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Abstract

For urban planning and management, it is essential that detailed and up-to-date information about the urban ecosystem, with its high level of pattern heterogeneity, is available. In urban areas the steadily increasing land requirements for housing, new areas zoned for economic activities, and new provision of infrastructure, all lead to a reduction of green and open spaces. Owing to their high dynamism, such changes call for the use of methods which allow not only the updating of the planning basis, but also the recording of the consequences (Spitzer 1998). Remote sensing data can provide essential information that is both inexpensive and up-to-date. Formerly, this was only possible with high-cost airborne data. Today, high-resolution satellite data such as IKONOS, with more spectral information and 1–4 m spatial resolution, as well as alternative classification methods based on object-oriented analyses, plays an important role in urban studies.

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Krellenberg, K. (2007). Urban Environmental Monitoring in Buenos Aires — Determining Green Areas. In: Netzband, M., Stefanov, W.L., Redman, C. (eds) Applied Remote Sensing for Urban Planning, Governance and Sustainability. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68009-3_5

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