| Title | Landsat urban mapping based on a combined spectral-spatial methodology |
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| Author | Guindon, B; Zhang, Y; Dillabaugh, C |
| Source | Remote Sensing of Environment 92, 2, 2004 p. 218-232, https://doi.org/10.1016/j.rse.2004.06.015 |
| Year | 2004 |
| Alt Series | Earth Sciences Sector, Contribution Series 20043310 |
| Publisher | Elsevier BV |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | geophysics; radar imagery; remote sensing; densities; urban geology; urban planning; Landsat |
| Released | 2004 08 01 |
| Abstract | Urban mapping using Landsat Thematic Mapper (TM) imagery presents numerous challenges. These include spectral mixing of diverse land cover components within pixels, spectral confusion with other land
cover features such as fallow agricultural fields and the fact that urban classes of interest are of the land use and not the land cover category. A new methodology to address these issues is proposed. This approach involves, as a first step, the
generation of two independent but rudimentary land cover products, one spectral-based at the pixel level and the other segment-based. These classifications are then merged through a rule-based approach to generate a final product with enhanced land
use classes and accuracy. A comprehensive evaluation of derived products of Ottawa, Calgary and cities in southwestern Ontario is presented based on conventional ground reference data as well as inter-classification consistency analyses. Producer
accuracies of 78% and 73% have been achieved for urban 'residential' and 'commercial/industrial' classes, respectively. The capability of Landsat TM to detect low density residential areas is assessed based on dwelling and population data derived
from aerial photography and the 2001 Canadian census. For low population densities (i.e. below 3000 persons/km2), density is observed to be monotonically related to the fraction of pixels labeled 'residential'. At higher densities, the fraction of
pixels labeled 'residential' remains constant due to Landsat's inability to distinguish between high-rise apartment dwellings and commercial/industrial structures. |
| GEOSCAN ID | 220112 |
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