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Land Cover Change and Urban Greenery Prediction in Jabotabek by using Remote Sensing

Zain, Alinda-Medrial   (Graduate School of Agricultural and Life Sciences, The University of TokyoUU0015024  ); Takeuchi, Kazuhiko   (Graduate School of Agricultural and Life Sciences, The University of TokyoUU0015024  ); Tsunekawa, Atsushi   (Graduate School of Agricultural and Life Sciences, The University of TokyoUU0015024  );
  • 초록

    The tremendous growth of population and physical development in the largest urban agglomeration in Indonesia -the Jakarta Metropolitan Region, also known as Jabotabek (Jakarta, Bogor, Tanggerang, Bekasi)- has created many environmental problems, such as land use conversion, increasing urban temperature, water and air pollution, intrusion of seawater, and flooding. These problems have become more serious as the urban green space (trees, shrubs, and groundcovers) has decreased rapidly with the urbanization process. Urban green space directly benefits the urban environment through ameliorating air pollution, controlling temperature, contributing to the balance of the hydrological system, and providing space for recreation and relaxation. Because there is little hard data to support the claim of decreasing greenery in Jabotabek, it is necessary to measure the amount of urban green space. The paper describes the spatial analysis of urban green space within Jabotabek through the use of a geographical information system (GIS). We used GIS and remote sensing to determine land cover change and predicted greenery percentage. Interpretation of Landsat data for 1972, 1983, 1990, and 1997 showed that Jabotabek has experiences rapid development and associated depletion of green open space. The proportion of green open space fell by 23% from 1972 to 1997. We found a low percentage of urban green space in the center of Jakarta but a high percentage in fringe area. The amount of greenery is predicted by the Ratio Vegetation Index (RVI) model: predicted greenery (%) = [146.04] RVI - 134.96. We consider that our result will be useful for landscape planning to improve the environment of Jabotabek.


  • 주제어

    Urbanization .   Urban green space .   Landsat .   Vegetative indices .   RVI model.  

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