| Title | Multi-resolution integration of land cover for sub-pixel estimation of urban impervious surface and forest cover |
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| Author | Zhang, Y; Guindon, B |
| Source | International Journal of Digital Earth vol. 2, no. 2, 2009 p. 89-108, https://doi.org/10.1080/17538940802585507  Open Access |
| Year | 2009 |
| Alt Series | Natural Resources Canada, Contribution Series 20181898 |
| Publisher | Informa UK Limited |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | geophysics; remote sensing |
| Program | Canada Centre for Remote Sensing Divsion |
| Released | 2009 06 01 |
| Abstract | A methodology is presented for estimating percent coverage of impervious surface (IS) and forest cover (FC) within Landsat thematic mapper (TM) pixels of urban areas. High-resolution multi-spectral
images from Quickbird (QB) play a key role in the sub-pixel mapping process by providing information on the spatial distributions of ISs and FCs at 2.4 m ground sampling intervals. Thematic classifications, also derived from the Landsat imagery, have
then been employed to define relationships between 30 m Landsat-derived greenness values and percent IS and FC. By also utilizing land cover/land use classification derived from Landsat and defining unique relationships for urban sub-classes (i.e.
residential, commercial/industrial, open land), confusion between impervious and fallow agricultural lands has been overcome. Test results are presented for Ottawa-Gatineau, an urban area that encompasses many aspects typical of the North American
urban landscape. Multiple QB scenes have been acquired for this urban centre, thereby allowing us to undertake an in-depth study of the error budgets associated with the fractional inference process. |
| GEOSCAN ID | 312253 |
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