HOTEX: An approach for global mapping of human built-up and settlement extent
| Autor: | Panshi Wang, James C. Tilton, Chengquan Huang, Bin Tan, Eric C. Brown de Colstoun |
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| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science 0211 other engineering and technologies Global Map 02 engineering and technology Land cover Image segmentation 01 natural sciences Cross-validation Cohen's kappa Urbanization Scale (map) Baseline (configuration management) Cartography 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2017.8127268 |
| Popis: | Understanding the impacts of urbanization requires accurate and updatable urban extent maps. Here we present an algorithm for mapping urban extent at global scale using Landsat data. An innovative hierarchical object-based texture (HOTex) classification approach was designed to overcome spectral confusion between urban and nonurban land cover types. VIIRS nightlights data and MODIS vegetation index datasets are integrated as high-level features under an object-based framework. We applied the HOTex method to the GLS-2010 Landsat images to produce a global map of human built-up and settlement extent. As shown by visual assessments, our method could effectively map urban extent and generate consistent results using images with inconsistent acquisition time and vegetation phenology. Using scene-level cross validation for results in Europe, we assessed the performance of HOTex and achieved a kappa coefficient of 0.91, compared to 0.74 from a baseline method using per-pixel classification using spectral information. |
| Databáze: | OpenAIRE |
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