High Resolution Mapping of Peatland Hydroperiod at a High-Latitude Swedish Mire

Remote Sensing

Volumn 4, Issue 7, 2012, Pages 1974-1994

  Torbick, Nathan ^a   Persson, Andreas ^b   Olefeldt, David ^c   Frolking, Steve ^d   Salas, William ^a   Hagen, Stephen ^a   Crill, Patrick ^e   Li, Changsheng ^d  

^a Applied GeoSolutions   (United States)

^b LUND UNIVERSITY   (Sweden)

^c UNIVERSITY OF GUELPH   (Canada)

^d UNIVERSITY OF NEW HAMPSHIRE   (United States)

^e STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

High latitude wetlands; Hydroperiod; LiDAR; Mire; PALSAR; Permafrost

Indexed keywords

ASSESSMENT TOOL; BIOGEOCHEMICAL PROCESS; CARBON POOL; CLASSIFICATION AND REGRESSION TREE; DECOMPOSITION APPROACH; FIELD MEASUREMENT; GEOSTATISTICAL; HIGH LATITUDES; HIGH SPATIAL RESOLUTION; HIGH TEMPORAL FREQUENCY; HIGH-RESOLUTION MAPPING; HYDROLOGICAL VARIABILITY; HYDROPERIODS; KEY FACTORS; L-BAND SYNTHETIC APERTURE RADARS; LIGHT DETECTION AND RANGING; MIRE; MULTIMODES; PALSAR; PEATLAND; RANDOM FORESTS; SATELLITE PLATFORMS; SCATTERING MECHANISMS; SPATIAL REGRESSION; SPATIAL STRUCTURE; SURFACE HYDROLOGY; VARIOGRAMS; WARM SEASONS; WATER TABLE DEPTHS; WATER TABLE FLUCTUATIONS; WATER TABLES; WETLAND HYDROGEOMORPHOLOGY;

CLIMATE CHANGE; DECISION TREES; GROUNDWATER; OPTICAL RADAR; PEAT; PERMAFROST; SOIL MOISTURE; SYNTHETIC APERTURE RADAR;

WETLANDS;

EID: 84865028024     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs4071974     Document Type: Article

References (40)

1. Tarnocai, C.; Canadell, J.; Schuur, E.; Kuhry, P.; Mazhitova, G.; Zimov, S. Soil organic carbon pools in the northern circumpolar permafrost region. Glob. Biogeochem. Cy. 2009, 23, GB2023.
2. Grosse, G.; Harden, J.W.; Turetsky, M.R.; McGuire, A.D.; Camill, P.; Tarnocai, C.; Frolking, S.; Schuur, E.A.G.; Jorgenson, T. Vulnerability of high latitude soil organic carbon in North America to disturbance. J. Geophys. Res.-Biogeosciences 2011, 116, doi:10.1029/2010JG001507.
3. Zimov, S.; Schuur, E.; Chapin, F. Climate change: Permafrost and the global carbon budget. Science 2006, 312, 1612-1613.
4. Zhang, Q.; Melack, J.; Zimov, S.; Sakha, C.; Walter, K.; Butenhoof, C.; Khalil, A. Global methane emissions from wetlands, rice paddies, and lakes. EOS Trans. AGU 2009, 90, 37-38.
5. Frolking, S.; Talbot, J.; Jones, M.; Treat, C.; Kauffman, J.; Tuittila, E.; Roulet, N. Peatlands in the Earth's 21st century climate system. Environ. Rev. 2011, 19, 371-396.
6. Christensen, T.R.; Ekberg, A.; Ström, L.; Mastepanov, M.; Panikov, N.; Öquist, M.; Svensson, B.H.; Nykänen, H.; Martikainen, P.J.; Oskarsson, H. Factors controlling large scale variations in methane emissions from wetlands. Geophys. Res. Lett. 2003, 30, doi:10.1029/ 2002GL016848.
7. Whalen, S. Biogeochemistry of methane exchange between natural wetlands and the atmosphere. Environ. Eng. Sci. 2008, 22, 73-94.
8. Bourgeau-Chavez, L.; Smith, K.; Brunzell, S.; Richardson, C.; Romanowicz, E.; Kasischke, E. Remote monitoring of regional scale inundation patterns and hydroperiod in the Greater Everglades using synthetic aperture radar. Wetlands 2005, 25, 176-191.
9. Chapman, B.; Siqueira, P.; Freeman, A. The JERS Amazon Multi-Season Mapping Study (JAMMS): Observation strategies and data characteristics. Int. J. Remote Sens. 2002, 23, 1427-1446.
10. Kaisischke, E.; Boureau-Chavez, L.; Rober, A.; Wyatt, K.; Wadington, J.; Turetsky, M. Effects of soil moisture and water depth on ERS SAR backscatter measurements from an Alaskan wetland complex. Remote Sens. Environ. 2009, 113, 1868-1873.
11. Novo, E.; Costa, M.; Mantovani, E.; Lima, I. Relationship between macrophyte stand variables and radar backscatter at L and C band, Tucurui reservoir, Brazil. Int. J. Remote Sens. 2002, 23, 1241-1260.
12. Rosenqvist, A.; Finlayson, C.; Lowry, J.; Taylor, D. The potential of long-wavelength satellite-12. borne radar to support implementation of the Ramsar Wetlands Convention. Aquat. Conserv. 2007, 17, 229-244.
13. Whitcomb, J.; Moghaddam, M.; McDonlad, K.; Kellndorf, J.; Podest, E. Mapping vegetated wetlands of Alaska using L-band radar satellite imagery. Can. J. Remote Sens. 2009, 35, 54-72.
14. Touzi, R.; Deschamps, A.; Rother, G. Phase of target scattering for wetland characterization using polarimetric C-band SAR. IEEE Trans. Geosci. Remote Sens. 2009, 47, 3241-3261.
15. Touzi, R.; Gosselin, G.; Brook, R. Peatland Subsurface Water Flow Monitoring Using Polarimetric L-Band Palsar. In Proceedings of 'PolInSAR 5th Int. Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry', Frascati, Italy, 24-28 January 2011.
16. Knight, J.; Dale, P.; Spencer, J.; Griffin, L. Exploring LiDAR data for mapping the micro-topography and tidal hydro-dynamics of mangrove systems: An example from southeast Queensland, Australia. Estuar. Coast. Shelf Sci. 2009, 85, 593-600
17. Hasan, A.; Pilesjö, P.; Persson, A. The use of LIDAR as a data source for digital elevation models-A study of the relationship between the accuracy of digital elevation models and topographical attributes in northern peatlands. Hydrol. Earth Syst. Sci. Discuss. 2012, 8, 5497-5522.
18. Torbick, N.; Salas, W.; Hagen, S.; Xiao, X. Monitoring rice agriculture in the Sacramento Valley, USA with multitemporal PALSAR and MODIS imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2011, doi:10.1109/JSTARS.2010.2091493.
19. Torbick, N.; Salas, W.; Xiao, X.; Ingraham, P.; Fearon, M.; Biradar, C.; Zhao, D.; Liu, Y.; Li, P.; Zhao, Y. Integrating SAR and optical imagery for regional mapping of paddy rice attributes in the Poyang Lake Watershed, China. Can. J. Remote Sens. 2011, 37, 17-26.
20. Bourgeau-Chavez, L.; Riordan, K.; Powell, R.; Miller, N.; Nowels, M. Improving Wetland Characterization with Multi-Sensor, Multi-Temporal SAR and Optical/Infrared Data Fusion. In Advances in Geosciences and Remote Sensing; inTech: Rijeka, Croatia, 2009; pp. 679-709.
21. Zwenzner, H.; Voigt, S. Improved estimation of flood parameters by combining space based SAR data with very high resolution digital elevation data. Hydrol. Earth Syst. Sci. 2009, 13, 567-576.
22. Johansson, T.; Malmer, N.; Crill, P.; Frisborgs, T.; Akerman, J.; Mastepanov, M.; Christensen, T. Decadal vegetation changes in a northern peatlabnd, greenhouse gas fluxes and net radiative forcing. Glob. Change Biol. 2006, 12, 2352-2369.
23. Xiao, X.; Dorovskoy, P.; Biradar, C.; Bridge, E. A library of georeferenced photos from the field. EOS Trans. AGU 2011, 92, 453-454.
24. Olefeldt, D.; Roulet, N.; Bergeron, O.; Crill, P.; Bäckstrand, K.; Christensen, T. Net carbon accumulation of a high-latitude permafrost palsa mire similar to permafrost-free peatlands. Geophys. Res. Lett. 2012, 39, L03501.
25. Bäckstrand, K.; Crill, P; Jackowicz-Korczyñski, M; Mastepanov, M; Christensen, T; Bastviken, D. Annual carbon gas budget for a subarctic peatland, Northern Sweden. Biogeosciences 2010, 7, 95-108.
26. De Grandi, G.; Lee, J.; Schuler, D.; Nezry, E. Texture and speckle statistics in Polarimetric SAR synthesized images. IEEE Trans. Geosci. Remote Sens. 2003, 41, 2070-2088.
27. De Grandi, G.; Leysen, M.; Lee, J.; Schuler, D. Radar Reflectivity Estimation Using Multiplicative SAR Scenes of the Same Target: Technique and Applications. In Proceedings of IEEE 1997 International Geoscience and Remote Sensing Symposium, Singapore, 3-8 August 1997; pp. 1047-1050.
28. Brisco, B.; Kapfer, M.; Hirose, T.; Tedford, B.; Liu, J. Evaluation of C-band polarization diversity and polarimetry for wetland mapping. Can. J. Remote Sens. 2011, 37, 82-92.
29. Touzi, R.; Deschamps, A.; Rother, G. Wetland characterization using polarimetric Radasat-2 capability. Can. J. Remote Sens. 2007, 33, 56-67.
30. Cloude, S.R.; Pottier, E. A review of target decomposition theorems in radar polarimetry. IEEE Trans. Geosci. Remote Sens. 1996, 34, 498-518.
31. Touzi, R. Target scattering decomposition in terms of roll-invariant target parameters. IEEE Trans. Geosci. Remote Sens. 2007, 45, 73-84.
32. Meyer, F.; Nicoll, J. Prediction, detection, and correction of Faraday rotation in full-polarimetric L-band SAR data. IEEE Trans. Geosci. Remote Sens. 2008, 46, 3076-3086.
33. Torbick, N.; Becker, B.; Hession, S.; Qi, J.; Roloff, G.; Stevenson, J. Assessing invasive plant infestation and disturbance gradients in a freshwater wetland using a GIScience approach. Wetl. Ecol. Manag. 2010, doi: 10.1007/s11273-009-9171-5.
34. Anselin, L. Spatial Statistical Modeling in a GIS Environment. In GIS, Spatial Analysis and Modeling; Maguire, D., Goodchild, M., Batty, M., Eds.; ESRI Press: Redlands, CA, USA, 2006; pp. 93-111.
35. Anselin, L; Bera, A. Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics. In Handbook of Applied Economic Statistics; Ullah, A., Giles, D., Eds.; Marcel Dekker: New York, NY, USA, 1998; pp. 237-289.
36. Breiman, L. Random Forest. Machine Learning 2001, 45, 5-32.
37. Lawrence, R.; Wood, S.; Sheley, R. Mapping invasive plants using hyperspectral imagery and Breiman Cutler classifications (RandomForest). Remote Sens. Environ. 2006, 100, 356-362.
38. Watts, J.; Lawrence, R.; Miller, P.; Montagne, C. Monitoring of cropland practices for carbon sequestration purposes in north central Montana by Landsat remote sensing. Remote Sens. Environ. 2009, 113, 1843-1852.
39. Whitcomb, J.; Moghaddam, M.; McDonald, K.; Kellndorfer, J.; Podest, E. Mapping wetlands of Alaska from L-band SAR imagery. Can. J. Remote Sens. 2009, 35, 54-72.
40. Malmer, N.; Johansson, T.; Olsrud, M.; Christensen, T. Vegetation, climatic changes and net carbon sequestration in a north-Scandinavian subarctic mire over 30 years. Glob. Change Biol. 2005, 11, 1895-1909.