Land cover characterization and classification of arctic tundra environments by means of polarized synthetic Aperture X- and C-band radar (PolSAR) and Landsat 8 multispectral imagery - Richards Island, Canada

Remote Sensing

Volumn 6, Issue 9, 2014, Pages 8565-8593

  Ullmann, Tobias ^a   Schmitt, Andreas ^b   Roth, Achim ^b   Duffe, Jason ^c   Dech, Stefan ^a,b   Hubberten, Hans Wolfgang ^d   Baumhauer, Roland ^a  

^a UNIVERSITY OF WÜRZBURG   (Germany)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

^c ENVIRONMENT CANADA   (Canada)

^d ALFRED WEGENER INSTITUTE FOR POLAR AND MARINE RESEARCH   (Germany)

Author keywords

Arctic; Classification; Land cover; Polarimetry; PolSAR; Radar; Radarsat 2; SAR; TerraSAR X; Tundra

Indexed keywords

POLARIMETERS; RADAR;

ARCTIC; LAND COVER; POLSAR; RADARSAT-2; SAR; TERRASAR-X; TUNDRA;

CLASSIFICATION (OF INFORMATION);

EID: 84907476335     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6098565     Document Type: Article

References (62)

1. Lemke, P.; Jacobi, H. Arctic Climate Change: The ACSYS Decade and Beyond; Springer: New York, NY, USA, 2011; pp. 1-464.
2. Kääb, A. Remote sensing of permafrost-related problems and hazards. Permafr. Periglac. Process. 2008, 19, 107-136.
3. Stow, D.A.; Hope, A.; McGuire, D.; Verbyla, D.; Gamon, J.; Huemmrich, F.; Houston, S.; Racine, C.; Sturm, M.; Tape, K.; et al. Remote sensing of vegetation and land-cover change in Arctic Tundra Ecosystems. Remote Sens. Environ. 2004, 89, 281-308.
4. Schneider, J.; Grosse, G.; Wagner, D. Land cover classification of tundra environments in the Arctic Lena Delta based on Landsat 7 ETM+ data and its application for upscaling of methane emissions. Remote Sens. Environ. 2009, 113, 380-391.
5. Fraser, R.H.; Olthof, I.; Carrière, M.; Deschamps, A.; Pouliot, D. Detecting long-term changes to vegetation in northern Canada using the Landsat satellite image archive. Environ. Res. Lett. 2011, 6, 1-9.
6. Ulrich, M.; Grosse, G.; Chabrillat, S.; Schirrmeister, L. Spectral characterization of periglacial surfaces and geomorphological units in the Arctic Lena Delta using field spectrometry and remote sensing. Remote Sens. Environ. 2009, 113, 1220-1235.
7. Chasmer, L.; Hopkinson, C.; Veness, T.; Quinton, W.; Baltzer, J. A decision-tree classification for low-lying complex land cover types within the zone of discontinuous permafrost. Remote Sens. Environ. 2014, 143, 73-84.
8. Richards, J.A. Remote Sensing with Imaging Radar; Springer Verlag: Berlin/Heidelberg, Germany, 2009; pp. 1-361.
9. May, I.; Ludwig, R.; Bernier, M. Using TerraSAR-X imagery for the monitoring of permafrost dynamics in northern Quebec. In Proceedings of the 4th TerraSAR-X Science Team Meeting, Oberpfaffenhofen, Germany, 14-16 February 2011.
10. Liu, L.; Zhang, T.; Wahr, J. InSAR measurements of surface deformation over permafrost on the North Slope of Alaska. J. Geophys. Res. 2010, 115, 1-14.
11. Lauknes, T.R.; Larsen, Y.; Eckerstorfer, M.; Christiansen, H.H. Permafrost landform dynamics at Kapp Linné central Svalbard, observed using high-resolution TerraSAR-X data, 2009-2012. In Proceedings of the 5th TerraSAR-X Science Team Meeting, Oberpfaffenhofen, Germany, 10-11 June 2013.
12. Short, N.; Brisco, B.; Couture, N.; Pollard, W.; Murnaghan, K.; Budkewitsch, P. A comparison of TerraSAR-X, RADARSAT-2 and ALOS-PALSAR Interferometry for monitoring permafrost environments, case study from Herschel Island, Canada. Remote Sens. Environ. 2011, 115, 3491-3506.
13. DLR, German Aerospace Center. TerraSAR-X Ground Segment Basic Product Specification Document; Cluster Applied Remote Sensing: Oberpfaffenhofen, Germany, 2010; pp. 1-109.
14. Wessel, B.; Marschalk, U.; Gruber, A.; Huber, M.; Hahmann, T.; Roth, A.; Habermeyer, M. Design of the DEM mosaicking and calibration processor for TanDEM-X. In Proceedings of the EUSAR 7th European Conference on Synthetic Aperture Radar, Friedrichshafen, Germany, 2-5 June 2008; pp. 1-4.
15. Regmi, P.; Grosse, G.; Jones, M.C.; Jones, B.M.; Anthony, K.W. Characterizing post-drainage succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X backscatter and Landsat-based NDVI data. Remote Sens. 2012, 4, 3741-3765.
16. Park, S-E.; Yamaguchi, Y.; Singh, G.; Bartsch, A. Spatio-temporal monitoring of permafrost regions using SAR remote sensing. In Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Kyoto, Japan, 9-12 August 2010.
17. Van der Sanden, J.J.; Drouin, H.; Hicks, F.E.; Beltaos, S. Potential of RADARSAT-2 for the monitoring of river freeze-up processes. In Proceedings of the 15th Workshop on River Ice, St. John's, NL, Canada, 14-17 June 2009; pp. 364-377.
18. Scheuchl, B.; Hajnsek, I.; Cumming, I.G. Sea ice classification using multi-frequency Polarimetric SAR data. In Proceeding of the Geoscience and Remote Sensing Symposium (IGARSS), Toronto, ON, Canada, 24-28 June 2002.
19. Rignot, E.; Mouginot, J.; Scheuchl, B. Ice flow of the Antarctic ice sheet. Science 2011, 333, 1427-1430.
20. Rignot, E.J.; Way, J.; Williams, C.; Viereck, L. Radar estimates of aboveground biomass in boreal forests of interior Alaska. IEEE Trans. Geosci. Remote Sens. 1994, 32, 1117-1124.
21. Salehi, M.; Sahebi, M.R.; Maghsoudi, Y. Improving the accuracy of urban land cover classification using Radarsat-2 PolSAR data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2014, 7, 1394-1401.
22. Zhao, L.; Yang, J.; Li, P.; Zhang, L. Characteristics analysis and classification of crop harvest patterns by exploiting high-frequency multi-polarization SAR data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2014, PP, doi:10.1109/JSTARS.2014.2308273.
23. Collingwood, A.; Treitz, P.; Charbonneau, F.; Atkinsons, D. Artificial neural network modeling of high arctic phytomass using synthetic aperture radar and multispectral data. Remote Sens. 2014, 6, 2134-2153.
24. Sobiech, J.; Boike, J.; Dierking, W. Observation of melt onset in an arctic tundra landscape using high resolution TerraSAR-X and RADARSAT-2 data. In Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 22-27 July 2012; pp. 3552-3555.
25. Banks, S.N.; King, D.J.; Merzouki, A.; Duffe, J.; Solomon, S. Assessing Radarsat-2 polarimetric SAR for mapping Shoreline Cleanup and Assessment Technique (SCAT) classes in the Canadian Arctic. In Proceedings of the 32nd Canadian Symposium on Remote Sensing, Sherbrooke, QC, Canada, 13-16 June 2011; pp. 1-8.
26. Banks, S.N.; Ullmann, T.; Schmitt, A.; Roth, A.; Dech, S. Classification of Arctic coastal land cover with Polarimetric SAR data. In Proceedings of the IEEE Radarcon, Ottawa, ON, Canada, 29 April-3 May 2013; pp. 1-6.
27. Ullmann, T.; Banks, S.N.; Duffe, J.; Roth, A.; Schmitt, A.; Baumhauer, R.; Dech, S.S. Classification of coastal arctic land cover by means of TerraSAR-X dual co-polarized data (HH/VV). In Proceedings of the 5th TerraSAR-X Science Team Meeting, Oberpfaffenhofen, Germany, 10-11 June 2013.
28. Lantuit, H.; Pollard, W. Fifty years of coastal erosion and retrogressive thaw slump activity on Herschel Island, southern Beauforst Sea, Yukon Territory. Can. Sci. Direct 2008, 95, 84-102.
29. Myers-Smith, I.H.; Forbes, B.C.; Wilmking, M.; Hallinger, M.; Lantz, T.; Blok, D.; Tape, K.D.; Macias-Fauria, M.; Sass-Klaassen, U.; Lévesque, E. Shrub expansion in tundra ecosystems: Dynamics, impacts and research priorities. Environ. Res. Lett. 2011, 6, 1-15.
30. Demers, A.-M.; Banks, S.; Duffe, J.; Carriere, M.; Torontow, V.; Chaudhary, B.; Laforest, S. eSPACE: Emergency spatial pre-SCAT for arctic coastal ecosystem project. In Proceedings of IEEE Radar Conference (RADAR), Ottawa, ON, Canada, 29 April 2013-3 May 2013; pp. 1-6.
31. Forbes, D.L. State of the Arctic Coast 2010-Scientific Review and Outlook; Helmholtz-Zentrum: Geesthacht, Germany, 2010; p. 178.
32. Hill, P.; Hequette, A.; Ruz, M.; Jenner, K. Geological Investigations of the Canadian Beaufort Sea Coast; Open File 2387; Geological Survey of Canada: Dartmouth, NS, Canada, 1991; p. 375.
33. Burn, C.R.; Kokelj, S.V. The environment and permafrost of the Mackenzie Delta Area. Permafr. Periglac. Process. 2009, 20, 83-105.
34. Allen, D.M.; Michel, F.A.; Judge, A.S. The permafrost regime in the Mackenzie Delta, Beaufort Sea region, N.W.T. and its significance to the reconstruction of the palaeoclimatic history. J. Quat. Sci. 1988, 3, 3-13.
35. Corns, I.G.W. Arctic plant communities east of the Mackenzie Delta. Can. J. Bot. 1974, 52, 1731-1745.
36. Dallimore, S.R.; Wolfe, S.A.; Solomon, S.M. Influence of ground ice and permafrost on coastal evolution, Richards Island, Beaufort Sea coast, N.W.T. Can. J. Earth Sci. 1996, 33, 664-675.
37. Cloude, S.R. Polarisation-Applications in Remote Sensing; Oxford University Press: Oxford, UK, 2009; pp. 1-453.
38. Touzi, R.; Boerner, W.M.; Lee, J.S.; Lueneburg, E. A review of polarimetry in the context of synthetic aperture radar: concepts and information extraction. Can. J. Remote Sens. 2004, 30, 380-407.
39. Cloude, S.R.; Pottier, E. A review of target decomposition theorems in radar Polarimetry. IEEE Trans. Geosci. Remote Sens. 1996, 34, 498-518.
40. Hamazaki, T. Overview of the Advanced Land Observing Satellite (ALOS): Its mission requirements, sensors, and a satellite system. In Proceedings of the ISPRS Joint Workshop-Sensors and Mapping from Space, Hannover, Germany, 27-30 September 1999.
41. Kankaku, Y.; Osawa, Y.; Hatooka, Y.; Suzuki, S. Overview of advanced land observing satellite-2 (ALOS-2) mission. In Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Kyoto, Japan, 9-12 August 2010.
42. Lee, J.S.; Grunes, M.R.; Pottier, E.; Ferro-Famil, L. Unsupervised terrain classification preserving polarimetric scattering characteristics. IEEE Trans. Geosci. Remote Sens. 2004, 42, 722-731.
43. Freeman, A.; Durden, S.L. A three-component scattering model for Polarimetric SAR data. IEEE Trans. Geosci. Remote Sens. 1998, 36, 963-973.
44. Yamaguchi, Y.; Yajima, Y. Yamada, H. A four-component decomposition of POLSAR images based on the Coherency Matrix. IEEE Trans. Geosci. Remote Sens. 2006, 3, 292-296.
45. Cloude, S.R.; Pottier, E. An entropy based classification scheme for land applications of polarimetric SAR. IEEE Trans. Geosci. Remote Sens. 1997, 35, 68-78.
46. Cloude, S.R. The Dualpol Entropy/Alpha decomposition: A PALSAR case study. In Proceedings of 3th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, PolInSAR, Frascati, Italy, 22-26 January 2007.
47. Shan, Z.; Wang, C.; Zhang, H.; Chen, J. H-alpha decomposition and alternative parameters for dual Polarization SAR data. In Proceedings of the PIERS, Suzhou, China, 12-16 September 2011.
48. Schmitt, A. änderungserkennung in Multitemporalen und Multipolarisierten Radaraufnahmen. Ph.D. Dissertation, Karlsruher Institut für Technologie (KIT), Oberpfaffenhofen, Germany, 2009.
49. Schmitt, A.; Leichtle, T.; Huber, M.; Roth, A. On the use of dual-co-polarized TerraSAR-X data for wetland monitoring. In Proceedings of the XXII Congress of the International Society for Photogrammetry and Remote Sensing, Melbourne, Australia, 25 August-1 September 2012.
50. Hein, A. Processing of SAR Data: Fundamentals, Signal, Processing, Interferometry; Springer Verlag: Berlin/Heidelberg, Germany, 2010; pp. 1-308.
51. Roth, A.; Huber, M.; Kosmann, D. Geocoding of TerraSAR-X data. In Proceedings of the 20th Congress of 20'th International Congress of the ISPRS, Istanbul, Turkey, 12-23 July 2004.
52. infoterra. Radiometric calibration of TerraSAR-X data. In Beat Nought and Sigma Nought Coefficient Calculation; infoterra GmbH: Friedrichshafen, Germany, 2008; pp. 1-16.
53. Buades, A.; Coll, B.; Morel, J.-M. A non-local algorithm for image denoising. In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, CA, USA, 20-25 June 2005; pp. 60-65.
54. Deledalle, C.-A.; Tupin, F.; Denis, L. Polarimetric SAR estimation based on non-local means. In Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, HI, USA, 25-30 July 2010; pp. 2515-2518.
55. Deledalle, C.-A.; Denis, L.; Tupin, F.; Reigber, A.; Jäger, M. NL-SAR: A Unified Non-Local Framework for Resolution-Preserving (Pol)(In)SAR Denoising; Available online: http://hal.archieves-ouvertes.fr/hal-00844118 (accessed on 02 May 2014).
56. NASA Landsat Program, 2013, Landsat 8 Scene LC80640112013214LGN00, US Geological Survey (USGS). Available online: http://landsat.usgs.gov/landsat8.php (accessed on 13 May 2014).
57. Jensen, J.R. Introductory Digital Image Processing, 2nd ed; Keith, C.C., Ed.; Prentice Hall: Upper Saddle River, NJ, USA, 1996; p. 318.
58. Natural Resources Canada, CanVec-Hydrography Data for Canada, 2007. Available online: http://geogratis.gc.ca (accessed on 5 May 2014).
59. Canty, M.J. Image Analysis, Classification, and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL; CRC Press: Boca Raton, FL, USA, 2009; p. 441.
60. Jenks, G.F. The data model concept in statistical mapping. In International Yearbook of Cartography; George Philip: London, UK, 1967; pp. 186-190.
61. Congalton, R.G.; Green, K. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, 2nd ed.; CRC Press: Raton, FL, USA, 2008; p. 200.
62. Mitsunobu, S.; Kazuo, O.; Chan-Su, Y. On the eigenvalue analysis using HH-VV dual-polarization SAR data and its applications to monitoring of coastal oceans. Proc. SPIE 2013, 8734, doi:10.1117/12.2018010.