Spatial Modelling of Air Surface Temperature Due to Land Cover Change at Caturtunggal Village, and Sinduadi Village
Keywords:
Land Cover, Land Surface Temperature, Gadjah Mada University, M-ASTAbstract
The rapid development of urban areas has played a role in increasing the symptoms of urban heat islands (UHI). There is a strong physical relationship between air surface temperature (air surface temperature, or AST) and land surface temperature (LST). Remote sensing technology can already be utilized to obtain an overview of land cover based on the values of vegetation density and building density. Gadjah Mada University (UGM) was chosen because it has planned to build green open spaces in the surrounding villages since 2014. Spatial analysis methods are used to determine patterns of land cover change, land surface temperature, and air surface temperature models. Statistical analysis was carried out to see the relationship between the land cover model and air surface temperature. Land cover in and around the UGM campus area from 2013, 2017, and 2021 continues to change. The pattern of changes in land surface temperature follows changes in land cover that occur in the study area. The increase in land surface temperature is proportional to the increase in built-up area. The greatest increase in land surface temperature tends to occur in areas showing a change from vegetated to built-up land cover. The highest air surface temperature was 30.37 °C in the built-up land cover class, while the lowest air surface temperature was 28.91 °C in the agricultural vegetation land cover class. An increase in air surface temperature of more than 1°C is caused by changes in land cover from vegetation to built-up areas. Air surface temperature is closely related to land cover. The more developed the land cover, the higher the air surface temperature.
References
Adulkongkaew, T., Satapanajaru, T., Charoenhirunyingyos, S., & Singhirunnusorn, W. (2020). Effect of Land Cover Composition and Building Configuration on Land Surface Temperature in An Urban-Sprawl City. Thailand. Heliyon, 6(8), e04485.
Aggarwal, S. (2004). Principles of remote sensing. Satellite remote sensing and GIS applications in agricultural meteorology, 23(2), 23-28.
Alexander, C. (2020). Normalised Difference Spectral Indices and Urban Land Cover as Indicators of Land Surface Temperature (LST). International Journal of Applied Earth Observation and Geoinformation, 86, 102013.
Alshuwaikhat, H. M., & Abubakar, I. (2008). An Integrated Approach to Achieving Campus Sustainability: Assessment of The Current Campus Environmental Management Practices. Journal of Cleaner Production, 16(16), 1777–1785.
Bakara, J. (2014). Sistem Manajemen Data Citra Satelit Penginderaan Jauh Resolusi Tinggi Untuk Kebutuhan Nasional. Seminar Nasional Penginderaan Jauh, 751– 761.
Benali, A., Carvalho, A. C., Nunes, J. P., Carvalhais, N., & Santos, A. (2012). Estimating Air Surface Temperature in Portugal Using MODIS LST Data. Remote Sensing of Environment, 124, 108-121.
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017). Classification and regression trees. Routledge
Choudhury, D., Das, K., & Das, A. (2019). Assessment of land use land cover changes and Its Impact on Variations of Land Surface Temperature in Asansol-Durgapur Development Region. The Egyptian Journal of Remote Sensing and Space Science, 22(2), 203-218.
Colombi, A., De Michele, C., Pepe, M., Rampini, A., & Michele, C. D. (2007). Estimation of Daily Mean Air Temperature From MODIS LST in Alpine Areas. EARSeL eProceedings, 6(1), 38-46.
Das, S., & Angadi, D. P. (2020). Land Use-Land Cover (LULC) transformation and Its Relation With Land Surface Temperature Changes: A Case Study of Barrackpore Subdivision, West Bengal, India. Remote Sensing Applications: Society and Environment, 19, 100322.
Derajat, R. M., Sopariah, Y., Aprilianti, S., Taruna, A. C., Tisna, H. A. R., Ridwana, R., & Sugandi, D. (2020). Klasifikasi Tutupan Lahan Menggunakan Citra Landsat 8 Operational Land Imager (OLI) di Kecamatan Pangandaran. Jurnal Samudra Geografi, 3(1), 1-10.
Dewi, N. R. (2021). Implementasi Model Green Campus dalam Program Pemberdayaan Masyarakat Inspiring Bulaksumur Urban Community (IBUC). Sosio e-Kons, 13(3), 208-221.
Dong, S., Yan, X., & Xiong, Z. (2013). Varying responses in Mean Air surface temperature From Land Use/Cover Change in Different Seasons Over Northern China. Acta Ecologica Sinica, 33(3), 167–171.
Fikri, A. S., Setiawan, F., Violando, W. A., Muttaqin, A. D., & Rahmawan, F. (2021). Analisis Perubahan Penutupan Lahan Menggunakan Google Earth Engine dengan Algoritma Cart (Studi Kasus: Wilayah Pesisir Kabupaten Lamongan, Provinsi Jawa Timur). In Prosiding Forum Ilmiah Tahunan (FIT)-Ikatan Surveyor Indonesia (ISI) (Vol. 1, pp. 89-99). Departemen Teknik Geodesi, Fakultas Teknik, Universitas Diponegoro.
Ford (1989). Remote Sensing and Image Interpretation. Jhon Willey and Sons.
Gohain, K. J., Mohammad, P., & Goswami, A. (2021). Assessing the impact of land use land cover changes on land surface temperature over Pune city, India. Quaternary International, 575, 259-269.
Gustin, O., & Roziqin, A. (2019). Detection of Land Use Changes in Batam Island Coastal Using Remote Sensing. In IOP Conference Series: Earth and Environmental Science, 375(1), 012001.
Indrawati, E. D., Hermawan, H., & Huboyo, H. S. (2016). Analisis Emisi Co2 Antropogenik Rumah Tangga di Kelurahan Patukangan, Pekauman dan Balok, Kabupaten Kendal. Indonesian Journal of Conservation, 4(1).
Irons, J. R., Dwyer, J. L., & Barsi, J. A. (2012). The next Landsat satellite: The Landsat data continuity mission. Remote Sensing of Environment, 122, 11-21.
Jang, J., Lee, W., Choi, M., Kang, C., & Kim, H. (2020). Roles of Urban Heat Anomaly and Land-Use/Land-Cover on The Heat-Related Mortality in The National Capital Region of South Korea. Environment international, 145, 106127.
Jusuf, S. K., Wong, N. H., Hagen, E., Anggoro, R., & Hong, Y. (2007). The Influence of Land Use on The Urban Heat Island in Singapore. Habitat international, 31(2), 232-242.
Kafy, A. A., Rahman, M. S., 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.
Kanata, B., Iqbal, M. S., & Ramdayanti, R. (2021). Penerapan Metode Supervised Classification Maximum Likelihood Pada Citra Satelit Landsat Untuk Memetakan Perubahan Tutupan Lahan di Taman Nasional Bukit Barisan Selatan (Tnbbs). Dielektrika, 8(1), 44-53.
Kolawole, O. A., & Boluwatife, A. R. (2016). Assessment of The Factors Influencing Student Choice Of Residence In Nigerian Tertiary Institutions. Sains Humanika, 8(2), 39–47.
Madakarah, N. Y., Wibowo, A., Manessa, M. D. M., & Ristya, Y. (2019). Variations Of Land Surface Temperature And Its Relationship With Land Cover And Changes In IPB Campus, Dramaga Bogor 2013-2018. E3S Web Of Conferences, 125, 01004.
Memon, R. A., Leung, D. Y. C., & Liu, C. H. (2009). An investigation of Urban Heat Island Intensity (UHII) As An Indicator of Urban Heating. Atmospheric Research, 94(3), 491–500.
Nadira, C., Saraswati, R., & Wibowo, A. (2019). Pengaruh Perubahan Tutupan Lahan Terhadap Fenomena Urban Heat Island Di Kecamatan Cikarang Utara, Kabupaten Bekasi Tahun 2007–2018 Menggunakan Citra Landsat 5 Dan 8. Seminar Nasional Penginderaan Jauh ke-6 Tahun 2019.
Nawangwulan, N. H., Sudarsono, B., Sasmito, B. (2013). Analisis Pengaruh Perubahan Lahan Pertanian Terhadap Hasil Produksi Tanaman Pangan di Kabupaten Pati Tahun 2001-2011. Jurnal Geodesi Undip. 2(2), 127-140.
Noor, D. (2012). Geologi. Program Studi Teknik Geologi Fakultas Teknik-Universitas Pakuan.
Pambudi, L., Hidayatno, A., & Isnanto, R. (2011). Identifikasi Luas Bencana Tsunami Dengan Menggunakan Segmentasi Citra. Universitas Diponegoro.
Permatasari, Y. D. (2019). Analisis Kondisi Muara Kali Porong Akibat Semburan Lumpur Sidoarjo Menggunakan Citra Landsat Tahun 2014-2017.
Pertiwi, B. D. (2018). Analisis Karakteristik Awan Cumulonimbus Menggunakan Citra Satelit Dan Data Cuaca Permukaan Wilayah Banyuwangi.
Pradhan, S. N., Anjum, M., & Jena, P. (2018). Estimation of Soil Moisture Content by Remote Sensing Methods. Journal of Pharmacognosy and Phytochemistry, 7, 1786-1792.
Priyadarsini, R., & Hien, W. N. (2009). Causes of urban heat island in Singapore: An investigation using Computational Fluid Dynamics (CFD). PLEA 2009 - Architecture Energy and the Occupant’s Perspective: Proceedings of the 26th International Conference on Passive and Low Energy Architecture, June, 22– 24.
Purwanto, Utomo, D. H., & Kurniawan, B. R. (2016). Spatio Temporal Analysis Trend of Land Use and Land Cover Change Against Temperature Based on Remote Sensing Data in Malang City. Procedia-Social and Behavioral Sciences, 227, 232-238.
Romadhoni, M. A. M. (2013). Analisis Prioritas Penataan Ruang Terbuka Hijau Daerah Permukiman Melalui Pemanfaatan Penginderaan Jauh Dan Sistem Informasi Geografis Di Kecamatan Kotagede (Doctoral dissertation, Universitas Muhammadiyah Surakarta).
Roth, M. (2013). Urban Heat Islands. In Fernando, H.J.S. (Ed), Handbook of Environmental Fluid Dynamics, Volume Two. CRC Press/Taylor & Francis Group, LLC.
Sabins, F. F. (2007). Remote sensing: principles and applications. Waveland Press.
Sampurno, R. M., & Thoriq, A. (2016). Klasifikasi Tutupan Lahan Menggunakan Citra Landsat 8 Operational Land Imager (Oli) Di Kabupaten Sumedang (Land Cover Classification Using Landsat 8 Operational Land Imager (Oli) Data In Sumedang Regency). Jurnal Teknotan, 10(2).
Sarkar, A. (2018). Accuracy Assessment and Analysis of Land Use Land Cover Change Using Geoinformatics Technique in Raniganj Coalfield Area , India. Environmental Sciences & Natural Resources, 11(1), 25-34.
Shalaby, A., & Tateishi, R. (2007). Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt. Applied Geography, 27(1), 28-41.
Shi, Y., & Zhang, Y. (2018). Remote Sensing Retrieval of Urban Land Surface Temperature in Hot-Humid Region. Urban Climate, 24, 299-310.
Simonetti, D., Simonetti, E., Szantoi, Z., Lupi, A., & Eva, H. D. (2015). First Results From The Phenology-Based Synthesis Classifier Using Landsat 8 imagery. IEEE Geoscience and remote sensing letters, 12(7), 1496-1500. New York, 1979.
Sitanggang, G. (2010). Kajian Pemanfaatan Satelit Masa Depan: Sistem Penginderaan Jauh Satelit LDCM (LANDSAT-8). Berita Dirgantara, 11(2).
Sobrino, J. A., Oltra-Carrió, R., Sòria, G., Jiménez-Muñoz, J. C., Franch, B., Hidalgo, V. & Paganini, M. (2013). Evaluation of The Surface Urban Heat Island Effect In The City of Madrid by Thermal Remote Sensing. International journal of remote sensing, 34(9-10), 3177-3192.
Solihin, M. A., & Putri, N. (2020). Keragaman Penggunaan Lahan Eksisting di Hulu Sub DAS Cikapundung Berdasarkan Indeks Vegetasi dan Temperatur permukaan daratan. Agrikultura, 31(3), 251-262.
Soydan, O. (2020). Effects of landscape composition and patterns on Land Surface Temperature: Urban Heat Island Case Study For Nigde, Turkey. Urban Climate, 34, 100688.
Suratman (2014). Membangun Kesejahteraan Kampung Bersama IBUC UGM di Gelanggang Olah Raga Klebengan, Caturtunggal, Depok Sleman 2014. Seminar Festival Kampung Hijau.
Szokolay, S. V., & Koenigsberger, O. (1973). Manual of Tropical Housing and Building. Bombay: Orient Langman.
Topouzelis, K., Makri, D., Stoupas, N., Papakonstantinou, A., & Katsanevakis, S. (2018). Seagrass mapping in Greek territorial waters using Landsat-8 satellite images. International journal of applied earth observation and geoinformation, 67, 98-113.
Tsou, J. Y., Li, X., Tsou, K., He, J., & Pan, D. (2018, June). Detect Relationship Between Urban Housing Development and Urban Heat Island Dynamic in Hyper-density Hong Kong by Integrating GIS and RS Techniques. In Workshop of the European Group for Intelligent Computing in Engineering, 535-553.
Tursilowati, L. (2002). Urban Heat Island Dan Kontribusinya Pada Perubahan Iklim dan Hubungannya Dengan Perubahan Lahan. In Seminar Nasional Pemanasan Global Dan Perubahan Global. Fakta, Mitigasi, Dan Adaptasi. Pusat Pemanfaatan Sains Atmosfer Dan Iklim LAPAN, 89-96.
Utami, F. P., Prasetyo, Y., & Sukmono, A. (2016). Analisis Spasial Perubahan Luasan Mangrove Akibat Pengaruh Limpasan Sedimentasi Tersuspensi Dengan Metode Penginderaan Jauh. Jurnal Geodesi Undip, 5(1), 305–315.
Vanhellemont, Quinten (2020). Combined Land Surface Emissivity and Temperature Estimation From Landsat 8 OLI and TIRS. ISPRS Journal of Photogrammetry and Remote Sensing, (166), 390-402.
Voogt, J. A., & Oke, T. R. (2003). Thermal Remote Sensing Of Urban Climates. Remote Sensing Of Environment, 86(3), 370-384.
Wang, L., Tian, F., Wang, X., Yang, Y., & Wei, Z. (2020). Attribution of The Land Surface Temperature Response to Land-Use Conversions From Bare Land. Global and Planetary Change, 193, 103268
Wang, R., Cai, M., Ren, C., Bechtel, B., Xu, Y., & Ng, E. (2019). Detecting Multi-Temporal Land Cover Change and Land Surface Temperature in Pearl River Delta by Adopting Local Climate Zone. Urban Climate, 28, 100455.
Wibowo, A., & Salleh, K. O. (2018) Land Cover Types And Their Effect On The Urban Heat Signature of University Campuses Using Remote Sensing. International Journal of Technology, 9(3), 479–490.
Wibowo, A., Yusoff, M. M., & Salleh, K. O. (2020). Monitoring Urban Heat Signature And Profiles of Localized Urban Environment in The University of Malaya. IOP Conference Series: Earth and Environmental Science, 481(1)
Wibowo, A., Yusoff, M. M., & Shidiq, I. P. A. (2020). Urban Heat Hazard Threat on University Campus (University of Indonesia and University of Malaya). International Journal of GEOMATE, 19(76), 141–148.
Wibowo, A., Yusoff, M. M., Adura, T. A., & Zaini, L. H. (2020). Spatial Model of Air Surface Temperature Using Landsat 8 TIRS. IOP Conference Series: Earth and Environmental Science, 500(1).
Wong, N. H., & Yu, C. (2005). Study Of Green Areas and Urban Heat Island In A Tropical City. Habitat International, 29(3), 547–558.
Xiao, Honglin, & Weng, Q. (2007). The Impact of Land Use And Land Cover Changes on Land Surface Temperature in A Karst Area of China. Journal of Environmental Management, 85(1), 245–257.
Yudithia, F. A., Jaelani, L. M., & Handayani, H. H. (2021). Analisis Persebaran Keanekaragaman Hayati pada Pohon dan Potensinya Dalam Penyerapan Emisi Karbon di Wilayah Perkotaan Menggunakan Data Foto Udara dan Lidar. Jurnal Teknik ITS, 9(2), 41-47.
Zhang, Y., Su, Z., Li, G., Zhuo, Y., & Xu, Z. (2018). Spatial-temporal evolution of sustainable urbanization development: A perspective of the coupling coordination development based on population, industry, and built-up land spatial agglomeration. Sustainability, 10(6), 1766.
Adulkongkaew, T., Satapanajaru, T., Charoenhirunyingyos, S., & Singhirunnusorn, W. (2020). Effect of Land Cover Composition and Building Configuration on Land Surface Temperature in An Urban-Sprawl City. Thailand. Heliyon, 6(8), e04485.
Aggarwal, S. (2004). Principles of remote sensing. Satellite remote sensing and GIS applications in agricultural meteorology, 23(2), 23-28.
Alexander, C. (2020). Normalised Difference Spectral Indices and Urban Land Cover as Indicators of Land Surface Temperature (LST). International Journal of Applied Earth Observation and Geoinformation, 86, 102013.
Alshuwaikhat, H. M., & Abubakar, I. (2008). An Integrated Approach to Achieving Campus Sustainability: Assessment of The Current Campus Environmental Management Practices. Journal of Cleaner Production, 16(16), 1777–1785.
Bakara, J. (2014). Sistem Manajemen Data Citra Satelit Penginderaan Jauh Resolusi Tinggi Untuk Kebutuhan Nasional. Seminar Nasional Penginderaan Jauh, 751– 761.
Benali, A., Carvalho, A. C., Nunes, J. P., Carvalhais, N., & Santos, A. (2012). Estimating Air Surface Temperature in Portugal Using MODIS LST Data. Remote Sensing of Environment, 124, 108-121.
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017). Classification and regression trees. Routledge
Choudhury, D., Das, K., & Das, A. (2019). Assessment of land use land cover changes and Its Impact on Variations of Land Surface Temperature in Asansol-Durgapur Development Region. The Egyptian Journal of Remote Sensing and Space Science, 22(2), 203-218.
Colombi, A., De Michele, C., Pepe, M., Rampini, A., & Michele, C. D. (2007). Estimation of Daily Mean Air Temperature From MODIS LST in Alpine Areas. EARSeL eProceedings, 6(1), 38-46.
Das, S., & Angadi, D. P. (2020). Land Use-Land Cover (LULC) transformation and Its Relation With Land Surface Temperature Changes: A Case Study of Barrackpore Subdivision, West Bengal, India. Remote Sensing Applications: Society and Environment, 19, 100322.
Derajat, R. M., Sopariah, Y., Aprilianti, S., Taruna, A. C., Tisna, H. A. R., Ridwana, R., & Sugandi, D. (2020). Klasifikasi Tutupan Lahan Menggunakan Citra Landsat 8 Operational Land Imager (OLI) di Kecamatan Pangandaran. Jurnal Samudra Geografi, 3(1), 1-10.
Dewi, N. R. (2021). Implementasi Model Green Campus dalam Program Pemberdayaan Masyarakat Inspiring Bulaksumur Urban Community (IBUC). Sosio e-Kons, 13(3), 208-221.
Dong, S., Yan, X., & Xiong, Z. (2013). Varying responses in Mean Air surface temperature From Land Use/Cover Change in Different Seasons Over Northern China. Acta Ecologica Sinica, 33(3), 167–171.
Fikri, A. S., Setiawan, F., Violando, W. A., Muttaqin, A. D., & Rahmawan, F. (2021). Analisis Perubahan Penutupan Lahan Menggunakan Google Earth Engine dengan Algoritma Cart (Studi Kasus: Wilayah Pesisir Kabupaten Lamongan, Provinsi Jawa Timur). In Prosiding Forum Ilmiah Tahunan (FIT)-Ikatan Surveyor Indonesia (ISI) (Vol. 1, pp. 89-99). Departemen Teknik Geodesi, Fakultas Teknik, Universitas Diponegoro.
Ford (1989). Remote Sensing and Image Interpretation. Jhon Willey and Sons.
Gohain, K. J., Mohammad, P., & Goswami, A. (2021). Assessing the impact of land use land cover changes on land surface temperature over Pune city, India. Quaternary International, 575, 259-269.
Gustin, O., & Roziqin, A. (2019). Detection of Land Use Changes in Batam Island Coastal Using Remote Sensing. In IOP Conference Series: Earth and Environmental Science, 375(1), 012001.
Indrawati, E. D., Hermawan, H., & Huboyo, H. S. (2016). Analisis Emisi Co2 Antropogenik Rumah Tangga di Kelurahan Patukangan, Pekauman dan Balok, Kabupaten Kendal. Indonesian Journal of Conservation, 4(1).
Irons, J. R., Dwyer, J. L., & Barsi, J. A. (2012). The next Landsat satellite: The Landsat data continuity mission. Remote Sensing of Environment, 122, 11-21.
Jang, J., Lee, W., Choi, M., Kang, C., & Kim, H. (2020). Roles of Urban Heat Anomaly and Land-Use/Land-Cover on The Heat-Related Mortality in The National Capital Region of South Korea. Environment international, 145, 106127.
Jusuf, S. K., Wong, N. H., Hagen, E., Anggoro, R., & Hong, Y. (2007). The Influence of Land Use on The Urban Heat Island in Singapore. Habitat international, 31(2), 232-242.
Kafy, A. A., Rahman, M. S., 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.
Kanata, B., Iqbal, M. S., & Ramdayanti, R. (2021). Penerapan Metode Supervised Classification Maximum Likelihood Pada Citra Satelit Landsat Untuk Memetakan Perubahan Tutupan Lahan di Taman Nasional Bukit Barisan Selatan (Tnbbs). Dielektrika, 8(1), 44-53.
Kolawole, O. A., & Boluwatife, A. R. (2016). Assessment of The Factors Influencing Student Choice Of Residence In Nigerian Tertiary Institutions. Sains Humanika, 8(2), 39–47.
Madakarah, N. Y., Wibowo, A., Manessa, M. D. M., & Ristya, Y. (2019). Variations Of Land Surface Temperature And Its Relationship With Land Cover And Changes In IPB Campus, Dramaga Bogor 2013-2018. E3S Web Of Conferences, 125, 01004.
Memon, R. A., Leung, D. Y. C., & Liu, C. H. (2009). An investigation of Urban Heat Island Intensity (UHII) As An Indicator of Urban Heating. Atmospheric Research, 94(3), 491–500.
Nadira, C., Saraswati, R., & Wibowo, A. (2019). Pengaruh Perubahan Tutupan Lahan Terhadap Fenomena Urban Heat Island Di Kecamatan Cikarang Utara, Kabupaten Bekasi Tahun 2007–2018 Menggunakan Citra Landsat 5 Dan 8. Seminar Nasional Penginderaan Jauh ke-6 Tahun 2019.
Nawangwulan, N. H., Sudarsono, B., Sasmito, B. (2013). Analisis Pengaruh Perubahan Lahan Pertanian Terhadap Hasil Produksi Tanaman Pangan di Kabupaten Pati Tahun 2001-2011. Jurnal Geodesi Undip. 2(2), 127-140.
Noor, D. (2012). Geologi. Program Studi Teknik Geologi Fakultas Teknik-Universitas Pakuan.
Pambudi, L., Hidayatno, A., & Isnanto, R. (2011). Identifikasi Luas Bencana Tsunami Dengan Menggunakan Segmentasi Citra. Universitas Diponegoro.
Permatasari, Y. D. (2019). Analisis Kondisi Muara Kali Porong Akibat Semburan Lumpur Sidoarjo Menggunakan Citra Landsat Tahun 2014-2017.
Pertiwi, B. D. (2018). Analisis Karakteristik Awan Cumulonimbus Menggunakan Citra Satelit Dan Data Cuaca Permukaan Wilayah Banyuwangi.
Pradhan, S. N., Anjum, M., & Jena, P. (2018). Estimation of Soil Moisture Content by Remote Sensing Methods. Journal of Pharmacognosy and Phytochemistry, 7, 1786-1792.
Priyadarsini, R., & Hien, W. N. (2009). Causes of urban heat island in Singapore: An investigation using Computational Fluid Dynamics (CFD). PLEA 2009 - Architecture Energy and the Occupant’s Perspective: Proceedings of the 26th International Conference on Passive and Low Energy Architecture, June, 22– 24.
Purwanto, Utomo, D. H., & Kurniawan, B. R. (2016). Spatio Temporal Analysis Trend of Land Use and Land Cover Change Against Temperature Based on Remote Sensing Data in Malang City. Procedia-Social and Behavioral Sciences, 227, 232-238.
Romadhoni, M. A. M. (2013). Analisis Prioritas Penataan Ruang Terbuka Hijau Daerah Permukiman Melalui Pemanfaatan Penginderaan Jauh Dan Sistem Informasi Geografis Di Kecamatan Kotagede (Doctoral dissertation, Universitas Muhammadiyah Surakarta).
Roth, M. (2013). Urban Heat Islands. In Fernando, H.J.S. (Ed), Handbook of Environmental Fluid Dynamics, Volume Two. CRC Press/Taylor & Francis Group, LLC.
Sabins, F. F. (2007). Remote sensing: principles and applications. Waveland Press.
Sampurno, R. M., & Thoriq, A. (2016). Klasifikasi Tutupan Lahan Menggunakan Citra Landsat 8 Operational Land Imager (Oli) Di Kabupaten Sumedang (Land Cover Classification Using Landsat 8 Operational Land Imager (Oli) Data In Sumedang Regency). Jurnal Teknotan, 10(2).
Sarkar, A. (2018). Accuracy Assessment and Analysis of Land Use Land Cover Change Using Geoinformatics Technique in Raniganj Coalfield Area , India. Environmental Sciences & Natural Resources, 11(1), 25-34.
Shalaby, A., & Tateishi, R. (2007). Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt. Applied Geography, 27(1), 28-41.
Shi, Y., & Zhang, Y. (2018). Remote Sensing Retrieval of Urban Land Surface Temperature in Hot-Humid Region. Urban Climate, 24, 299-310.
Simonetti, D., Simonetti, E., Szantoi, Z., Lupi, A., & Eva, H. D. (2015). First Results From The Phenology-Based Synthesis Classifier Using Landsat 8 imagery. IEEE Geoscience and remote sensing letters, 12(7), 1496-1500. New York, 1979.
Sitanggang, G. (2010). Kajian Pemanfaatan Satelit Masa Depan: Sistem Penginderaan Jauh Satelit LDCM (LANDSAT-8). Berita Dirgantara, 11(2).
Sobrino, J. A., Oltra-Carrió, R., Sòria, G., Jiménez-Muñoz, J. C., Franch, B., Hidalgo, V. & Paganini, M. (2013). Evaluation of The Surface Urban Heat Island Effect In The City of Madrid by Thermal Remote Sensing. International journal of remote sensing, 34(9-10), 3177-3192.
Solihin, M. A., & Putri, N. (2020). Keragaman Penggunaan Lahan Eksisting di Hulu Sub DAS Cikapundung Berdasarkan Indeks Vegetasi dan Temperatur permukaan daratan. Agrikultura, 31(3), 251-262.
Soydan, O. (2020). Effects of landscape composition and patterns on Land Surface Temperature: Urban Heat Island Case Study For Nigde, Turkey. Urban Climate, 34, 100688.
Suratman (2014). Membangun Kesejahteraan Kampung Bersama IBUC UGM di Gelanggang Olah Raga Klebengan, Caturtunggal, Depok Sleman 2014. Seminar Festival Kampung Hijau.
Szokolay, S. V., & Koenigsberger, O. (1973). Manual of Tropical Housing and Building. Bombay: Orient Langman.
Topouzelis, K., Makri, D., Stoupas, N., Papakonstantinou, A., & Katsanevakis, S. (2018). Seagrass mapping in Greek territorial waters using Landsat-8 satellite images. International journal of applied earth observation and geoinformation, 67, 98-113.
Tsou, J. Y., Li, X., Tsou, K., He, J., & Pan, D. (2018, June). Detect Relationship Between Urban Housing Development and Urban Heat Island Dynamic in Hyper-density Hong Kong by Integrating GIS and RS Techniques. In Workshop of the European Group for Intelligent Computing in Engineering, 535-553.
Tursilowati, L. (2002). Urban Heat Island Dan Kontribusinya Pada Perubahan Iklim dan Hubungannya Dengan Perubahan Lahan. In Seminar Nasional Pemanasan Global Dan Perubahan Global. Fakta, Mitigasi, Dan Adaptasi. Pusat Pemanfaatan Sains Atmosfer Dan Iklim LAPAN, 89-96.
Utami, F. P., Prasetyo, Y., & Sukmono, A. (2016). Analisis Spasial Perubahan Luasan Mangrove Akibat Pengaruh Limpasan Sedimentasi Tersuspensi Dengan Metode Penginderaan Jauh. Jurnal Geodesi Undip, 5(1), 305–315.
Vanhellemont, Quinten (2020). Combined Land Surface Emissivity and Temperature Estimation From Landsat 8 OLI and TIRS. ISPRS Journal of Photogrammetry and Remote Sensing, (166), 390-402.
Voogt, J. A., & Oke, T. R. (2003). Thermal Remote Sensing Of Urban Climates. Remote Sensing Of Environment, 86(3), 370-384.
Wang, L., Tian, F., Wang, X., Yang, Y., & Wei, Z. (2020). Attribution of The Land Surface Temperature Response to Land-Use Conversions From Bare Land. Global and Planetary Change, 193, 103268
Wang, R., Cai, M., Ren, C., Bechtel, B., Xu, Y., & Ng, E. (2019). Detecting Multi-Temporal Land Cover Change and Land Surface Temperature in Pearl River Delta by Adopting Local Climate Zone. Urban Climate, 28, 100455.
Wibowo, A., & Salleh, K. O. (2018) Land Cover Types And Their Effect On The Urban Heat Signature of University Campuses Using Remote Sensing. International Journal of Technology, 9(3), 479–490.
Wibowo, A., Yusoff, M. M., & Salleh, K. O. (2020). Monitoring Urban Heat Signature And Profiles of Localized Urban Environment in The University of Malaya. IOP Conference Series: Earth and Environmental Science, 481(1)
Wibowo, A., Yusoff, M. M., & Shidiq, I. P. A. (2020). Urban Heat Hazard Threat on University Campus (University of Indonesia and University of Malaya). International Journal of GEOMATE, 19(76), 141–148.
Wibowo, A., Yusoff, M. M., Adura, T. A., & Zaini, L. H. (2020). Spatial Model of Air Surface Temperature Using Landsat 8 TIRS. IOP Conference Series: Earth and Environmental Science, 500(1).
Wong, N. H., & Yu, C. (2005). Study Of Green Areas and Urban Heat Island In A Tropical City. Habitat International, 29(3), 547–558.
Xiao, Honglin, & Weng, Q. (2007). The Impact of Land Use And Land Cover Changes on Land Surface Temperature in A Karst Area of China. Journal of Environmental Management, 85(1), 245–257.
Yudithia, F. A., Jaelani, L. M., & Handayani, H. H. (2021). Analisis Persebaran Keanekaragaman Hayati pada Pohon dan Potensinya Dalam Penyerapan Emisi Karbon di Wilayah Perkotaan Menggunakan Data Foto Udara dan Lidar. Jurnal Teknik ITS, 9(2), 41-47.
Zhang, Y., Su, Z., Li, G., Zhuo, Y., & Xu, Z. (2018). Spatial-temporal evolution of sustainable urbanization development: A perspective of the coupling coordination development based on population, industry, and built-up land spatial agglomeration. Sustainability, 10(6), 1766.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Rizki Yaqubara Arridha, Adi Wibowo, Revi Hernina
This work is licensed under a Creative Commons Attribution 4.0 International License.
