Geobia approach for urban land use mapping: random forests and spatial metrics relationship for Ciudad Juarez, Chihuahua, Mexico
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Date
2016
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AESOP
Abstract
Since 2007 half of the world inhabitants have been living in urban areas; and by the year 2050 is projected that the urban population will surpass 60% of the total world population (United Nations, 2014; 2015). This expansion is most likely to happen in developing countries (Graizbord, 2007). Some of these countries do not count with the resources to cope with this growing social phenomenon, thus causing segregation, slums, deficiency of infrastructure, social inequality and uncontrollable sprawl. This has become one of the main challenges for those countries all over the world that have been working on solutions to provide acceptable conditions and quality of life for the growing population in urban areas. The demographic growth has indeed raised many concerns such as, environmental, economic, hydrological, heat fluxes, micro-climatic, violence, irregular settlements, visual, sound, air and water pollution, social and psychological issues.
The main objective of this paper is to apply a novel method to extract the urban land use from remotely sensed images. This is due to the fact that there is a need to improve methodologies that can update and identify the constant complex changing patterns and spatial development of urban areas.
Description
Proceedings of the IV World Planning Schools Congress, July 3-8th, 2016 : Global crisis, planning and challenges to spatial justice in the north and in the south
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