal of Cleaner Production, 171, 1140–1149. doi: https://doi.org/10.1016/j.jclepro.2017.10.086
 Tan, Y., Jiao, L., Shuai, C., & Shen, L. (2018). A system dynamics model for simulating urban sustainability performance: A China case study. Journal of Cleaner Production, 199, 1107–1115. https://doi.org/10.1016/j.jclepro.2018.07.154
 Singh, Nidhi, Singh, Saumya, Mall, R.K., 2020. Urban ecology and human health: implications of urban heat island, air pollution and climate change nexus. Elsevier. https://doi.org/10.1016/B978-0-12-820730-7.00017-3