Title
Impact of remotely sensed land-cover proportions on urban runoff prediction.
Abstract
Land-cover impacts volume, intensity and contamination of runoff generated by rainfall events in catchments. This study demonstrates how the method used for estimation of land-cover proportions impacts the runoff from a distributed, physically based hydrological model - WetSpa. The study area is the urbanized catchment of Biala River, situated in the northeastern part of Poland. Three scenarios of land-cover proportion estimation were tested: a semi-distributed approach where the average proportion of impervious surface cover per land-use type is estimated based on hard classification of a high-resolution IKONOS scene and two distributed approaches with land-cover class proportions estimated at the level of individual cells based on hard classification of a high-resolution IKONOS scene and sub-pixel classification of a medium-resolution Landsat 5 TM scene respectively. Validation of the three scenarios based on a comparison of modeled versus observed discharge shows that best results are obtained for the two distributed scenarios with a Nash-Sutcliffe efficiency (NS) of 0.62 for the hard classification approach and NS = 0.63 for the sub-pixel approach. The hard classification approach performed best in the estimation of peak discharges. The semi-distributed modeling scenario resulted in the lowest simulation efficiency (NS = 0.40) and did not perform well in estimating observed peak discharges. It is concluded that scenarios in which land-cover proportions are distributed improved considerably the simulation results of hydrological processes in physically based models. (C) 2011 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2012
10.1016/j.jag.2011.11.007
International Journal of Applied Earth Observation and Geoinformation
Keywords
Field
DocType
Hydrological modeling,Land-cover,Sub-pixel classification,Impervious surfaces,High resolution imagery,Landsat,Ikonos,Urbanized catchment
Impervious surface,Drainage basin,Hydrology,Remote sensing,Surface runoff,Land cover,Geography,Urban runoff,Precipitation
Journal
Volume
ISSN
Citations 
16
0303-2434
3
PageRank 
References 
Authors
0.74
3
5
Name
Order
Citations
PageRank
Tomasz Berezowski131.41
Jaroslaw Chormanski242.98
Okke Batelaan3366.89
Frank Canters417021.66
Tim Van de Voorde5578.78