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UAVs and Urban Spatial Analysis pp 89–115Cite as

sUAS Data Integration for Urban Spatial Analysis

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Abstract

Using sUAS data for urban spatial analysis poses a variety of challenges. From basic, short-term concerns such as formatting, portability, and compatibility with geographic information systems (GIS) to more complex tasks associated with incorporating ground control points (GCPs) and adding supplementary geographic base files for analysis. The purpose of this chapter is to highlight the most efficient strategies for integrating sUAS data with other sources of urban information, including census and cadastral data, as well as a variety of urban/environmental databases typically available for metropolitan locales.

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Notes

  1. 1.

    Readers should know that this book provides a cursory overview of these models, at best. There are many nuances to both object and field data models, including elements of error and uncertainty, that are important for representing geographic information. For more details, readers should consult Unwin (1995), Goodchild et al. (2007) and Liu et al. (2008), among others.

  2. 2.

    Loxodromes are imaginary lines that cross all meridians of longitude at the same angle.

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Authors and Affiliations

  1. Geoinformatics and Policy Analytics Lab (GPAL), School of Information, University of Texas at Austin, Austin, TX, USA

    Tony H. Grubesic & Jake R. Nelson

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  1. Tony H. Grubesic
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  2. Jake R. Nelson
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Grubesic, T.H., Nelson, J.R. (2020). sUAS Data Integration for Urban Spatial Analysis. In: UAVs and Urban Spatial Analysis. Springer, Cham. https://doi.org/10.1007/978-3-030-35865-5_6

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