Impact of remotely sensed land-cover proportions on urban runoff prediction

详细信息	查看全文 | 推荐本文 |

• 作者：Tomasz Berezowski^a ; ^{t.berezowski@levis.sggw.pl} ; Jaros艂aw Chorma艅ski^a ; Okke Batelaan^b ; ^c ; Frank Canters^d ; Tim Van de Voorde^d
• 关键词：Hydrological modeling ; Land-cover ; Sub-pixel classification ; Impervious surfaces ; High resolution imagery ; Landsat ; Ikonos ; Urbanized catchment
• 刊名：International Journal of Applied Earth Observation and Geoinformation
• 出版年：2012
• 期刊代码：91_03032434
• 类别：ear
• 出版时间：June, 2012
• 卷：16
• 期：Complete
• 页码：54-65
• 文件大小：1388 K

摘要

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.