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 language | English |
|---|---|
| Title of host publication | Comprehensive Remote Sensing |
| Publisher | Elsevier |
| Pages | 59-66 |
| Number of pages | 8 |
| Volume | 1-9 |
| ISBN (Electronic) | 9780128032206 |
| ISBN (Print) | 9780128032213 |
| DOIs | |
| State | Published - Jan 1 2017 |
Keywords
- High-resolution satellite image
- LiDAR
- Population estimation
- Remote sensing
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