Telah dilakukan pemetaan tutupan lahan dan perkembangannya dalam skala detil (1 : 5.000) dengan radius 5 km dari pusat tapak rencana pembangunan Reaktor Daya Eksperimental (RDE) di Kawasan Nuklir Serpong (KNS), PUSPIPTEK Serpong. Tujuan penelitian adalah untuk membuat database penggunaan lahan skala detil 1:5.000 sebagai persiapan dalam rencana pembangunan RDE dan melengkapi peta tutupan lahan skala 1: 10.000. Metode penelitian dilakukan dalam beberapa tahap, yaitu pengumpulandan pengolahan data citra, ground check lapangan, analisis penggunaan lahan radius 300-500 m, radius 1,2,3,4, dan 5 km dari tapak RDE, serta perubahan penggunaan lahan tahun 2014-2015. Pengolahan citra satelit dilakukan di Pusat Pemetaan dan Tataruang, Badan Informasi Geospasial (BIG). Pengolahan data menggunakan program ArcGis dan Er Mapper, sedangkan analisis data citra satelit menggunakan Image Analysis yang merupakan salah satu tool dalam ArcGis. Hasil penelitian menunjukkan bahwa tutupan lahan KNS setelah radius 3 km merupakan pemukiman yang padat di berbagai tempat. Perubahan penggunaan lahan pada tahun 201 4-201 5 menunjukkan bahwa terjadi perkembangan pesat pemukiman ditunjukkan dengan peningkatan luasan pemukiman di bagian Utara – Timur kawasan PUSPIPTEK.
The city of Surabaya is the second largest city in Indonesia which still has active wetlands in the form of mangrove and ponds cultivation areas. This wetland has an important contribution to the environmental balance, protection of biodiversity, as well as maintaining the ecological function of the urban area to continue properly. Specifically this region contributes to surface water control which is an absolute prerequisite for the sustainability of settlements in urban zones. Urbanization and economic dynamics continue to drive increasingly highly demands of land, so that wetland areas continue to experience pressure and turn into built-up land use. The spatial dynamics model of land use change is one of the important instruments that can be used to analysis of urban dynamics complexes. This model using 2 methods in stages. First, the spatial data mining (SDM) method used to determine indicators of agents that contribute on the fragmentation of wetlands. Second, the integration method of Markov Change and Cellular Automata (CA) models for spatial land use projection. The results showed that the integration of SDM methods and Markov-CA contributed significantly to improving the accuracy of the results of land use projection. This model is then referred to as guided spatial projection where the process of urban sprawl can be shown to be more rational and logical. The results of the research are projections of the dynamics of land use that are used as input in calculating the surface runoff as one indicator of sustainability for urban settlements.
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