6,343
Views
91
CrossRef citations to date
0
Altmetric
Research Articles

Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping

ORCID Icon, ORCID Icon, , , , , , , , , , & show all
Pages 118-144 | Received 10 Oct 2017, Accepted 18 Oct 2017, Published online: 30 Nov 2017

References

  • Anderson, K., Ryan, B., Sonntag, W., Kavvada, A., & Friedl, L. (2017). Earth observation in service of the 2030 agenda for sustainable development. Geo-spatial Information Science, 20(2), 77–96. doi:10.1080/10095020.2017.1333230
  • Arino, O., Perez, J. J. R., Kalogirou, V., Bontemps, S., Defourny, P., & Van Bogaert, E. (2012). Global land cover map for 2009 (GlobCover 2009). © European Space Agency (ESA) & Université Catholique de Louvain (UCL), August. doi:10.1594/PANGAEA.787668
  • Chen, J., Chen, J., Liao, A., Cao, X, Chen, L., Chen, X., … Zhang, W. (2015). Global land cover mapping at 30 m resolution: A POK-based operational approach . ISPRS Journal of Photogrammetry and Remote Sensing, 103(May), 7–27. doi:10.1016/j.isprsjprs.2014.09.002
  • Chi, M., Plaza, A., Benediktsson, J. A., Sun, Z., Shen, J., & Zhu, Y. (2016). Big data for remote sensing: Challenges and opportunities. Proceedings of the IEEE, 104(11), 2207–2219. doi:10.1109/JPROC.2016.2598228
  • Congalton, R. G. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37(1), 35–46.10.1016/0034-4257(91)90048-B
  • Congalton, R. G. (2009). Assessing the accuracy of remotely sensed data: Principles and practices (2nd ed.). Boca Raton, FL: CRC Press/Taylor & Francis.
  • Corbane, C., Faure, J.-F., Baghdadi, N., Villeneuve, N., & Petit, M. (2008). Rapid urban mapping using SAR/optical imagery synergy. Sensors, 8(11), 7125–7143. doi:10.3390/s8117125
  • Corbane, C., Lemoine, G., Pesaresi, M., Kemper, T., Sabo, F., Ferri, S., & Syrris, V. (2017). Enhanced automatic detection of human settlements using Sentinel-1 interferometric coherence. International Journal of Remote Sensing. doi:10.1080/01431161.2017.1392642
  • Dell’Acqua, F., & Gamba, P. (2003). Texture-based characterization of urban environments on satellite SAR images. IEEE Transactions on Geoscience and Remote Sensing, 41(1), 153–159. doi:10.1109/TGRS.2002.807754
  • Dobson, J. E., Bright, E. A., Coleman, P. R., Durfee, R. C., & Worley, B. A. (2000). LandScan: A global population database for estimating populations at risk. Photogrammetric Engineering and Remote Sensing, 66(7), 849–857.
  • Esch, T., Marconcini, M., Felbier, A., Roth, A., Heldens, W., Huber, M., … Dech, S. (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
  • European Commission, and Regional Policy DG. (2008). Working for the regions: EU regional policy 2007–2013. Luxembourg: EUR-OP.
  • Freire, S., Ehrlich, D., & Ferri, S. (2014). Assessing temporal changes in global population exposure and impacts from earthquakes. In 11th International Conference on Information Systems for Crisis Response and Management (ISCRAM).
  • Gamba, P., & Herold, M. (2009). Global mapping of human settlement: Experiences, datasets, and prospects. Taylor & Francis Series in Remote Sensing Applications. Boca Raton, FL: CRC Press.10.1201/CRCREMSENAPP
  • Gong, P., Wang, J., Yu, L., Zhao, Y., Zhao, Y., Liang, L., … Li, C. (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
  • Guo, H., Liu, Z., Jiang, H., Wang, C., Liu, J., & Liang, D. (2017). Big earth data: A new challenge and opportunity for digital earth’s development. International Journal of Digital Earth, 10(1), 1–12. doi:10.1080/17538947.2016.1264490
  • Gutman, G., Huang, C., Chander, G., Noojipady, P., & Masek, J. (2013). Assessment of the NASA–USGS global land survey (GLS) datasets. Remote Sensing of Environment, 134, 249–265.10.1016/j.rse.2013.02.026
  • Huang, D.-Y., & Wang, C.-H. (2009). Optimal multi-level thresholding using a two-stage Otsu optimization approach. Pattern Recognition Letters, 30(3), 275–284. doi:10.1016/j.patrec.2008.10.003
  • Kemper, T., Mudau, N., Mangara, P., & Pesaresi, M. (2015). Towards an automated monitoring of human settlements in South Africa using high resolution SPOT satellite imagery. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-7/W3(April), 1389–1394. doi:10.5194/isprsarchives-XL-7-W3-1389-2015
  • Kemper, T., Mudau, N., Mangara, P., Pesaresi, M., European Commission, & Joint Research Centre, and Institute for the Protection and the Security of the Citizen. (2015). Towards a country-wide mapping & monitoring of formal and informal settlements in South Africa: Pilot-Study in cooperation with the South African National Space Agency (SANSA). Luxembourg: Publications Office. Retrieved from http://dx.publications.europa.eu/10.2788/970905
  • Klotz, M., Kemper, T., Geiß, C., Esch, T., & Taubenböck, H. (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(June), 191–212. doi:10.1016/j.rse.2016.03.001
  • Lefebvre, A., Sannier, C., & Corpetti, T. (2016). Monitoring urban areas with Sentinel-2A Data: Application to the update of the copernicus high resolution layer imperviousness degree. Remote Sensing, 8(7), 606. doi:10.3390/rs8070606
  • Li, X., Gong, P., & Liang, L. (2015). A 30-year (1984–2013) record of annual urban dynamics of Beijing City derived from Landsat data. Remote Sensing of Environment, 166, 78–90.10.1016/j.rse.2015.06.007
  • Marchetti, P. G., Soille, P., & Bruzzone, L. (2016). A special issue on big data from space for geoscience and remote sensing [from the guest editors]. IEEE Geoscience and Remote Sensing Magazine, 4(3), 7–9. doi:10.1109/MGRS.2016.2586852
  • Matsuoka, M., & Yamazaki, F. (2004). Use of satellite SAR intensity imagery for detecting building areas damaged due to earthquakes. Earthquake Spectra, 20(3), 975–994. doi:10.1193/1.1774182
  • Miyazaki, H., Shao, X., Iwao, K., & Shibasaki, R. (2013). An automated method for global urban area mapping by integrating ASTER satellite images and GIS data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, 1004–1019.10.1109/JSTARS.2012.2226563
  • OpenStreetMap contributors. (2017). Planet dump. Retrieved from Https://planet.osm.org
  • Otsu, N. (1979). A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9(1), 62–66. doi:10.1109/TSMC.1979.4310076
  • Pesaresi, M., Corbane, C., Julea, A., Florczyk, A., Syrris, V., & Soille, P. (2016). Assessment of the added-value of sentinel-2 for detecting built-up areas. Remote Sensing, 8(4), 299. doi:10.3390/rs8040299
  • Pesaresi, M., Ehrlich, D., Ferri, S., Florczyk, A., Freire, S., Halkia, M., … Syrris, V. (2016). 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. Retrieved from http://publications.jrc.ec.europa.eu/repository/handle/111111111/40182
  • Pesaresi, M., Ehrilch, D., Florczyk, A. J., Freire, S., Julea, A., Kemper, T., … Syrris, V. (2016). GHS built-up grid, derived from Landsat, Multitemporal (1975, 1990, 2000, 2014) (version R2015). European Commission, Joint Research Centre (JRC) [Dataset]. Retrieved from http://data.europa.eu/89 h/jrc-ghsl-ghs_built_ldsmt_globe_r2015b
  • Pesaresi, M., Ehrilch, D., Kemper, T., Siragusa, A., Florczyk, A., Freire, S., & Corbane, C. (2017). Atlas of the human planet 2017: Global exposure to natural hazards. EUR 28556 EN. European Commission, Joint Research Centre, Institute for the Protection and Security of the Citizen. Retrieved from https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/atlas-human-planet-2017-global-exposure-natural-hazards
  • Pesaresi, M., & Gerhardinger, A. (2011). improved textural built-up presence index for automatic recognition of human settlements in arid regions with scattered vegetation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4, 16–26.10.1109/JSTARS.2010.2049478
  • Pesaresi, M., Gerhardinger, A., & Kayitakire, F. (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
  • Pesaresi, M., Melchiorri, M., Siragusa, A., & Kemper, T. (2016). Atlas of the human planet – Mapping human presence on earth with the global human settlement layer. JRC103150. Publications Office of the European Union. Luxembourg: European Commission, DG JRC.
  • Pesaresi, M., Syrris, V., & Julea, A. (2016a). A new method for earth observation data analytics based on symbolic machine learning. Remote Sensing, 8(5), 399. doi:10.3390/rs8050399
  • Pesaresi, M., Syrris, V., & Julea, A. (2016b). Analyzing big remote sensing data via symbolic machine learning. In Proceedings of the 2016 Conference on Big Data from Space (BiDS’16) (pp. 156–159). doi:10.2788/854791
  • Peters, A. J., & Janyst, L. (2011). Exabyte scale storage at CERN. Journal of Physics: Conference Series, 331(5), 052015. doi:10.1088/1742-6596/331/5/052015
  • Sabo, F., Corbane, C., & Ferri, S. (2017). Inter-sensor comparison of built-up derived from Landsat, Sentinel-1, Sentinel-2 and SPOT5/SPOT6 over Selected Cities. EUR 28520 EN. JRC105855. Luxembourg: Publications Office of the European Union. doi:10.2760/385820
  • Schistad Solberg, A. H., & Jain, A. K. (1997). Texture fusion and feature selection applied to SAR imagery. IEEE Transactions on Geoscience and Remote Sensing, 35(2), 475–479. doi:10.1109/36.563288
  • Schneider, A., Friedl, M. A., & Potere, D. (2009). A new map of global urban extent from MODIS satellite data. Environmental Research Letters, 4, 044003.
  • SDG Goal 11 Monitoring Framework – UN-Habitat. (2017). Retrieved July 13, from https://unhabitat.org/sdg-goal-11-monitoring-framework/
  • Soille, P., Burger, A., De Marchi, D., Kempeneers, P., Rodriguez, D., Syrris, V., & Vasilev, V. (2017). A versatile data-intensive computing platform for information retrieval from big geospatial data. Future Generation Computer Systems. doi: 10.1016/j.future.2017.11.007
  • Soille, P., Burger, A., Rodriguez, D., Syrris, V., & Vasilev, V. (2016). Towards a JRC earth observation data and processing platform. In Proceedings of the conference on big data from space (BiDS’16), Santa Cruz de Tenerife, Spain (pp. 15–17).
  • Syrris, V., Corbane, C., & Soille, P. (2017). A global mosaic from copernicus Sentinel-1 data. In Proc. of the 2016 Conference on Big Data from Space (BiDS’17). Vol. in press. Toulouse: European Union.
  • Taubenbock, H., Esch, T., Felbier, A., Roth, A., & Dech, S. (2011). Pattern-based accuracy assessment of an urban footprint classification using TerraSAR-X data. IEEE Geoscience and Remote Sensing Letters, 8, 278–282.10.1109/LGRS.2010.2069083
  • Thain, D., Tannenbaum, T., & Livny, M. (2005). Distributed computing in practice: The Condor experience. Concurrency and Computation: Practice and Experience, 17(2–4), 323–356. doi:10.1002/cpe.938
  • Thomas, K., Ragan-Kelley, B., Pérez, F., Granger, B. E., Bussonnier, M., Frederic, J., … Ivanov, P. (2016). Jupyter notebooks – A publishing format for reproducible computational workflows. Stand Alone, 87–90. doi:10.3233/978-1-61499-649-1-87
  • United Nations. (2015). United Nations Treaty Collection. Retrieved from https://treaties.un.org/pages/ViewDetails.aspx?src=TREATY&mtdsg_no=XXVII-7-d&chapter=27&clang=_en
  • United Nations. (2017). Sustainable Development Goals - United Nations. United Nations Sustainable Development. Retrieved October 17, from http://www.un.org/sustainabledevelopment/sustainable-development-goals/
  • United Nations Conference on Housing and Sustainable Urban Development. (2016). The New Urban Agenda. Habitat III. Retrieved from http://habitat3.org/the-new-urban-agenda/
  • United Nations International Strategy for Disaster Reduction. (2015). Sendai Framework for Disaster Risk Reduction 2015–2030. Retrieved from http://www.wcdrr.org/uploads/Sendai_Framework_for_Disaster_Risk_Reduction_2015-2030.pdf