Browsing by Author "Adhikari, Bikalpa"

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    Comparison of Sky View Factor Estimates using Digital Surface Models
    (2022-02) Adhikari, Bikalpa; Wilson, Jeffrey S.; Dwyer, Owen J.; Banerjee, Aniruddha; Thapa, Bhuwan
    Better comprehension of the Urban Heat Island study requires information on the natural as well as built characteristics of the environment at high spatial resolution. Sky View Factor (SVF) has been distinguished as a significant parameter for Local Climate Zone (LCZ) classification based on environmental characteristics that influence the urban climate at finer spatial scales. The purpose of this thesis was to evaluate currently available data sources and methods for deriving continuous SVF estimates. The specific objectives were to summarize the characteristics of currently available digital surface models (DSMs) of the study region and to compare the results of using these models to estimate SVF with three different raster-based algorithms: Horizon Search Algorithm in R-programming (Doninck, 2018), Relief Visualization Toolbox (RVT) (Žiga et al., 2016), and the Urban Multi-scale Environmental Predictor (UMEP) plugin in QGIS (Lindberg, et al., 2018).
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    Sky View Factor Measurements in Support of Local Climate Zone Classification
    (Indiana View, 2020) Adhikari, Bikalpa; Wilson, Jeffrey S.; Geography, School of Liberal Arts
    Increasing urbanization coupled with threats from global climate change are driving research innovations that seek to inform sustainability of urban socio-ecological systems. The Local Climate Zone (LCZ) classification system developed by Stewart and Oke (2012) provides a framework for examining relationships between urban morphology and temperature, as well as a standardized approach to facilitate data integration from around the globe. In addition to urban heat island studies, parameters used to define LCZs are increasingly applied in related fields, such as modeling fine-scale variations in urban air quality (Badach et al., 2020).