Faculty Publications

Using Remotely Sensed Impervious Surface Data to Estimate Population

Document Type

Book Chapter

Journal/Book/Conference Title

Remote Sensing of Impervious Surfaces

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Urbanization is continuously accelerated accompanied with increasing congregation of population in cities, with and without planned development. Reports have shown that over 45% of people worldwide live in urban areas currently [1] and this number will reach 50% by the year 2010 [2]. Accurate, up-to-date, detailed, and spatially explicit estimation of population at different scales is required to support urban land management decision making and planning. Much of traditional methods for population estimation is based on census data, which are recognized as a laborintensive and expensive task and to have difficulty in updating database regularly [3-5]. As a cost-effective data acquisition technology, remote sensing has been increasingly used in estimating population in recent years in response to the flourishing of various remotely sensed data [3,4,6].


Department of Geography

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DOI of published version