Urban sprawl has been identified as one of the most negative effects of global population growth on environment and biodiversity. Integrated urban sprawl management should be promoted to limit the impact of this on-going inevitable phenomenon. Such management
should be based on frequent monitoring of the urban sprawl extension. This paper proposes a precise monitoring of the building construction using an object-based classification methodology applied to Spot 5 images at a 2.5 m resolution. The application at a regional scale on Reunion Island in the Indian Ocean shows that this building extraction methodology has limitations to produce reference urban map because of limitations for defining the shape and the number of buildings compared to classical photo-interpretation of aerial photography. However, results are of great value for urban planning in urban sprawling areas where up-to-date information is lacking because of the acceleration of house construction and residential development.
DURIEUX Laurent;
LAGABRIELLE Erwann;
NELSON Andrew;
2008-08-27
ELSEVIER SCIENCE BV
JRC35534
0924-2716,
www.elsevier.com/locate/isprsjprs,
http://dx.doi.org/10.1016/j.isprsjprs.2008.01.005,
https://publications.jrc.ec.europa.eu/repository/handle/JRC35534,
10.1016/j.isprsjprs.2008.01.005,
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