Impact of Urban Land-Cover Classification on Groundwater Recharge Uncertainty
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2012)
摘要
Objective and detailed mapping of urban land-cover types over large areas is important for hydrological modelling, as most man-made land-cover consist of sealed surfaces which strongly reduce groundwater recharge. Moreover, impervious surfaces are the predominant type in urbanized areas and can lead to increased surface runoff. Classification of man-made objects in urbanized areas is not straightf...
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关键词
Image classification,Urban areas,Remote sensing,Image segmentation,Monte Carlo methods,Hydrology
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