SAR and lidar temporal data fusion approaches to boreal wetland ecosystem monitoring

Remote Sensing

Volumn 11, Issue 2, 2019, Pages

  Montgomery, Joshua ^a,b   Brisco, Brian ^c   Chasmer, Laura ^b   Devito, Kevin ^d   Cobbaert, Danielle ^a   Hopkinson, Chris ^b  

^a ALBERTA ENVIRONMENT AND PARKS   (Canada)

^b UNIVERSITY OF LETHBRIDGE   (Canada)

^c NATURAL RESOURCES CANADA   (Canada)

^d UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Boreal wetlands; Data fusion; Decision based methodology; Lidar; SAR; Time series

Indexed keywords

AQUATIC ORGANISMS; CLASSIFICATION (OF INFORMATION); CLIMATE CHANGE; DATA FUSION; LAND RECLAMATION; LAND USE; REMOTE SENSING; SURFACE WATERS; SYNTHETIC APERTURE RADAR; TIME SERIES; WETLANDS;

BOREAL WETLANDS; DECISION-BASED; FIELD MEASUREMENT; FREQUENCY ANALYSIS; PEACE-ATHABASCA DELTAS; REMOTE SENSING DATA SOURCE; VEGETATION COMMUNITY; WETLAND CLASSIFICATION;

OPTICAL RADAR;

EID: 85060711773     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs11020161     Document Type: Article

References (63)

1. National Wetlands Working Group. Wetlands of Canada; Ecological Land Classification Series, No. 24; Environment Canada and Polyscience Publications Inc.: Ottawa, ON, Canada, 1988; p. 452
2. Komers, P.E.; Stanojevic, Z. Rates of disturbance vary by data resolution: Implications for conservation schedules using the Alberta Boreal Forest as a case study. Glob. Chang. Biol. 2013, 19, 2916-2928
3. Devito, K.J.; Mendoza, C.; Petorone, R.M.; Kettridge, N.; Waddington, J. Utikuma Region Study Area (URSA)-Part 1: Hydrogeological and ecohydrological studies (HEAD). For. Chron. 2016, 92, 57-61
4. Stow, D.A.; Hope, A.; McGuire, D.; Verbyla, D.; Gamon, J.; Huemmrich, F.; Houston, S.; Racine, C.; Sturm, M.; Tape, K. Remote sensing of vegetation and land-cover change in Arctic tundra ecosystems. Remote Sens. Environ. 2004, 89, 281-308
5. Riordan, B.; Verbyla, D.; McGuire, A.D. Shrinking ponds in subarctic Alaska based on 1950-2002 remotely sensed images. J. Geophys. Res. 2006, 111, G04002
6. Kettridge, N.; Waddington, J.M. Towards quantifying the negative feedback regulation of peatland evaporation to drought. Hydrol. Process. 2013, 28, 3728-3740
7. Chasmer, L.; Hopkinson, C.; Montgomery, J.; Petrone, R. A physically based terrain morphology and vegetation structural classification for wetlands of the boreal plains, Alberta, Canada. Can. J. Remote Sens. 2016, 42, 521-540
8. Montgomery, J.; Hopkinson, C.; Brisco, B.; Patterson, S.; Rood, S. Wetland hydroperiod classification in the western prairies using multi-temporal synthetic aperture radar. Hydrol. Process. 2018, 31, 1476-1490
9. Houhoulis, P.F.; Michener,W. Detecting wetland change: A rule-based approach using NWI and SPOT-XS data. Photogramm. Eng. Remote Sens. 2000, 66, 205-211
10. Davranche, A.; Lefebvre, G.; Poulin, B.Wetland monitoring using classification trees and SPOT-5 seasonal time series. Remote Sens. Environ. 2000, 114, 552-562
11. Wang, K.; Franklin, S.; Guo, X.; He, Y.; McDermid, G. Problems in remote sensing of landscapes and habitats. Prog. Phys. Geogr. 2009, 33, 1-22
12. Brisco, B.; Short, N.; van der Sanden, J.; Landry, R.; Raymond, D. A semi-automated tool for surface water mapping with Radarsat-1. Can. J. Remote Sens. 2009, 35, 336-344
13. Santoro, M.; Wegmüller, U. Multi-temporal synthetic aperture radar metrics applied to map open water bodies. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2014, 7, 3225-3238
14. White, L.; Brisco, B.; Pregitzer, M.; Tedford, B.; Boychuck, L. RADARSAT-2 beam mode selection for surface water and flooded vegetation mapping. Can. J. Remote Sens. 2014, 40, 135-151
15. Wang, J.; Shang, J.; Brisco, B.; Brown, R. Comparison of multidate radar and multispectral optical satellite data for wetland detection in the Great Lakes Region. In Proceedings of the International Symposium, Geomatics in the Era of RADARSAT (GER'97), Ottawa, ON, Canada, 25-30 May 1997
16. Chasmer, L.; Hopkinson, C.; Quinton,W.; Veness, T.; 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
17. Ameli, A.; Creed, I. Quantifying hydrologic connectivity of wetlands to surface water systems. Hydrol. Earth Syst. Sci. 2017, 21, 1791-1808
18. Irwin, K.; Beaulne, D.; Braun, A.; Fotopoulos, G. Fusion of SAR, optical and airborne lidar for surface water detection. Remote Sens. 2017, 9, 890
19. Millard, L.; Richardson, M.Wetland mapping with Lidar derivatives, SAR polarimentric decompositions, and Lidar/SAR fusion using a random forest classifier. Can. J. Remote Sens. 2013, 39, 290-307
20. Devito, K.; Mendoza, C.; Qualizza, C. Conceptualizing Water Movement in the Boreal Plains. Implications for Watershed Reconstruction; Synthesis Report; The Canadian Oil Sands Network for Research and Development, Environmental and Reclamation Research Group: Edmonton, AB, Canada, 2012; p. 164
21. Devito, K.J.; Creed, I.; Gan, T.; Mendoza, C.; Petrone, R.; Silins, U.; Smerdon, B. A framework for broad scale classification of hydrologic response units on the Boreal Plain: Is topography the last thing to consider? Hydrol. Process. 2005, 19, 1705-1714
22. Downing, D.J.; Pettapiece, W.W.; Natural Regions Committee. Natural Regions and Subregions of Alberta; Pub #T/852; Government of Alberta: Edmonton, AB, Canada, 2006
23. Peace-Athabasca Project Group. The Peace-Athabasca Delta Project Technical Report (1 Volume) + Technical Appendices (3 Volumes): Technical Report-A Report on Low Water Levels in Lake Athabasca and Their Effects on the Peace-Athabasca Delta. V.1 Appendices-Hydrologic Investigations; V.2 Appendices-Ecological Investigations; V.3 Appendices-Supporting Studies; Peace-Athabasca Delta Project Group: Delta, BC, Canada, 1973
24. Jaques, D.R. Topographic Mapping and Drying Trends in the Peace-Athabasca Delta, Alberta Using LANDSAT MSS Imagery; Report for Wood Buffalo National Park; Ecostat Geobotanical Surveys Inc.: Fort Smith, NT, Canada, 1989; p. 36
25. Wolfe, B.B.; Hall, R.; Last, W.M.; Edwards, T.W.D.; English, M.; Karst-Riddoch, T.L.; Paterson, A.M.; Palmini, R. Reconstruction of Multi-Century Flood Histories from Oxbox Lake Sediments, Peace Athabasca Delta, Alberta, Canada. Hydrol Proces. 2006, 20, 4131-4153
26. Peters, D.L.; Prowse, T.D.; Marsh, P.; Lafleur, P.M.; Buttle, J.M. Persistence of water within Perched Basins of the Peace-Athabasca Delta, Northern Canada. Wetl. Ecol. Manag. 2006, 14, 221-243
27. Peters, D.L.; Prowse, T.D.; Pietroniro, A.; Leconte, R. Flood hydrology of the Peace Athabasca Delta, northern Canada. Hydrol. Process. 2006, 20, 4073-4096
28. Pope, K.O.; Rejmankova, E.; Paris, J.F.; Woodruff, R. Detecting seasonal flooding cycles in marshes of the Yucatan Peninsula with SIR-C polarimetric radar imagery. Remote Sens. Environ. 1997, 59, 157-166
29. Townsend, P.A. Relationship between forest structure and the detection of flood inundation in forested wetlands using C-band SAR. Int. J. Remote Sens. 2002, 23, 443-460
30. Brisco, B.; Kapfer, M.; Hirose, T.; Tedford, B.; Liu, J. Evaluation of C-band polarisation diversity and polarimetrey for wetland mapping. Can. J. Remote Sens. 2011, 37, 82-92
31. Brisco, B. Mapping and monitoring surface water and wetlands with synthetic aperture radar. In Remote Sensing of Wetlands, Applications and Advances; Tiner, R.W., Lang, M.W., Klemas, V.V., Eds.; CRC Press: Boca Raton, FL, USA, 2015; Chapter 6; pp. 119-136
32. Isenburg, M. LAStools-Effcient LiDAR Processing Software (Version 141017, Academic). 2017. Available online: http://rapidlasso.com/LAStools (accessed on 11 May 2018)
33. American Society for Photogrammetry and Remote Sensing (ASPRS). LAS Specification, Version 1.4-R6. 2011 Available online: www.asprs.org (accessed on 19 September 2018)
34. Mahoney, C.; Hall, R.; Hopkinson, C.; Filiatrault, M.; Beaudoin, A.; Chen, Q. A forest attribute mapping framework: a pilot study in a northern boreal forest, Northwest Territories, Canada. Remote Sens. 2018, 10, 1338
35. Guisan, A.; Weiss, S.B.; Weiss, A.D. GLM versus CCA spatial modeling of plant species distribution. Kluwer Academic Publishers. Plant Ecol. 1999, 143, 107-122
36. Jones, K.B.; Heggem, D.T.;Wade, T.G.; Neale, A.C.; Ebert, D.; Nash, M.S.; Mehaffey, M.H.; Goodman, I.A.; Hermann, K.A.; Selle, A.R.; et al. Assessing landscape conditions relative to water resources in the western United States: A strategic approach. Environ. Monit. Assess. 2000, 64, 227-245
37. Weiss, A. Topographic Position and Landforms Analysis. Presented at ESRI User Conference, San Diego, CA, USA, 9-13 July 2001
38. Toutin, T. Corrigendum to the paper State-of-the-art of geometric correction of remote sensing data: A data fusion perspective. Int. J. Image Data Fusion 2011, 2, 283-286
39. Zhang, F.; Xie, C.; Li, K.; Xu, M.; Wang, X.; Xia, Z. Forest and deforestation identification based on multi-temporal polarimetric RADARSAT-2 images in Southwestern China. J. Appl. Remote Sens. 2012, 6, 063527
40. White, L.; Brisco, B.; Dabboor, M.; Schmitt, A.; Pratt, A. A collection of SAR methodologies for monitoring wetlands. Remote Sens. 2015, 7, 7615-7645
41. Burrough, P.A.; Gaans, P.F.M.; MacMillan, R.A. High-resolution landform classification using fuzzy k-means. Fuzzy Sets Syst. 2000, 113, 37-52
42. Burrough, P.A.;Wilson, J.P.; van Gaans, P.F. Fuzzy K-means classification of topo-climatic data as an aid to forest mapping in the Greater Yellowstone Area, USA. Landsc. Ecol. 2001, 16, 523
43. Lane, C.; Liu, H.; Autrey, B.C.; Anenkhonov, O.; Chepinoga, V.; Wu, Q. Improved wetland classification using eight-band high resolution satellite imagery and a hybrid approach. Remote Sens. 2014, 6, 12187-12216
44. Stewart, R.E.; Kantrud, H.A. Classification of Natural Ponds and Lakes in the Glaciated Prairie Region; Resource Publication 92; Bureau of Sport Fisheries and Wildlife, U.S. Fish and Wildlife Service: Washington, DC, USA, 1971; p. 57
45. Cowardin, L.M.; Carter, V.; Golet, F.C.; LaRoe, E.T. Classification of Wetlands and Deepwater Habitats of the United States; FWS/OBS-79/31; U.S. Department of the Interior, Fish and Wildlife Service. Offce of Biological Services: Washington, DC, USA, 1979; p. 131
46. Freeman, A.; Durden, S.L. A three-component scattering model for polarimetric SAR data. IEEE Trans. Geosci. Remote Sens. 1998, 36, 963-973
47. Touzi, R.; Boerner, W.M.; Lee, J.S.; Luenberg, E. A review of polarimetry in the context of synthetic aperture radar: Concepts and information extraction. Can J. Remote Sens. 2004, 30, 380-407
48. Jenness, J. Topographic Position Index (tpi_jen.avx) Extension for ArcView 3.x, v. 1.2. Jenness Enterprises, 2006 Available online: http://www.jennessent.com/arcview/tpi.htm (accessed on 14 March 2018)
49. Brisco, B.; Ahren, F.; Murnaghan, K.; White, L.; Canisus, F.; Lancaster, P. Seasonal Change in Wetland Coherence as an Aid to Wetland Monitoring. Remote Sens. 2017, 9, 158
50. Alberta Environment and Sustainable Resource Development (ESRD). Alberta Wetland Classification System; Water Policy Branch, Policy and Planning Division: Edmonton, AB, Canada, 2015
51. Frazier, P.S.; Page, K.J. Water body detection and delineation with Landsat TM data. Photogramm. Eng. Remote Sens. 2000, 66, 1461-1468
52. Sawaya, K.E.; Olmanson, L.G.; Heinert, N.J.; Brezonik, P.L.; Bauer, M.E. Extending satellite remote sensing to local scales: Land and water resource monitoring using high-resolution imagery. Remote Sens. Environ. 2003, 88, 144-156
53. Peiman, R.; Ali, H.; Brisco, B.; Hopkinson, C. An automated open-source Python-based processing engine for SAR water body extraction: SARWATPy. Can. J. Remote Sens. 2018. submitted
54. Hopkinson, C.; Chasmer, L.E.; Zsigovics, G.; Creed, I.; Sitar, M.; Kalbfleisch,W.; Treitz, P. Vegetation class dependent errors in LiDAR ground elevation and canopy height estimates in a Boreal wetland environment. Can. J. Remote Sens. 2005, 31, 191-206
55. Crasto, N.; Hopkinson, C.; Forbes, D.L.; Lesack, L.; Marsh, P.; Spooner, I.; Van Der Sanden, J.J. A LiDAR-based decision-tree classification of open water surfaces in an Arctic delta. Remote Sens. Environ. 2015, 164, 90-102
56. Jahn, R.G.; Dunne, B.J. Science of the subjective. J. Sci. Explor. 1997, 11, 201-224
57. Goodchild, M.F. Metrics of scale in remote sensing and GIS. Int. J. Appl. Earth Obs. Geoinf. 2001, 3, 114-120
58. Singh, G.; Yamaguchi, Y.; Park, S.-E. 4-Component Scattering Power Decomposition with Phase Rotation of Coherency Matrix. In Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, Vancouver, BC, Canada, 25-29 July 2011
59. Cui, Y.; Yamaguchi, Y.; Yang, J.; Park, S.; Kobayashi, H.; Singh, G. Three-component power decomposition for polarimetric SAR data based on adaptive scatter modeling. Remote Sens. 2012, 4, 1559-1572
60. Canadian Space Agency. RADARSAT Constellation. Available online: http://www.asc-csa.gc.ca/eng/satellites/radarsat (accessed on 23 June 2018)
61. Hopkinson, C.; Pietroniro, A.; Pomeroy, J. (Eds.) HYDROSCAN: Airborne Laser Mapping of Hydrological Features and Resources; Canadian Water Resources Association: Saskatoon, SK, Canada, 2008
62. Kropatsch, W.G.; Strobl, D. The generation of SAR layover and shadow maps from digital elevation models. IEEE Trans. Geosci. Remote Sens 1990, 28, 98-107
63. Hopkinson, C.; Crasto, N.; Marsh, P.; Forbes, D.L.; Lesack, L.F.W. Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR. Hydrol. Process. 2011, 25, 2995-3011