Pemanfaatan Data Landsat Multitemporal Untuk Pemetaan Pola Ekspansi Perkotaan Secara Spasiotemporal (Studi Kasus Pada Tiga Perkotaan Metropolitan Di Pulau Jawa)
Like Indrawati(1*), Ari Cahyono(2)
(1) Program Studi Diploma 3 Penginderaan Jauh dan SIG, Departemen Teknologi Kebumian, Sekolah Vokasi, UGM
(2) Departemen Sains Informasi Geografi, Fakultas Geografi, UGM
(*) Corresponding Author
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A.A. Belal,, F.S. Moghanm, (2011) Detecting urban growth using remote sensing and GIS techniquesin Al Gharbiya governorate, Egypt. The Egyptian Journal of Remote Sensing and SpaceScience. 14: 73-79
Angelica I. STAN, (2013). Morphological Patterns of Urban Sprawl Territories. Urbanism.Arhitectură. Construcţii • Vol. 4 • Nr. 4
Breiman, L., (2001). Random forest. Mach. Learning 45: 5–32
Cutler, David Richard, Thomas C. Edward, Karen, H Beard, Joshua J. Lawler, (2007). Random Forestfor Classification in Ecology, Ecology 88(11): 2783-92
Díaz-Uriarte and Sara Alvarez de Andrés (2006). Gene selection and classification of microarraydata using random forest. BMC Bioinformatics 7/3: 1-13
Duro, D.C., Franklin, S.E., Dube, M.G.,(2012). A comparison of pixel-based and object-based imageanalysis with selected machine learning algorithms for the classification of agriculturallandscapes using SPOT-5 HRG imagery. Remote Sens. Environ. 118: 259–272.
Forman, Richard T., (1995), Land Mosaics: the ecology of landscapes and regions: Land Mosaics: theecology of landscapes and regions. Cambridge University Press, Cambridge.
Genuera, Robin, Jean-Michel Poggi, Christine Tuleau-Malotc. (2010). Variable selection usingRandom Forests. Pattern Recognition Letters 31: 142225-2236
Guo, L., Chehata, N., Mallet, C., Boukir, S., (2011). Relevance of airborne lidar and multispectralimage data for urban scene classification using Random Forests. ISPRS International Journal ofPhotogrammetry and Remote Sensing 66: 56–66
Hoffhine Wilson, E., Hurd, J.D., Civco, D.L., Prisloe, M.P., Arnold, C., 2003. Development of ageospatial model to quantify, describe and map urban growth. Remote Sens. Environ 86 (3):275–285
Huang, J., Lu, X., Sellers, J., 2007. A global comaparative analysis of urban foirm; applying spatialmetrics and remote sensing . Landscape Urban Plan 82(4) 184-197
Janthy Trilusianthy Hidajat, Santun R.P Sitorus, Ernan Rustiadi dan Machfud (2013) DinamikaPertumbuhan dan Status Keberlanjutan Kawasan Permukiman di Pinggiran Kota WilayahMetropolitan Jakarta. Globe Volume 15 No. 1Juni 2013 : 93 - 100
Karen C. Seto, Michail Fragkias, Burak Güneralp, Michael K. Reilly. (2011). A Meta-Analysis ofGlobal Urban Land Expansion. PLoS ONE, 6, e23777. [online]http://dx.doi.org/10.1371/journal.pone.0023777 (Published: August 18, 2011) (diakses : 9 Maret2017)
Lambin, E.F., 1996. Change detection at multiple scales: seasonal and annual variations in landscapevariables. Photogrammetric Engineering and Remote Sensing, 62:931-938
Lei Ma, Tengyu Fu , Thomas Blaschke , Manchun Li, Dirk Tiede , Zhenjin Zhou , Xiaoxue Ma andDeliang Chen, (2017), Evaluation of Feature Selection Methods for Object-Based Land CoverMapping of Unmanned Aerial Vehicle Imagery, ISPRS Int. J. Geo-Inf., 6: 51;doi:10.3390/ijgi6020051 www.mdpi.com/journal/ijgi
Lichtenegger, J., 1992. ERS-1: land use mapping and crop monitoring: a first close look to SAR data.Earth Observation Quarterly, (May-June):37-38.
Lo, C.P., 1981. Land use mapping of Hong Kong from landsat images: an evaluation. Int. J. Rem.Sens. 2 (3), 231–251
Luck M. and Wu J. 2002. A gradient analysis of urban landscape pattern: A case study from thePhoenix Metropolitan region of USA. Landscape Ecology 17: 327–329
Ma, L.; Cheng, L.; Li, M.; Liu, Y.; Ma, X. (2015) Training set size, scale, and features in geographicobject-based image analysis of very high resolution unmanned aerial vehicle imagery. ISPRSInternational Journal of Photogrammetry and Remote Sensing, 102: 14–27
Muchoney, D.M., Haack, B.N., 1994. Change detection for monitoring forest defoliation.Photogrammetric Engineering and Remote Sensing, 60:1243-1314
Mukherjee, S., 1987. Landuse maps for conservation of ecosystems. Geogr. Rev. Ind. 3, 23–28
Puissant, A.; Rougier, S.; Stumpf, A. (2014). Object-oriented mapping of urban trees using randomforest classifiers. Int. J. Appl. Earth Obs. Geoinf., 26: 235–245.
Quarmby, N.A., Cushine, J.L., 1989. Monitoring urban land cover changes at the urban fringe fromSPOT HRV imagery in South East England. Int. J. Rem. Sens. 10 (6), 231–251.
Sailer, C.T., Eason, E.L.E., Brickey, J.L., 1997. Operational multispectral information extraction: theDLPO image interpretation program. Photogrammetric Engineering and Remote Sensing,63:129-136
Schneider, A.; Mertes, C.M. (2014). Expansion and growth in Chinese cities, 1978–2010. Environmental Research Letters, 9: 69–75.
Sierra, P. Pons, X., Sauri., D., 2003. Post-classification change detection with data from differentsensors; some accuracy considerations. Int. J. Remote Sensing 24 (16), 3311-1140
Stumpf, A.; Kerle, N. (2011) Object-oriented mapping of landslides using random forests. RemoteSens. Environ., 115: 2564–2577
Tateishi, R., Kajiwara, K., 1991. Global Lands Cover Monitoring by NOAA NDVI Data. Proceedingof International Workshop of Environmental Monitoring from Space. Taejon, Korea, p.37-48.
Wenjia Wu, Shuqing Zhao, Chao Zhu, Jinliang Jiang. (2015). A comparative study of urban expansionin Beijing, Tianjin and Shijiazhuang over the past three decades. Landscape and UrbanPlanning 134 : 93–106
Wenjuan Yu, Weiqi Zhou, Yuguo Qian, Jingli Yan. (2016). A new approach for land coverclassification and change analysis: Integrating backdating and an object-based method. RemoteSensing of Environment 177: 37–47 [online] www.elsevier.com/locate/rse (diakses: 1 Maret2017)
Wenjuan Yu and Weiqi Zhou.(2017). The Spatiotemporal Pattern of Urban Expansion in China: AComparison Study of Three Urban Megaregions. Remote Sens. 9: 45
Wu, J.; Jenerette, G.D.; Buyantuyev, A.; Redman, C.L (2011) Quantifying spatiotemporal patterns ofurbanization: The case of the two fastest growing metropolitan regions in the United States.Ecol. Complex 8: 1–8.
Xian, G. Crane, M., 2005. Assesments of urban growth in the Tampa Bay watershed using remotesensing data. Remote Sensing Env. 97(2)203-215
Xu, C.; Liu, M.S.; Zhang, C.; An, S.Q.; Yu, W.; Chen, J.M. (2007). The spatiotemporal dynamics ofrapid urban growth in the Nanjing metropolitan region of china. Landsc. Ecol., 22: 925–937.
Van der Geer, J., Hanraads, J. A. J., & Lupton, R. A. (2010). The art of writing a scientific article.Journal of Scientific Communications, 163: 51 – 59.
BPS Kota Surabaya, Kota Surabaya Dalam Angka 2015
BPS Kota Semarang, Kota Semarang Dalam Angka 2016
BPS Statistik DKI. Jakarta. Statistik Daerah Provinsi DKI Jakarta 2015
Elena Besussi, Nancy Chin, Michael Batty, and Paul Longley (Chapter 2).T. Rashed and C. Jürgens(eds.), (2010). Remote Sensing of Urban and Suburban Areas, Remote Sensing and DigitalImage Processing, Springer Science+Business Media B.V
Forman, Richard T., (1995), Land Mosaics: the ecology of landscapes and regions: Land Mosaics: theecology of landscapes and regions. Cambridge University Press, Cambridge.
I Made Parsa dan Tatik Kartika (2015). Teknik Segmentasi dan Klasifikasi Berjenjang UntukPemetaan Lahan awah Menggunakan Citra SPOT-6 (Studi Kasus Kabupaten Maros, SulawesiSelatan). Pemmanfataan Citra Penginderaan Jauh untuk Sumberdaya Wilayah Darat. Bogor;CRESTPENT Press
Khila Dahar (2015). Urban growth forms or types. http://www.arcgis.com/home/item.html?id=325cb9c2b45a4e87b544f10ef78f51b0, diakses tanggal 13 Juli 2017
Indrawati, Like, Sudaryatno (2016). Pemetaan Berorientasi Objek Untuk Ekstraksi BangunandanVegetasi di Area Perkotaan Menggunakan Klasifikasi Random Forest Pada Citra Pleides 1-B. Prosiding Seminar Nasional Teknologi Terapan Tahun 2016. Sekolah Vokasi UGM.
DOI: https://doi.org/10.22146/jntt.39091
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