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| Titel: |
Sensing Sprawl: Towards the Monitoring of Urban Expansion Using Dempster-Shafer Theory |
| Auteur: |
Lein, James K. |
| Verschenen in: |
Geocarto international |
| Paginering: | Jaargang 18 (2003) nr. 2 pagina's 61-70 |
| Jaar: |
2003-06 |
| Inhoud: |
The outward expansion of cities in the United States has been a source of concern and policy debate for well over forty years. This sprawling urban landscape has been cited as a contributing factor behind the loss of open space, environmental damage and increased congestion. To better understand urban expansion, monitoring programs are required to facilitate the systematic observation of urban expansion, and to provide critical information in order to adjust urban development policies. Monitoring the urban landscape has been a major application focus of satellite remote sensing technologies. Yet, research has shown that the complexity of the urban landscape frustrates simple characterization of cumulative land cover processes such as sprawl. In this paper an approach to the remote detection and characterization of sprawl is introduced based on the use of Dempster-Shafer Theory of Evidence. Functioning as a soft-classification algorithm, Demptster-Shafer Theory offers a unique solution to the mapping problem when evidence of class structure in underscored by uncertainty. Through the use of this technique it was possible to model uncertainty based on the concept of belief. This conceptualization was instrumental in deciphering the complexities of urban land cover arrangements and offered an alternative logic which enhanced delineation of subtle changes in land cover indicative of sprawl. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 201 van 250 gevonden artikelen
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