Land Use Dynamics of Chester County, Pennsylvania, from a Satellite Remote Sensing Perspective

Abstract The potential for using satellite data in regional planning is suggested by analyses of land cover change for a rapidly urbanizing county in Pennsylvania. Land classification maps can be generated from satellite imagery with relative ease on an annual basis, enabling communities to track the loss of their forested and agricultural lands, and the growth of residential areas and urban centers in a timely manner. Additionally, the satellite enables planners to compare spatially and temporally such environmental indicators of urbanization as surface temperature, vegetation fraction and impervious coverage. Estimates of changes in a region's evaporative energy losses, which can be related to stormwater runoff, are also possible if the satellite data is combined with a surface climate model. Urban planners and environmental agencies can use the demonstrated techniques to monitor their region's microclimate ‐ bearing in mind its implications for human comfort and the creation of sustainable living conditions.

[1]  Jean Denègre TECHNOLOGICAL PROGRESS IN GEOGRAPHICAL RESEARCH: RECENT DEVELOPMENTS IN SATELLITE REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS , 1994 .

[2]  Eugene P. Odum,et al.  THE GRANITE GARDEN: URBAN NATURE AND HUMAN DESIGN , 1984, Landscape Journal.

[3]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[4]  Bernard Pinty,et al.  Evaluation of the performance of various vegetation indices to retrieve vegetation cover from AVHRR data , 1994 .

[6]  Wayne C. Huber,et al.  Hydrology and Floodplain Analysis , 1989 .

[7]  T. Carlson,et al.  An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization , 1998 .

[8]  M. Ridd Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities , 1995 .

[9]  T. J. Chandler Urban climatology and its relevance to urban design , 1976 .

[10]  Kam Tin‐Seong Integrating GIS and remote sensing techniques for urban land‐cover and land‐use analysis , 1995 .

[11]  José A. Sobrino,et al.  Thermal remote sensing of land surface temperature from satellites: Current status and future prospects , 1995 .

[12]  T. Carlson,et al.  Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models , 1995 .

[13]  John M. Levy,et al.  Contemporary Urban Planning , 1988 .

[14]  Toby N. Carlson,et al.  The impact of land use — land cover changes due to urbanization on surface microclimate and hydrology: a satellite perspective , 2000 .

[15]  A C C Gibbs,et al.  Data Analysis , 2009, Encyclopedia of Database Systems.

[16]  E. B. Knipling Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation , 1970 .

[17]  John A. Richards,et al.  Remote Sensing Digital Image Analysis: An Introduction , 1999 .

[18]  James R. Anderson,et al.  A land use and land cover classification system for use with remote sensor data , 1976 .