Percent of building density (PBD) of urban environment: a multi-index approach based study in DKI Jakarta Province
Ardiansyah Ardiansyah(1*), Revi Hernina(2), Weling Suseno(3), Faris Zulkarnain(4), Ramadhani Yanidar(5), Rokhmatuloh Rokhmatuloh(6)
(1) Faculty of Mathematics and Natural Science, Universitas Indonesia
(2) Faculty of Mathematics and Natural Science, Universitas Indonesia
(3) PT Infimap Geospasial Sistem
(4) Center for Applied Geography Research, Universitas Indonesia
(5) Faculty of Landscape Architecture and Environmental Technology, Trisakti University
(6) Faculty of Mathematics and Natural Science, Universitas Indonesia
(*) Corresponding Author
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Almutairi, B., El battay, A., Ait Belaid, M., & Musa, N. (2013). Comparative study of SAVI and NDVI vegetation indices in Sulaibiya Area (Kuwait) using Worldview satellite imagery. International Journal of Geosciences and Geomatics, 1(2), 2052–5591.
Bhatti, S. S., & Tripathi, N. K. (2014). Built-up area extraction using Landsat 8 OLI imagery. GIScience & Remote Sensing, 51(4), 445–467. https://doi.org/10.1080/15481603.2014.939539
Costa, D., Burlando, P., & Priadi, C. (2016). The importance of integrated solutions to flooding and water quality problems in the tropical megacity of Jakarta. Sustainable Cities and Society, 20, 199–209. https://doi.org/10.1016/J.SCS.2015.09.009
Effendi, H., Sabila, M. F., & Setiawan, Y. (2018). Correlation between water quality and land use change in Ciliwung watershed. Nature Environment and Pollution Technology, 17(1), 139–144.
Firman, T. (1997). Land conversion and urban development in the northern region of West Java, Indonesia. Urban Studies, 34(7), 1027–1046. https://doi.org/10.1080/0042098975718
Firman, T. (2009). The continuity and change in mega-urbanization in Indonesia: A survey of Jakarta–Bandung Region (JBR) development. Habitat International, 33(4), 327–339. https://doi.org/10.1016/J.HABITATINT.2008.08.005
Gao, B. (1996). NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 58(3), 257–266. https://doi.org/10.1016/S0034-4257(96)00067-3
Heald, C. L., & Geddes, J. A. (2016). The impact of historical land use change from 1850 to 2000 on secondary particulate matter and ozone. Atmospheric Chemistry and Physics, 16, 14997–15010. https://doi.org/10.5194/acp-16-14997-2016
Huete, A. . (1988). A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25(3), 295–309. https://doi.org/10.1016/0034-4257(88)90106-X
Lestari, S., Moersidik, S. S., & Syamsudin, F. (2015). Study on heat island effect induced by land use change increased temperature in metropolitan Jakarta. Journal of Mathematical and Fundamental Sciences (Vol. 47). Retrieved from http://journals.itb.ac.id/index.php/jmfs/article/view/437/849
Maktav, D., Erbek, F. S., & Jürgens, C. (2005). Remote sensing of urban areas. International Journal of Remote Sensing, 26(4), 655–659. https://doi.org/10.1080/01431160512331316469
Masek, J. G., Lindsay, F. E., & Goward, S. N. (2000). Dynamics of urban growth in the Washington DC metropolitan area, 1973-1996, from Landsat observations. International Journal of Remote Sensing, 21(18), 3473–3486. https://doi.org/10.1080/014311600750037507
Murakami, A., Kurihara, S., Harashina, K., & Zain, A. M. (2017). Features of Urbanization and Changes in the Thermal Environment in Jakarta, Indonesia (pp. 61–71). Springer, Tokyo. https://doi.org/10.1007/978-4-431-56445-4_6
Pacione, M. (2005). Urban Geography: A Global Perspective (2nd ed.). Taylor & Francis.
Pravitasari, A. E., Saizen, I., Tsutsumida, N., Rustiadi, E., & Pribadi, D. O. (2015). Local spatially dependent driving forces of urban expansion in an emerging Asian megacity: The case of Greater Jakarta (Jabodetabek). Journal of Sustainable Development, 8(1). https://doi.org/10.5539/jsd.v8n1p108
Rokhmatuloh, Nitto, D., Al Bilbisi, H., Arihara, K., & Tateishi, R. (2007). Estimating percent tree cover using regression tree method with very-high-resolution Quickbird images as training data. Journal of the Remote Sensing Society of Japan, 1, 1–12. Retrieved from https://www.jstage.jst.go.jp/article/rssj/27/1/27_1_1/_pdf
Rokhmatuloh, Nitto, D., Al Bilbisi, H., & Tateishi, R. (n.d.). Percent tree cover estimation using regression tree method: a case study of Africa with very-high resolution QuickBird images as training data. In Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS ’05. (Vol. 3, pp. 2157–2160). IEEE. https://doi.org/10.1109/IGARSS.2005.1526445
Rukmana, D. (2018). Rapid urbanization and the need for sustainable transportation policies in Jakarta. IOP Conference Series: Earth and Environmental Science, 124. https://doi.org/10.1088/1755-1315/124/1/012017
Sutjiningsih, D. (2017). Water quality index for determining the development threshold of urbanized catchment area in Indonesia. International Journal of Technology, 1, 145–159. https://doi.org/10.14716/ijtech.v8i1.3971
Syahbana Indraprahasta, G. (2013). The potential of urban agriculture development in Jakarta. Procedia Environmental Sciences, 17, 11–19. https://doi.org/10.1016/j.proenv.2013.02.006
Tsutsumida, N., & Comber, A. J. (2015). Measures of spatio-temporal accuracy for time series land cover data. International Journal of Applied Earth Observation and Geoinformation, 41, 46–55. https://doi.org/10.1016/J.JAG.2015.04.018
Waqar, M. M., Mirza, J. F., Mumtaz, R., & Hussain, E. (2012). Development of new indices for extraction of built-Up area & bare soil from Landsat data. Open Acess Scientific Reports, 1(1). https://doi.org/10.4172/scientificreports.136
Wibowo, A., & Rustanto, A. (2013). Spatial-temporal analysis of urban heat island in Tangerang City. Indonesian Journal of Geography, 45(2), 101–115. https://doi.org/10.22146/IJG.4867
Xu, H. (2007). Extraction of Urban Built-up Land Features from Landsat Imagery Using a Thematic-oriented Index Combination Technique. Photogrammetric Engineering & Remote Sensing, 12, 1381–1391.
Zha, Y., Gao, J., & Ni, S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24(3), 583–594. https://doi.org/10.1080/01431160210144570
DOI: https://doi.org/10.22146/ijg.36113
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