The Generalised Settlement Area: mapping the Earth surface in the vicinity of built-up areas

References

• Akbari, H., H. D. Matthews, and D. Seto. 2012. “The Long-Term Effect of Increasing the Albedo of Urban Areas.” Environmental Research Letters 7 (2): 024004. doi:10.1088/1748-9326/7/2/024004.
   Web of Science ®Google Scholar
• Angel, S., J. Parent, D. L. Civco, A. Blei, and D. Potere. 2011. “The Dimensions of Global Urban Expansion: Estimates and Projections for all Countries, 2000–2050.” Progress in Planning 75: 53–107. doi:10.1016/j.progress.2011.04.001.
   Web of Science ®Google Scholar
• Bahler, D., and L. Navarro. 2000. “ Methods for Combining Heterogeneous Sets of Classiers. 12th National Conference on Artificial Intelligence (AAAI2000).” Workshop on New Research Problems for Machine Learning.
   Google Scholar
• Bai, Y., M. Feng, H. Jiang, J. Wang, Y. Zhu, and Y. Liu. 2014. “Assessing Consistency of Five Global Land Cover Data Sets in China.” Remote Sensing 6 (9): 8739–8759. doi:10.3390/rs6098739.
   Web of Science ®Google Scholar
• Chen, J., Y. Ban, and S. Li. 2014. “China: Open Access to Earth Land-Cover Map.” Nature 514 (7523): 434–434. doi:10.1038/514434c doi: 10.1038/nature13609
   Web of Science ®Google Scholar
• Chen, J., J. Chen, A. Liao, X. Cao, L. Chen, X. Chen, C. He, et al. 2015. “Global Land Cover Mapping at 30 m Resolution: A POK-Based Operational Approach.” ISPRS Journal of Photogrammetry and Remote Sensing 103: 7–27. doi:10.1016/j.isprsjprs.2014.09.002.
   Web of Science ®Google Scholar
• CIESIN, CUNY, CIDR, IFPRI, WB AND CIAT. 2017. Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Urban Extent Polygons Revision 01. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC).
   Google Scholar
• Corbane, C., M. Pesaresi, P. Politis, V. Syrris, A. J. Florczyk, P. Soille, L. Maffenini, et al. 2017. “Big Earth Data Analytics on Sentinel-1 and Landsat Imagery in Support to Global Human Settlements Mapping.” Big Earth Data, 1: 118–144. doi: 10.1080/20964471.2017.1397899
   Google Scholar
• Elvidge, C. D., J. Safran, I. L. Nelson, B. T. Tuttle, V. R. Hobson, K. E. Baugh, J. B. Dietz, and E. H. Erwin. 2004. “Area and Position Accuracy of DMSP Nighttime Lights Data.” In Remote Sensing and GIS Accuracy Assessment, edited by R. S. Lunetta and J. G. Lyon, 281–292. Washington, DC: CRC Press.
   Google Scholar
• ESA. 2017. Land Cover CCI, Product User Guide version 2.0 Ref. CCI-LC-PUG V 2 (UCL-Geomatics 2017).
   Google Scholar
• Esch, T., F. Bachofer, W. Heldens, A. Hirner, M. Marconcini, A. Metz-Marconcini, D. Palacios-Lopez, S. Üreyen, J. Zeidler, and S. Dech. 2018. Where we live – A summary of the achievements and planned evolution of the Global Urban Footprint. Submitted to: Remote Sensing (Special Issue Ten Years of TerraSAR-X—Scientific Results).
   Google Scholar
• Esch, T., M. Marconcini, A. Felbier, A. Roth, W. Heldens, M. Huber, M. Schwinger, H. Taubenböck, A. Müller, and S. Dech. 2013. “Urban Footprint Processor – Fully Automated Processing Chain Generating Settlement Masks From Global Data of the TanDEM-X Mission.” IEEE Geoscience and Remote Sensing Letters 10 (6): 1617–1621. doi:10.1109/LGRS.2013.2272953.
   Web of Science ®Google Scholar
• Florczyk, A. J., S. Ferri, V. Syrris, T. Kemper, M. Halkia, P. Soille, and M. Pesaresi. 2015. “A New European Settlement Map From Optical Remotely Sensed Data.” IIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (5): 1–15.
   Web of Science ®Google Scholar
• Fritz, S., and L. See. 2005. “Comparison of Land Cover Maps Using Fuzzy Agreement.” International Journal of Geographical Information Science 19 (7): 787–807. doi:10.1080/13658810500072020.
   Web of Science ®Google Scholar
• Fritz, S., L. See, C. Perger, I. McCallum, C. Schill, D. Schepaschenko, M. Duerauer, et al. 2017. “A Global Dataset of Crowdsourced Land Cover and Land Use Reference Data.” Scientific Data 4: Article no. 170075. doi:10.1038/sdata.2017.75.
   Web of Science ®Google Scholar
• Giri, C., Z. Zhu, and B. Reed. 2005. “A Comparative Analysis of the Global Land Cover 2000 and MODIS Land Cover Data Sets.” Remote Sensing of Environment 94: 123–132. doi:10.1016/j.rse.2004.09.005.
   Web of Science ®Google Scholar
• Gong, P., J. Wang, L. Yu, Y. Zhao, Y. Zhao, L. Liang, and J. Chen. 2013. “Finer Resolution Observation and Monitoring of Global Land Cover: First Mapping Results with Landsat TM and ETM+ Data.” International Journal of Remote Sensing 34 (7): 2607–2654. doi:10.1080/01431161.2012.748992.
   Web of Science ®Google Scholar
• IHT. 2000. The Guidelines for Providing for Journeys on Foot. Institution of Highways and Transportation. http://www.hwa.uk.com/site/wp-content/uploads/2017/09/NR.4.3F-CIHT-Guidelines-for-Providing-Journeys-on-Foot-Chapter-3.pdf
   Google Scholar
• Kaptué Tchuenté, A. T., J.-L. Roujean, and S. M. De Jong. 2011. “Comparison and Relative Quality Assessment of the GLC2000, GLOBCOVER, MODIS and ECOCLIMAP Land Cover Data Sets at the African Continental Scale.” International Journal of Applied Earth Observation and Geoinformation 13 (2): 207–219. doi:10.1016/j.jag.2010.11.005.
   Web of Science ®Google Scholar
• Klotz, M., T. Kemper, C. Geiß, T. Esch, and H. Taubenböck. 2016. “How Good is the map? A Multi-Scale Cross-Comparison Framework for Global Settlement Layers: Evidence From Central Europe.” Remote Sensing of Environment 178: 191–212. doi:10.1016/j.rse.2016.03.001.
   Web of Science ®Google Scholar
• Leyk, S., J. H. Uhl, D. Balk, and B. Jones. 2018. “Assessing the Accuracy of Multi-Temporal Built-up Land Layers Across Rural-Urban Trajectories in the United States.” Remote Sensing of Environment 204: 898–917. doi:10.1016/j.rse.2017.08.035.
   PubMed Web of Science ®Google Scholar
• Liu, X., G. Hu, Y. Chen, X. Li, X. Xu, S. Li, F. Pei, and S. Wang. 2018. “High-resolution Multi-Temporal Mapping of Global Urban Land Using Landsat Images Based on the Google Earth Engine Platform.” Remote Sensing of Environment 209: 227–239. doi:10.1016/j.rse.2018.02.055.
   Web of Science ®Google Scholar
• McGranahan, G., D. Balk, and B. Anderson. 2007. “The Rising Tide: Assessing the Risks of Climate Change and Human Settlements in low Elevation Coastal Zones.” Environment and Urbanization 19: 17–37. doi:10.1177/0956247807076960.
   Web of Science ®Google Scholar
• Melchiorri, M., A. J. Florczyk, S. Freire, and T. Kemper. 2018. “Unveiling 25 Years of Planetary Urbanization with Remote Sensing: Perspectives From the Global Human Settlement Layer.” Remote Sensing 10 (5): 768. doi:10.3390/rs10050768.
   Web of Science ®Google Scholar
• Messina, J. P., M. U. G. Kraemer, O. J. Brady, D. M. Pigott, F. M. Shearer, D. J. Weiss, N. Golding, et al. 2016. “Mapping Global Environmental Suitability for Zika Virus.” eLife 5: e15272. doi:10.7554/eLife.15272.
   PubMed Web of Science ®Google Scholar
• Ouzounis, G. K., V. Syrris, and M. Pesaresi. 2013. “Multi-scale Evaluation of Global Human Settlement Scenes Against Reference Data Using Statistical Learning.” Pattern Recognition Letters 34 (14): 1636–1647. doi:10.1016/j.patrec.2013.04.004.
   Web of Science ®Google Scholar
• Pekel, J.-F., A. Cottam, N. Gorelick, and A. S. Belward. 2016. “High-resolution Mapping of Global Surface Water and its Long-Term Changes.” Nature 540: 418–422. doi:10.1038/nature20584.
   PubMed Web of Science ®Google Scholar
• Pérez-Hoyos, A., F. J. García-Haro, and J. San-Miguel-Ayanz. 2012. “Conventional and Fuzzy Comparisons of Large Scale Land Cover Products: Application to CORINE, GLC2000, MODIS and GlobCover in Europe.” ISPRS Journal of Photogrammetry and Remote Sensing 74: 185–201. doi:10.1016/j.isprsjprs.2012.09.006.
   Web of Science ®Google Scholar
• Pesaresi, M., D. Ehrlich, S. Ferri, A. J. Florczyk, S. Freire, S. Halkia, A. M. Julea, T. Kemper, P. Soille, and V. Syrris. 2016a. Operating procedure for the production of the Global Human Settlement Layer from Landsat data of the epochs 1975, 1990, 2000, and 2014. Publications Office of the European Union, EUR 27741 EN.
   Google Scholar
• Pesaresi, M., D. Ehrlich, A. J. Florczyk, S. Freire, A. Julea, T. Kemper, P. Soille, and V. Syrris. 2015. GHS built-up grid, derived from Landsat, multitemporal (1975, 1990, 2000, 2014). European Commission, Joint Research Centre (JRC) [Dataset]. http://data.europa.eu/8914;h/jrc-ghsl-ghs_built_ldsmt_globe_r2015b.
   Google Scholar
• Pesaresi, M., A. Gerhardinger, and F. Kayitakire. 2008. “A Robust Built-Up Area Presence Index by Anisotropic Rotation-Invariant Textural Measure.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1 (3): 180–192. doi:10.1109/JSTARS.2008.2002869.
   Web of Science ®Google Scholar
• Pesaresi, M., H. Guo, X. Blaes, D. Ehrlich, S. Ferri, L. Gueguen, M. Halkia, et al. 2013. “A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 (5): 2102–2131. doi:10.1109/JSTARS.2013.2271445.
   Web of Science ®Google Scholar
• Pesaresi, M., V. Syrris, and A. Julea. 2016b. “A New Method for Earth Observation Data Analytics Based on Symbolic Machine Learning.” Remote Sensing 8 (5): 399. doi:10.3390/rs8050399.
   Web of Science ®Google Scholar
• Potere, D., A. Schneider, S. Angel, and D. L. Civco. 2009. “Mapping Urban Areas on a Global Scale: Which of the Eight Maps now Available is More Accurate?” International Journal of Remote Sensing 30: 6531–6558. doi:10.1080/01431160903121134.
   Web of Science ®Google Scholar
• Sabo, F., C. Corbane, and S. Ferri. 2017. Inter-sensor Comparison of Built-up Derived From Landsat, Sentinel-1, Sentinel-2 and SPOT5/SPOT6 Over Selected Cities. Luxembourg: Publications Office of the European Union.
   Google Scholar
• Schneider, A., M. A. Friedl, and D. Potere. 2009. “A new map of Global Urban Extent From MODIS Satellite Data.” Environmental Research Letters 4 (4): 044003. doi: 10.1088/1748-9326/4/4/044003
   Web of Science ®Google Scholar
• Stone, K. H. 1965. “The Development of a Focus for the Geography of Settlement.” Economic Geography 41 (4): 346–355. doi:10.2307/141945.
   Web of Science ®Google Scholar
• Taubenbock, H., T. Esch, A. Felbier, A. Roth, and S. Dech. 2010. “Pattern-Based Accuracy Assessment of an Urban Footprint Classification Using TerraSAR-X Data.” IEEE Geoscience and Remote Sensing Letters 8 (2): 278–282. doi:10.1109/LGRS.2010.2069083.
   Web of Science ®Google Scholar
• UN DESA. 2018. United Nations Department of Economic and Social Affairs/Population Division World Urbanization Prospects: The 2018 Revision. Online: https://esa.un.org/unpd/wup/Download/Files/WUP2018_Classification_of_countries.pdf.
   Google Scholar
• Wang, P., C. Huang, E. C. Brown de Colstoun, J. C. Tilton, and B. Tan. 2017. Global Human Built-up And Settlement Extent (HBASE) Dataset From Landsat. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC).
   Google Scholar
• Yang, Y., P. Xiao, X. Feng, and H. Li. 2017. “Accuracy Assessment of Seven Global Land Cover Datasets Over China.” ISPRS Journal of Photogrammetry and Remote Sensing 125 (Suppl. C): 156–173. doi:10.1016/j.isprsjprs.2017.01.016.
   Google Scholar
• Zhou, Y., J. S. Smith, K. Zhao, M. Imhoff, A. Thomson, B. Bond-Lamberty, G. Asrar, X. Zhang, C. He, and C. Elvidge. 2015. “A Global map of Urban Extent From Nightlights.” Environmental Research Letters 10 (5): 054011. doi: 10.1088/1748-9326/10/5/054011
   Web of Science ®Google Scholar