Linking Urban Field Theory with Gis and Remote Sensing to Detect Signatures of Rapid Urbanization on the Landscape

Toward a New Approach for Characterizing Urban Sprawl

Datos Bibliográficos

ID11670521
AutoresHui Zeng (0009-0000-3792-9815, Peking University, autor de correspondencia), Daniel Z Sui (0009-0006-1129-021X, Texas A&M University), Shujuan Li (0000-0002-0494-870X, Mitchell Institute)
Año2005
Volumen26
Número5
Páginas410-434
Fecha de publicación2005-08-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaUrban Geography (JOURNAL)
Identificadores de la revistaISSN: 0272-3638 • E-ISSN: 1938-2847
EditorialTaylor & Francis (PUBLISHER • GB)
DOI10.2747/0272-3638.26.5.410
OpenAlexW2159553538
IdiomaEN
Citas recibidas7
Referencias citadas85

Accelerating urbanization all over the world has renewed interdisciplinary interests and public concerns over the impacts of rapid urbanization in general and urban sprawl in particular. Despite the voluminous literature on the costs and impacts of urban sprawl, we still do not have a conceptually rigorous and operationally straightforward methodology to quantitatively characterize sprawl in space and time. By integrating GIS and remote sensing techniques, this paper presents a new quantitative method to measure and visualize urban sprawl. Conceptually grounded in the notion of urban field, this method is capable of comparing new built-up areas against the background of two-dimensional urban fields in the emerging new galactic metropolis. The new approach was tested in the city of Nanchang, China, for detecting signatures of the three types of sprawl—continuous, infilling/amalgamated, and leapfrog—on the landscape. Initial results demonstrated the robustness of the method, with each type of sprawl exhibiting different spatial and temporal signatures

Economic geography · Environmental planning · Field (mathematics · Geography · Remote sensing · Urban geography · Urban landscape · Urban planning · Urban sprawl · Urbanization · Impact of Light on Environment and Health · Land Use and Ecosystem Services · Remote Sensing and Land Use · Ecology