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Population estimation with remote sensing

  • Wuhan University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Timely small-area population estimates are critical for both public- and private-sector decision-making. Over the last decade, small-area population estimation has to a large extent benefited from the latest development of remote sensing. This study focuses on introducing methods for intercensal small-area population estimation from integrative use of airborne light detection and ranging, high-spatial-resolution satellite imagery, and nighttime satellite image. In particular, our study in Austin, Texas, provided an effective example for carrying out small-area population estimation with the integration of the state-of-the-art remote sensors.

Original languageEnglish
Title of host publicationComprehensive Remote Sensing
PublisherElsevier
Pages59-66
Number of pages8
Volume1-9
ISBN (Electronic)9780128032206
ISBN (Print)9780128032213
DOIs
StatePublished - Jan 1 2017

Keywords

  • High-resolution satellite image
  • LiDAR
  • Population estimation
  • Remote sensing

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