Catálogo de publicaciones - libros

The nexus between environmental justice and geo-technologies is an evolving one. That is to say, geographic information systems, remote sensing, and other technologies have the capacity to locate and situate the politics and place-based dangers of environmental risk within a broader conceptual and policy framework. Conceptually, GIScience has the capacity to chart new geographies of environmental risk across the urban and rural landscape. Empirically, GIScience has the capacity to map heretofore disparate datasets in an attempt to unlock the socio-economic determinants of “who’s at risk and where?” In this paper, we build on the earlier work of Buzzelli to explore the socio-spatial dynamics of environmental risk in Terre Haute, Vigo County, Indiana. Using GIS, remote sensing, census, and environmental data, the paper presents a framework for unlocking the spatial dynamics of socioeconomic status and environmental risk across urban and rural neighborhoods in Vigo County.

The collection of papers in this volume includes standard urban applications of GIS and multi-spectral remote sensing—as well as applications that demonstrate the utility of emerging (and increasingly accessible) technologies, such as LIDAR (J. Jensen et al.). The inclusion of LIDAR examples reflects the growing use of LIDAR technologies in urban planning and civil engineering. The precision of this technology makes it ideal for use in complex urban systems. Similarly, hyper-spectral sensors offer high resolution options to assess a variety of urban surfaces. With respect to both technologies, falling costs associated with both LIDAR and hyperspectral data are making these increasingly viable methods for urban data collection.