Building a Crowd-Sourcing Tool for the Validation of Urban Extent and Gridded Population

  • Steffen Fritz
  • Linda See
  • Ian McCallum
  • Christian Schill
  • Christoph Perger
  • Michael Obersteiner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6783)

Abstract

This paper provides an overview of the crowd-sourcing tool Geo-Wiki, which is used to collect in-situ land cover validation data from the public. This tool is now being modularized in order to allow for domain specific land cover validation. Agriculture and biomass versions of Geo-Wiki are already operational. The next module, which is called urban.geo-wiki.org, is aimed at the validation of urban extent and gridded population data. The aim of this paper is to outline the structure of this module and the datasets that will aid in the validation of this land cover type and gridded population data. The ultimate aim of Geo-Wiki is to produce a hybrid land cover map that is better than existing products, including estimates of urban extent.

Keywords

Crowd-sourcing urban areas land cover validation Google Earth 

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References

  1. 1.
    Bettencourt, L., West, G.: A unified theory of urban living. Nature 467, 912–913 (2010)CrossRefGoogle Scholar
  2. 2.
    UN-Habitat: State of the World’s Cities 2010/2011 – Cities for All: Bridging the Urban Divide (2010), http://www.unhabitat.org/pmss/listItemDetails.aspx?publicationID=2917
  3. 3.
    Fritz, S., Bartholomé, E., Belward, A., Hartley, A., Stibig, H.J., Eva, H., Mayaux, P., Bartalev, S., Latifovic, R., Kolmert, S., Roy, P., Agrawal, S., Bingfang, W., Wenting, X., Ledwith, M., Pekel, F.J., Giri, C., Mücher, S., de Badts, E., Tateishi, R., Champeaux, J.-L., Defourny, P.: Harmonisation, mosaicing and production of the Global Land Cover 2000 database (Beta Version), 41 p. Office for Official Publications of the European Communities EUR 20849 EN, Luxembourg (2003) ISBN 92-894-6332-5Google Scholar
  4. 4.
    Friedl, M.A., McIver, D.K., Hodges, J.C.F., Zhang, X.Y., Muchoney, D., Strahler, A.H., Woodcock, C.E., Gopal, S., Schneider, A., Cooper, A., Baccini, A., Gao, F., Schaaf, C.: Global land cover mapping from MODIS: algorithms and early results. Remote Sensing of Environment 83, 287–302 (2002)CrossRefGoogle Scholar
  5. 5.
    Bicheron, P., Defourny, P., Brockman, C., Schouten, L., Vancutsem, C., Huc, M., Bontemps, S., Leroy, M., Achard, F., Herold, M., Ranera, F., Arino, O.: GLOBCOVER (2008), http://ionia1.esrin.esa.int/docs/GLOBCOVER_Products_Description_Validation_Report_I2.1.pdf
  6. 6.
    Foley, J.A., DeFries, R., Asner, G.P., Barford, C., Bonan, G., Carpenter, S.R., Chapin, F.S., Coe, M.T., Daily, G.C., Gibbs, H.K., Helkowski, J.H., Holloway, T., Howard, E.A., Kucharik, C.J., Monfreda, C., Patz, J.A., Prentice, I.C., Ramankutty, N., Snyder, P.K.: Global consequences of land use. Science 309(5734), 570–574 (2005)CrossRefGoogle Scholar
  7. 7.
    Verburg, P.H., Neumann, K., Nol, L.: Challenges in using land use and land cover data for global change studies. Global Change Biology (2010), doi: 10.1111/j.1365-2486.2010.02307.x Google Scholar
  8. 8.
    Liu, M.L., Tian, H.Q.: China’s land cover and land use change from 1700 to 2005: Estimations from high-resolution satellite data and historical archives. Global Biogeochemical Cycles 24, GB3003 (2010)Google Scholar
  9. 9.
    Fritz, S., You, L., Bun, A., See, L.M., McCallum, I., Liu, J., Hansen, M. Obersteiner M.: Cropland for Sub-Saharan Africa: A synergistic approach using five land cover datasets. Geophysical Research Letters (in press, 2011a), doi: 10.1029/2010GL046231 Google Scholar
  10. 10.
    Fritz, S., See, L., McCallum, I., Schill, C., Obersteiner, M., Boettcher, H., Achard, F.: Highlighting continued uncertainty in global land cover maps. Submitted to Geophysical Research Letters (2011b)Google Scholar
  11. 11.
    Fritz, S., See, L.M., Rembold, F.: Comparison of global and regional land cover maps with statistical information for the agricultural domain in Africa. International Journal of Remote Sensing 25(7-8), 1527–1532 (2010)Google Scholar
  12. 12.
    Fritz, S., See, L.: Quantifying uncertainty and spatial disagreement in the comparison of Global Land Cover for different applications. Global Change Biology 14, 1–23 (2008)CrossRefGoogle Scholar
  13. 13.
    Schneider, A., Friedl, M.A., Potere, D.: A new map of global urban extent from MODIS satellite data. Environmental Research Letters 4, 044003 (2009), doi:10.1088/1748-9326/4/4/044003Google Scholar
  14. 14.
    O’Neill, B.C., Dalton, M., Fuchs, R., Jianga, L., Pachauri, S., Zigova, K.: Global demographic trends and future carbon emissions. Proc. Natl. Acad. Sci. USA 107(41), 17521–17526 (2010)CrossRefGoogle Scholar
  15. 15.
    Gaffin, S.R., Rosenzweig, C.R., Xing, X., Yetman, G.: Downscaling and Geo-spatial Gridding of Socio-Economic Projections from the IPCC Special Report on Emissions Scenarios (SRES). Global Environmental Change 14(2), 105–123 (2004)CrossRefGoogle Scholar
  16. 16.
    Demographia: Demographia World Urban Areas: Population & Projections, 6.1. edn. Demographia, Bellevillle, Illinois (2010) Google Scholar
  17. 17.
    Howe, J.: Crowdsourcing: Why the power of the crowd is driving the future of business. Crown Business, New York (2008)Google Scholar
  18. 18.
    Marris, E.: Birds flock online. Nature (2010), doi: 10.1038/news.2010.395Google Scholar
  19. 19.
    Timmer, J.: Galaxy Zoo shows how well crowdsourced citizen science works (2010), http://arstechnica.com/science/news/2010/10/galaxy-zoo-shows-how-well-crowdsourced-citizen-science-works.ars
  20. 20.
    Cooper, S., Khatib, F., Treuille, A., Barbero, J., Lee, J., Beenen, M., Leaver-Fay, A., Baker, D., Popovic, Z.: Foldit Players: Predicting protein structures with a multiplayer online game. Nature 466(7307), 756–760 (2010)CrossRefGoogle Scholar
  21. 21.
    Goodchild, M.F.: Citizens as sensors: The world of volunteered geography. GeoJournal 69, 211–221 (2007)CrossRefGoogle Scholar
  22. 22.
    Fritz, S., McCallum, I., Schill, C., Perger, C., Grillmayer, R., Achard, F., Kraxner, F., Obersteiner, M.: Geo-Wiki.Org: The use of crowd-sourcing to improve global land cover. Remote Sensing 1(3), 345–354 (2009)CrossRefGoogle Scholar
  23. 23.
    Williamson, R.A.: Community remote sensing and remote sensing capacity building and the United Nations (Updated) (2010), http://nextnowcollab.wordpress.com/2010/01/06/remote-sensing-capacity-building-and-the-united-nations/
  24. 24.
    CIESIN (Center for International Earth Science Information Network) (2004) Global Rural-Urban Mapping Project (GRUMP): Urban Extents, http://sedac.ciesin.columbia.edu/gpw
  25. 25.
    Yuan, F., Bauer, M.E., Heinert, N.J., Holden, G.R.: Multi-level Land Cover Mapping of the Twin Cities (Minnesota) Metropolitan Area with Multi-seasonal Landsat TM/ETM+ Data. GeoCarto International 20(2), 5–14 (2005)CrossRefGoogle Scholar
  26. 26.
    European Environment Agency: Corine Land Cover 2000 seamless vector data – version 13 (02/2010) (2010), http://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-clc2000-seamless-vector-database-2
  27. 27.
    Danko, D.: The digital chart of the world project. Photogramm. Eng. Remote Sensing 58, 1125–1128 (1992)Google Scholar
  28. 28.
    Goldewijk, K.: Three centuries of global population growth: a spatially referenced population density database for 1700–2000. Populat. Environ. 26, 343–367 (2005)CrossRefGoogle Scholar
  29. 29.
    Elvidge, C., Tuttle, B., Sutton, P., Baugh, K., Howard, A., Milesi, C., Bhaduri, B., Nemani, R.: Global distribution and density of constructed impervious surfaces. Sensors 7, 1962–1979 (2007)CrossRefGoogle Scholar
  30. 30.
    Bhaduri, B., Bright, E., Coleman, P., Dobson, J.: LandScan: locating people is what matters. Geoinfomatics 5, 34–37 (2002)Google Scholar
  31. 31.
    Elvidge, C., Imhoff, M., Baugh, K., Hobson, V., Nelson, I., Safran, J., Dietz, J., Tuttle, B.: Nighttime lights of the world: 1994–95 ISPRS. J. Photogramm. Remote Sens. 56, 81–99 (2001)CrossRefGoogle Scholar
  32. 32.
    Ellis, E.C., Ramankutty, N.: Putting people in the map: anthropogenic biomes of the world. Frontiers in Ecology and the Environment 6 (2008), doi: 10.1890/070062 Google Scholar
  33. 33.
  34. 34.
    European Environment Agency: EEA-FTSP-Sealing-Enhancement Delivery Report –European Mosaic, Issue 1.0 (2009) Google Scholar
  35. 35.
    Hansen, K.: Earth-Observing Landsat 5 Turns 25 (2009), http://www.nasa.gov/topics/earth/features/landsat_bday.html

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Steffen Fritz
    • 1
  • Linda See
    • 1
  • Ian McCallum
    • 1
  • Christian Schill
    • 1
    • 2
  • Christoph Perger
    • 3
  • Michael Obersteiner
    • 1
  1. 1.International Institute for Applied Systems Analysis (IIASA)LaxenburgAustria
  2. 2.University of FreiburgFreiburgGermany
  3. 3.Fachhochschule Wiener NeustadtWiener NeustadtAustria

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