TanDEM-X mission - New perspectives for the inventory and monitoring of global settlement patterns

Journal of Applied Remote Sensing

Volumn 6, Issue 1, 2012, Pages

  Esch, Thomas ^a   Taubenböck, Hannes ^a   Roth, Achim ^a   Heldens, Wieke ^a   Felbier, Andreas ^a   Thiel, Michael ^b   Schmidt, Martin ^a   Müller, Andreas ^a   Dech, Stefan ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b UNIVERSITY OF WÜRZBURG   (Germany)

Author keywords

automation.; global mapping; settlement patterns; TanDEM X; urbanization

Indexed keywords

AUTOMATION; URBAN GROWTH;

GLOBAL MAPPING; INVENTORY AND MONITORING; POPULATION ESTIMATIONS; SETTLEMENT PATTERNS; SPATIO-TEMPORAL DYNAMICS; TANDEM-X; URBANIZATION; VULNERABILITY ASSESSMENTS;

SYNTHETIC APERTURE RADAR;

EID: 84903443927     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.6.061702     Document Type: Article

References (69)

1. UNDP, "United Nations Department of Economic and Social Affairs-Population Division," World Urbanization Prospects: The 2007, Revision, CD-ROM (2008).
2. M. R. Montgomery, "The urban transformation of the developing world," Science 319(5864), 761-764 (2008), http://dx.doi.org/10.1126/ science.1153012.
3. K. C. Seto, "Global urban issues-A primer," in P.Gamba and M. Herold, eds. Global Mapping of Human Settlements-Experiences, Datasets, and Prospects, pp. 3-9, Taylor & Francis Group, Boca Raton (2009).
4. D. Simon, "Urban environments: issues on the peri-urban fringe," Annu. Rev. Environ. Resour. 33, 167-185 (2008), http://dx.doi.org/10.1146/annurev.environ.33.021407.093240.
5. J. A. Foley et al., "Global consequences of land use," Science 309(5734), 570-574 (2005), http://dx.doi.org/10.1126/science.1111772.
6. G. C. Daily and P. R. Ehrlich, "Population, sustainability, and Earth's carrying capacity," BioScience 42(10), 761-771 (1992), http://dx.doi.org/10.2307/1311995.
7. M. P. Johnson, "Environmental impacts of urban sprawl: a survey of the literature and proposed research agenda," Environ. Plann. A. 33(4), 717-735 (2001), http://dx.doi.org/10.1068/a3327.
8. C. Dye, "Health and urban living," Science 319(5864), 766-769 (2008), http://dx.doi.org/10.1126/science.1150198.
9. F. K. Benfield, M. D. Raimi, and D. T. Chen, Once There Were Greenfields. How Urban Sprawl is Undermining America's Environment, Economy and Social Fabric, Natural Resources Defense Council, New York (1999).
10. D. J. Cieslewicz, "The environmental impacts of sprawl," in G. D.Squires, Ed., Urban Sprawl, Causes, Consequences & Policy Responses, pp. 23-38, Urban Inst. Press, Washington, DC (2002).
11. R. Crane and D. G. Chatman, "Traffic and sprawl: evidence from U.S. commuting, 1985 to 1997," Plann. Markets 6(1), 14-22 (2003).
12. M. Batty, "The size, scale, and shape of cities," Science 319(5864), 769-771 (2008), http://dx.doi.org/10.1126/science.1151419.
13. D. Potere et al., "Mapping urban areas on a global scale: which of the eight maps now available is more accurate?," Int. J. Rem. Sens. 30(24), 6531-6558 (2009), http://dx.doi.org/10.1080/01431160903121134.
14. D. Potere and A. Schneider, "A critical look at representations of urban areas in global maps," GeoJournal 69(1-2), 55-80 (2007), http://dx.doi.org/10.1007/s10708-007-9102-z.
15. T. Esch et al., "Urban remote sensing-how can earth observation support the sustainable development of urban environments?," in Proc. of ISOCARP 2010, Nairobi, Kenya, ISOCARP, The Hague, Netherlands (2010).
16. L. J. M. Jansen, "Semantic characterization of human settlement areas. Critical issues to be considerd," in Global Mapping of Human Settlements-Experiences, Datasets, and Prospects, P.Gamba and M. Herold, Eds., pp. 3-9, Taylor & Francis Group, Boca Raton (2009).
17. M. Herold et al., "Evolving standards in land cover characterization," J. Land Use Sci. 1(2-4), 157-168 (2006), http://dx.doi.org/10.1080/17474230601079316.
18. Y. Dong, B. Forster, and C. Ticehurst, "Radar backscatter analysis for urban environments," Int. J. Rem. Sens. 18(6), 1351-1364 (1997), http://dx.doi.org/10.1080/014311697218467.
19. J. S. Lee, "Speckle suppression and analysis for synthetic aperture radar images," Opt. Eng. 25(5), 636-645 (1986).
20. T. R. Loveland et al., "Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data," Int. J. Rem. Sens. 21(6-7), 1303-1330 (2000), http://dx.doi.org/10.1080/014311600210191.
21. D. Potere and A. Schneider, "Comparison of global urban maps," in Global Mapping of Human Settlements: Experiences, Data Sets, and Prospects, P. Gamba and M. Herold, Eds., pp. 269-308, Taylor & Francis Group, Boca Raton, FL (2009).
22. D. M. Danko, "The digital chart of the world project," Photogramm. Eng. Remote Sens. 58(8), 1125-1128 (1992).
23. M. Hansen et al., "Global land cover classification at 1 km resolution using a decision tree classifier," Int. J. Rem. Sens. 21(6-7), 1331-1365 (2000), http://dx.doi.org/10.1080/014311600210209.
24. E. Bartholome and A. S. Belward, "GLC2000: a new approach to global land cover mapping from Earth observation data," Int. J. Rem. Sens. 26(9), 1959-1977 (2005), http://dx.doi.org/10.1080/01431160412331291297.
25. A. Schneider, M. A. Friedl, and D. Potere, "A new map of global urban extent from MODIS satellite data," Environ. Res. Lett. 4(4), 044003 (2009), http://dx.doi.org/10.1088/1748-9326/4/4/044003.
26. C. Elvidge et al., "Global distribution and density of constructed impervious surfaces," Sensors 7(9), 1962-1979 (2007), http://dx.doi.org/10. 3390/s7091962.
27. K. Goldewijk, "Estimating global land use change over the past 300 years: the HYDE database," Global Biogeochem. Cy. 15(2), 417-434 (2001), http://dx.doi.org/10.1029/1999GB001232.
28. C. D. Elvidge et al., "Night-time lights of the world: 1994-1995," ISPRS J. Photogramm. Remote Sens. 56(2), 81-99 (2001), http://dx.doi.org/10.1016/S0924-2716(01)00040-5.
29. M. L. Imhoff et al., "A technique for using composite DMSP/OLS "city lights" satellite data to map urban areas," Rem. Sens. Environ. 61(3), 361-370 (1997), http://dx.doi.org/10.1016/S0034-4257(97)00046-1.
30. B. Bhaduri et al., "LandScan: locating people is what matters," Geoinformatics 5(2), 34-37 (2002).
31. EEA (European Environment Agency), The European Environment-State and Outlook 2010: Land Use, Publications Office of the European Union, Luxembourg p. 52 (2010).
32. C. Lavalle et al., "Monitoring megacities: the MURBANDY/MOLAND approach," Dev. Pract. 11(2-3), 350-357 (2001), http://dx.doi.org/10.1080/ 09614520120056478.
33. E.Wentz et al., "The urban environmental project/100 cities project: legacy of the first phase and next steps," in Global Mapping of Human Settlements: Experiences, Data Sets, and Prospects, P. Gamba and M. Herold, Eds., pp. 191-204, Taylor & Francis Group, Boca Raton, FL (2009).
34. F. M. Seifert, "Improving urban monitoring toward a European urban atlas," in Global Mapping of Human Settlements: Experiences, Data Sets, and Prospects, P. Gamba and M. Herold, Eds., pp. 231-248, Taylor & Francis Group, Boca Raton, FL (2009).
35. GEM, "Global Earthquake Model," www.globalquakemodel.org (01 July 2011).
36. F. Dell'Acqua, "The role of SAR sensors," in Global Mapping of Human Settlements: Experiences, Data Sets, and Prospects, P. Gamba and M. Herold, Eds., pp. 309-319, Taylor & Francis Group, Boca Raton, FL (2009).
37. T. Esch, A. Roth, and S. Dech, "Analysis of urban land use pattern based on high resolution radar imagery," in Proc. of International Geoscience and Remote Sensing Symp., 2006, Denver, pp. 3615-3618, IEEE, Piscataway (2006).
38. A. Brenner and L. Roessing, "Radar imaging of urban areas by means of very high resolution SAR and interferometric SAR," IEEE Trans. Geosci. Rem. Sens. 46(10), 2971-2982 (2008), http://dx.doi.org/10.1109/TGRS.2008.920911.
39. C. Corbane et al., "Comparative study on the performance of multi parameter SAR data for operational urban areas extraction," IEEE Geosci. Remote Sens. Lett. 6(4), 728-732 (2009), http://dx.doi.org/10.1109/LGRS.2009. 2024225.
40. L. Matikainen, J. Hyyppä, and E. Engdahl, "Mapping built-up areas from multitemporal interferometric SAR images: a segment-based approach," Photogramm. Eng. Remote Sens. 72(6), 701-714 (2006).
41. T. Esch et al., "Delineation of urban footprints from TerraSAR-X data by analyzing speckle characteristics and intensity information," IEEE Trans. Geosci. Remote Sens. 48(2), 905-916 (2010), http://dx.doi.org/10.1109/ TGRS.2009.2037144.
42. A. Thiele, J. D. Wegner, and U. Soergel, "Building Reconstruction from Multi-Aspect InSAR Data," in Radar Remote Sensing of Urban Areas, U. Soergel, Ed., pp. 187-214, Springer Science+Business and Media B.V., Darmstadt, Germany (2007).
43. A. Thiele et al., "Building recognition from multi-aspect high resolution InSAR data in urban areas," IEEE Trans. Geosci. Remote Sens. 45(11), 3583-3593 (2007), http://dx.doi.org/10.1109/TGRS.2007.898440.
44. P. Gamba et al., "Improving building footprints in InSAR data by comparison with LIDAR DSM," Photogramm. Eng. Remote Sens. 72(1), 63-70 (2006).
45. Y. Wang, F. Tupin, and C. Han, "Building detection from high-resolution PolSAR data at the rectangle level by combining region and edge information," Pattern Recogn. Lett. 31(10), 1077-1088 (2010), http://dx.doi.org/10.1016/j.patrec.2009.12.034.
46. U. Soergel, Radar Remote Sensing of Urban Areas, p. 277, Springer, Berlin (2010).
47. F. Dell'Acqua, P. Gamba, and D. Polli, "Mapping earthquake damage in VHR radar images of human settlements: preliminary results on the 6th April 2009, Italy case," in Proc. of IGARSS 2010, Honolulu, Hawaii, pp. 1347-1350, IEEE, Piscataway (2010).
48. H. Taubenböck et al., "Monitoring of mega cities from space," Rem. Sens. Environ. 117, 162-176 (2012), http://dx.doi.org/10.1016/ j.rse.2011.09.015.
49. K. Molch, P. Gamba, and F. Kayitakire, "Performance of built-up area classifications using high-resolution SAR data," Canadian J. Rem. Sens. 2010, 36(3), 197-210 (2010), http://dx.doi.org/10.5589/m10-040.
50. G. Krieger et al., "TanDEM-X: a satellite formation for high resolution SAR interferometry," IEEE Trans. Geosci. Remote Sens. 45(11), 3317-3341 (2007), http://dx.doi.org/10.1109/TGRS.2007.900693.
51. M. Eineder et al., "TerraSAR-X ground segment basic product specification document," TX-GS-DD-3302, issue 1.7, http://sss.terrasar-x. dlr.de (2010).
52. I. Hajnsek et al., "TanDEM-X ground TanDEM-X science plan," TD-PD-PL-0069, Issue 1.0, http://tandemx-science.dlr.de/ (2010).
53. T. Esch et al., "Characterization of land cover types in TerraSAR-X images by combined analysis of speckle statistics and intensity information," IEEE Trans. Geosci. Remote Sens. 49(6), 1911-1925 (2011), http://dx.doi.org/10.1109/TGRS.2010.2091644.
54. F. T. Ulaby et al., "Textural information in SAR images," IEEE Trans. Geosci. Remote Sens. GE-24(2), 235-245 (1986), http://dx.doi.org/10.1109/ TGRS.1986.289643.
55. H. Taubenböck et al., "Pattern-based accuracy assessment of an urban footprint classification using TerraSAR-X data," IEEE Geosci. Rem. Sens. Lett. 8(2), 278-282 (2011), http://dx.doi.org/10.1109/LGRS.2010.2069083.
56. R. G. Congalton, "A review of assessing the accuracy of classification of remotely sensed data," Rem. Sens. Environ. 37(1), 35-46 (1991), http://dx.doi.org/10.1016/0034-4257(91)90048-B.
57. M. Wurm et al., "Object-based image information fusion using multisensor earth observation data over urban areas," Int. J. Image Data fusion 2(2), 121-147 (2011), http://dx.doi.org/10.1080/19479832.2010.543934.
58. G. Sohn and I. Dowman, "Data fusion of high-resolution satellite imagery and LiDAR data for fully automatic building extraction," ISPRS J. Photogramm. Remote Sens. 62(1), 43-63 (2007), http://dx.doi.org/10.1016/j. isprsjprs.2007.01.001.
59. F. Dell'Acqua and P. Gamba, "Texture-based characterization of urban environments on satellite SAR images," IEEE Trans. Geosci. Remote Sens. 41(1), 153-159 (2003),http://dx.doi.org/10.1109/TGRS.2002.807754.
60. F. Dell'Acqua and P. Gamba, "Discriminating urban environments using multiscale texture and multiple SAR images," Int. J. Rem. Sens. 27(18), 3797-3812 (2006), http://dx.doi.org/10.1080/01431160600557572.
61. M. Schmidt et al., "Estimation of building density using TerraSAR-X-Data," in Proc. Of IGARSS 2010, Honolulu, pp. 1936-1939, IEEE, Piscataway (2010).
62. R. Touzi et al., "Coherence estimation for SAR imagery," IEEE Trans. Geosci. Remote Sens. 37(1), 135-149 (1999), http://dx.doi.org/10.1109/36. 739146.
63. W. M. F. Grey, A. J. Luckmana, and D. Holland, "Mapping urban change in the UK using satellite radar interferometry," Rem. Sens. Environ. 87(1), 16-22 (2003), http://dx.doi.org/10.1016/S0034-4257(03)00142-1.
64. D. J. Weydahl, "Analysis of ERS SAR coherence images acquired over vegetated areas and urban features," Int. J. Remote Sens. 22(14), 2811-2830 (2001), http://dx.doi.org/10.1080/01431160010006412.
65. S. Usai and R. Klees, "SAR interferometry on a very long time scale: a study of the interferometric characteristics of man-made features," IEEE Trans. Geosci. Remote Sens. 37(4), 2118-2123 (1999), http://dx.doi.org/10.1109/ 36.774730.
66. L.-M. Jiang, M.-S. Liao, and H. Lin, "Estimating urban impervious surface percentage with ERS-1/2 InSAR data," J. Remote Sens. Beijing 12(1), 184-191 (2008).
67. T. Esch et al., Comparison of ALOS-PALSAR and TerraSAR-X data in terms of detecting settlements-first results," in Proc. of the ALOS PI Symp. 2008, Rhodes, Greece, ESA, Ispra, Italy (2008).
68. M. Pesaresi, A. Gerhardinger, and F. Kayitakire, "Monitoring settlement dynamics by anisotropic textural analysis of panchromatic VHR data," in Proc. of 2007 Urban Remote Sensing Joint Event URBAN2007-URS2007, Paris, France, IEEE, Piscataway (2007).
69. C. D. Elvidge et al., "Potential for global mapping of development via a nightsat mission," Geojournal, 69(1-2), 45-53 (2007), http://dx.doi.org/10.1007/s10708-007-9104-x.