Abstract. Urban soils are of increasing interest for their potential to provide ecosystem services such as carbon storage and nutrient cycling. Despite this, there is limited knowledge on how soil sealing with impervious surfaces, a common disturbance in urban environments, affects these important services. In this paper, we investigate the effect properties, stocks. We undertook comparative su...

Urbanization is a pervasive global trend. The development of residential areas and road network in Hajighoshan watershed (northern Iran) has been observed in the recent several decades. The objective of this study is the quantitative investigation of the effects of impervious surfaces development and urban development on runoff generation and flood hazard. The study of urban area development wa...

Urbanisation is accelerating urban land use dynamics and this has a significant impact on surface temperature (LST). Impervious surfaces increase in air pollution led to the temperature. This study reports of geospatial technologies monitor quantify changes LST using remotely sensed data City Tshwane. Land was retrieved winter summer Landsat datasets for 1997 2015 MODIS from 2000 2015. extracte...

The runoff coefficient was the primary parameter used in both site-scale and area-wide calibration efforts. This coefficient is directly related to the type of land use and land cover observed within the drainage area. The land use was represented in the model as pervious and impervious surfaces assigned to subcatchment areas within the system. In the 2007 InfoWorks (IW) Model, the runoff coeff...

One of the most important tasks in urban remote sensing is the detection of impervious surfaces (IS), such as roofs and roads. However, detection of IS in heterogeneous areas still remains one of the most challenging tasks. In this study, detection of concrete roof using an object-based approach was proposed. A new rule-based classification was developed to detect concrete roof tile. This propo...

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...

As an important indicator of anthropogenic impacts on the Earth’s surface, it is of great necessity to accurately map large-scale urbanized areas for various science and policy applications. Although spectral mixture analysis (SMA) can provide spatial distribution and quantitative fractions for better representations of urban areas, this technique is rarely explored with 1-km resolution imagery...

Urban development has expanded rapidly in the Las Vegas, Nevada metropolitan area over the last fifty years. Associated with this growth trend has been the transformation of the landscape from natural cover types to increasingly impervious urban land. To map urban extent and its change over time, an innovative approach is employed that determines sub-pixel impervious surfaces from highresolutio...

Population data are key indicators of policymaking, public health, and land use in urban ecological systems; however, traditional censuses time-consuming, expensive, laborious. This study proposes a method modelling population density estimations based on remote sensing Hefei. Four models with impervious surface (IS), night light (NTL), point interest (POI) as independent variables constructed ...