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Exposing the urban continuum: Implications and cross-comparison from an interdisciplinary perspective
Johannes H Uhl1, Hamidreza Zoraghein2, Stefan Leyk1
1Department of Geography, University of Colorado Boulder, Boulder, Colorado, USA.
International Journal of Digital Earth
|October 5, 2020
Summary
Comparing geospatial data for human settlement analysis reveals varying accuracy. This study cross-validates remote sensing, census, and cadastral data to model urban, peri-urban, and rural areas, informing future data use.
Area of Science:
- Geoinformatics and Geospatial Analysis
- Urban Studies and Planning
- Remote Sensing and Earth Observation
Background:
- Increasing availability of diverse geospatial data (remote sensing, census, cadastral) offers new opportunities for modeling human settlement patterns.
- Limited research exists on the agreement and comparability of these different data products in measuring human presence.
- Understanding data discrepancies is crucial for accurate characterization of the urban-rural continuum.
Purpose of the Study:
- To quantitatively evaluate and cross-compare the ability of different geospatial data types to model the urban continuum.
- To assess the agreement between remote sensing-based built-up land layers, census-derived population estimates, and cadastral data.
- To identify data advantages and shortcomings across various geographic settings in the U.S.
Main Methods:
- Utilized an integrated validation database comprising U.S. census data, cadastral and building footprint data, and three versions of the Global Human Settlement Layer (GHSL).
- Performed quantitative cross-comparison of data products to assess their performance in modeling human presence and settlement patterns.
- Analyzed data agreement across different geographic settings within the United States.
Main Results:
- Identified specific advantages and limitations of remote sensing, census, and cadastral data for modeling human settlement.
- Quantified the agreement and discrepancies between various data sources when measuring human presence.
- Highlighted the influence of geographic setting on the accuracy and suitability of different data types.
Conclusions:
- Findings inform future data users about the implications of data accuracy and suitability for specific applications, even in data-poor regions.
- The study provides critical insights into selecting appropriate geospatial data for urban continuum modeling.
- Cross-validation is essential for reliable characterization of human settlements using diverse data sources.
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