High-quality observation of surface imperviousness for urban runoff modelling using UAV imagery
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منابع مشابه
UAV-based mapping of surface imperviousness for water runoff modelling
Modelling rainfall-runoff processes in urban catchments has become an increasingly relevant issue, for instance to estimate the risk associated with urban flooding in densely populated areas. This needs hydrological models which, besides rainfall information, require good input data of detailed surface characteristics, such as imperviousness to accurately predict rainfall-runoff. One way to obt...
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Percent imperviousness is an important parameter in modelling urban rainfall-runoff processes. This parameter is usually determined using manual methods such as the random sampling method or conventional accounting method. In this study, two computerized methods of automatic extraction of percent imperviousness using high altitude remote sensing imagery are developed. These methods include the ...
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The concept of low impact development LID is to apply decentralized on-site runoff source control to preserve the watershed hydrologic and ecological functions. An integrated layout using bioretention and vegetated landscape can decrease the developed runoff volume and peak flow. One of the key factors in urban hydrology is the imperviousness in the watershed. The conventional approach is to we...
متن کاملDevelopment of a Population Density and Land Use Based Regression Model to Calculate the Amount of Imperviousness
Nonpoint source pollution has been cited as the nation’s number one water quality problem and urban runoff is the pollutant of greatest concern. It has been noted that the amount of urban runoff and its impacts on stream conditions and water quality are correlated to anthropogenic watershed imperviousness. While much research has focused on quantifying this relationship, little work has been do...
متن کاملSynergistic Use of Lidar and Color Aerial Photography for Mapping Urban Parcel Imperviousness
The imperviousness of land parcels was mapped and evaluated using high spatial resolution digitized color orthophotography and surface-cover height extracted from multiple-return lidar data. Maximum-likelihood classification, spectral clustering, and expert system approaches were used to extract the impervious information from the datasets. Classified pixels (or segments) were aggregated to par...
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تاریخ انتشار 2015