Title
Impact of Urban Land-Cover Classification on Groundwater Recharge Uncertainty
Abstract
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...
Year
DOI
Venue
2012
10.1109/JSTARS.2012.2206573
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Image classification,Urban areas,Remote sensing,Image segmentation,Monte Carlo methods,Hydrology
Impervious surface,Hydrological modelling,Water balance,Remote sensing,Surface runoff,Mahalanobis distance,Contextual image classification,Land cover,Groundwater recharge,Mathematics
Journal
Volume
Issue
ISSN
5
6
1939-1404
Citations 
PageRank 
References 
5
0.53
9
Authors
10
Name
Order
Citations
PageRank
Eva M. Ampe181.41
Iris Vanhamel21009.96
Elga Salvadore370.92
Jef Dams460.91
i bashir550.53
Luca Demarchi6182.26
Jonathan Cheung-Wai Chan715518.46
Hichem Sahli847565.19
Frank Canters917021.66
Okke Batelaan10366.89