A rule-based method for mapping Canada's wetlands using optical, radar and DEM data

International Journal of Remote Sensing

Volumn 26, Issue 22, 2005, Pages 5051-5069

  Li, Junhua ^a   Chen, Wenjun ^b  

^a Noetix Research Inc   (Canada)

^b CANADA CENTRE FOR REMOTE SENSING   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; MAPPING; OPTICAL SENSORS; RADAR IMAGING; SATELLITES; WETLANDS;

DIGITAL ELEVATION MODEL; RULE-BASED METHOD;

REMOTE SENSING;

DIGITAL ELEVATION MODEL; MAPPING; MONITORING; OPTICAL METHOD; REMOTE SENSING; SATELLITE IMAGERY; SYNTHETIC APERTURE RADAR; WETLAND;

EID: 33745088736     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160500166516     Document Type: Review

References (53)

1. Agresti, A.(1990). In Categorical Data Analysis. New York: John Wiley & Sons.
2. Augusteijn, M. F. and Warrender, C. E. (1998) Wetland classification using optical and radar data and neural network classification. International Journal of Remote Sensing, 19, pp. 1545-1560.
3. Baghada, N. and Bernier, M. and Gauthier, R. and Neeson, I. (2001) Evaluation of C-band SAR data for wetlands mapping. International Journal of Remote Sensing, 22, pp. 71-88.
4. Bolstad, P. V. and Lillesand, T. M. (1992) Rule-based classification models: Flexible integration of satellite imagery and thematic spatial data. Photogrammetric Engineering and Remote Sensing, 58, pp. 965-971.
5. Canadian Wetland Inventory Technical Group. (2003). Remotely sensed hierachical wetland classification system proposed for the national wetland inventory project. Internal Report
6. Cihlar, J. and Tarnocai, C., (Eds).(2000). In Wetlands of Canada and Climate Change: Observation Strategy and Baseline Data. Report of a Workshop, 24-25 January, 2000, Ottawa, Ontario, Canada
7. Congalton, R. G. (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, pp. 35-46.
8. CTI. (2000) Canadian Digital Elevation Data Standards and Specifications. Centre for Topographic Information, Natural Resources Canada
9. Dwivedi, R. S. and Rao, B. R. M. and Bhattacharya, S. (1999) Mapping wetlands of the Sundaban delta and its environs using ERS-1 SAR data. International Journal of Remote Sensing, 20, pp. 2235-2247.
10. ENVISAT. 2003. EnviSat applications. European Space Agency,website: http://www.esa.int/envisat/
11. Gao, B. C. (1996) NDWI: A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 58, pp. 257-266.
12. Haack, B. (1996) Environmental auditing: Monitoring wetland changes with remote sensing: An east African example. Environmental Management, 20, pp. 411-419.
13. Hellwich, O. and Wiedemann, C. (1999) Multisensor data fusion for automated scene interpretation. SPIE: Image and Signal Processing for Remote Sensing V, 3871, pp. 284-295.
14. Hess, L. L. and Melack, J. M. and Simonett, D. S. (1990) Radar detection of flooding beneath the forest canopy: A review. International Journal of Remote Sensing, 11, pp. 1313-1325.
15. Hess, L. L. and Melack, J. and Filoso, S. and Wang, Y. (1995) Delineation of inundated area and vegetation along the Amzon floodplain with the SIR-C synthetic aperture radar. IEEE Transactions on Geoscience and Remote Sensing, 33, pp. 896-904.
16. Hodgson, M. E. and Jensen, J. R. (1987) Remote sensing of wetland habitat: A wood stork example. Photogrammetric Engineering and Remote Sensing, 53, pp. 1075-1080.
17. Horritt, M. S. and Mason, D. C. and Cobby, D. M. and Davenport, I. J. and Bates, P. D. (2003) Waterline mapping in flooded vegetation from airborne SAR imagery. Remote Sensing of Environment, 85, pp. 271-281.
18. IPCC.(2001). In Climate Change 2001, The Scientific Basis. New York: Cambridge University Press. Contribution of working group 1 to the third assessment report of the intergovernmental panel on climate changes
19. Jensen, J. R. and Hodgson, M. and Christensen, E. and Mackey, H. E. and Tinney, L. and Sharitz, R. (1986) Remote sensing of inland wetlands: A multispectral approach. Photogrammetric Engineering and Remote Sensing, 52, pp. 87-100.
20. Jensen, J. R. and Cowen, D. and Althausen, J. and Narumalani, S. and Weatherbee, O. (1993) An evaluation of the coast watch change detection protocol in south Carolina. Photogrammetric Engineering and Remote Sensing, 59, pp. 1039-1046.
21. Johnston, R. M. and Barson, M. M. (1993) Remote sensing of Australian wetland: An evaluation of Landsat TM data for inventory and classification. Australian Journal of Marine Freshwater Resources, 44, pp. 235-252.
22. Kasischke, E. S. and Melack, J. M. and Dobson, M. C. (1997) The use of imaging radars for ecological applications: A review. Remote Sensing of Environment, 59, pp. 141-156.
23. Kindscher, K. and Fraser, A. and Jakubauskas, M. E. and Debinski, D. M. (1998) Identifying wetland meadows in Grand Teton Nation Park using remote sensing and average wetland values. Wetlands Ecology and Management, 5, pp. 265-273.
24. Kushwaha, S. P. S. and Dwivedi, R. S. and Rao, B. R. M. (2000) Evaluation of various digital image processing techniques for detection of coastal wetlands using ERS-1 SAR data. International Journal of Remote Sensing, 21, pp. 565-579.
25. Laine, B. B. and Naslund-Landenmark, B. (2002) Wetland classification for Swedish CORINE Land Cover adopting a semi-automatic interactive approach. Canadian Journal of Remote Sensing, 28, pp. 139-155.
26. Lunetta, R. S. and Barlogh, M. E. (1999) Application of multi-temporal landsat 5 TM imagery for wetland identification. Photogrammetric Engineering and Remote Sensing, 65, pp. 1303-1310.
27. Milne, A. K. and Horn, G. and Finlayson, M. (2000) Monitoring wetlands inundation patterns using Radarsat multitemporal data. Canadian Journal of Remote Sensing, 26, pp. 133-141.
28. Milton, G. and Helie, R.(2003). Wetlands inventory and monitoring: partnering to provide a national coverage. Conference on Canadian Wetlands Stewardship 3 February 2003. In [pp. 21-30].
29. Moghaddam, M. and Saatchi, S. and Cuenca, R. (2000) Estimating subcanopy soil moisture with radar. Journal of Geophysical Research, 102, pp. 29599-29610.
30. Moghaddam, M. and Mcdonald, K. and Cihlar, J. and Chen, W. (2003) Mapping wetlands of the North American boreal zone from satellite SAR imagery. IGARSS 2003.
31. NASA. (2003). Landsat Information. http://landsat.gsfc.nasa.gov/project/17policy.html
32. National Wetlands Working Group.(1997). In The Canadian Wetland Classification System 2. Waterloo, Ontario: The Wetlands Research Centre, University of Waterloo.
33. NRTEE. (2003). National Round Table on the Environment and the Economy. http://www.nrtee-trnee.ca/Publications/PDF/Report_Indicators_E.pdf
34. Ozesmi, S. L. and Bauer, M. E. (2002) Satellite remote sensing of wetlands. Wetlands Ecology and Management, 10, pp. 381-402.
35. Parmuchi, M. G. and Karszenbaum, H. and Kandus, P. (2002) Mapping wetlands using multitemporal RADARSAT-1 data and a decision-based classifier. Canadian Journal of Remote Sensing, 28, pp. 175-186.
36. Perner, P. (2001) Improving the accuracy of decision tree induction by feature presentation. Applied Artifical Intelligence, 15, pp. 747-760.
37. Pope, K. O. and Rejmankova, E. and Paris, J. F. and Woodruff, R. (1997) Detecting seasonal flooding cycles in marches of the Yucatan Peninsula with SIR-C polarimetric radar imagery. Remote Sensing of Environment, 59, pp. 157-166.
38. Ramsar Convention on Wetlands. 2003. Wetlands sites descriptions. Website: www.ramsar.org
39. Ramsey III, E. W. and Laine, S. (1997) Comparison of Landsat Thematic Mapper and high resolution photography to identify change in complex coastal wetlands. Journal of Coastal Research, 13, pp. 281-292.
40. Richards, J. A. and Jia, X.(1999). In Remote Sensing Digital Image Analysis: An Introduction. Berlin: Springer.
41. Rogan, J. and Miller, J. and Stow, D. and Franklin, J. and Levien, L. and Fisher, C. (2003) Land-cover change monitoring with classification trees using Landsat TM and ancillary data. Photogrammetric Engineering and Remote Sensing, 69, pp. 793-804.
42. Rundouist, D. and Narumalani, S. and Narayanan, R. (2001) A review of wetlands remote sensing and defining new considerations. Remote Sensing Reviews, 20, pp. 207-226.
43. Sader, S. A. and Ahl, D. and Liou, W. (1995) Accuracy of Landsat-TM and GIS rule-based methods for forest wetland classification in Maine. Remote Sensing of Environment, 53, pp. 133-144.
44. Seevers, P. and Peterson, R. and Mahoney, R. and Maroney, D. and Rundquist, D.(1975) An inventory of Nebraska wetlands with the use of imagery from the Earth Resources Technology Satellite. In Proceedings, Fourth Annual Remote Sensing of Earth Resources Conference. (pp. 281-292). University of Tennessee Space Institute
45. Sokol, J. (2003) Monitoring northern Atlantic Canadian wetlands using remote sensing techniques. Masters thesis, Carleton University
46. Sokol, J. and Mcnairn, H. and Pultz, T. J.Case studies demonstrating hydrological applications of C-Band multi-polarized and polarimetric SAR. Canadian Journal of Remote Sensing.
47. Sokol, J. and Ncnairn, H. and Pultz, T. J. (2004) Case studies demonstrating the hydrological applications of C-band multipolarized and polarimetric SAR. Canadian Journal of Remote Sensing, 30, pp. 470-483.
48. Tarnocai, C. and Kettles, I. M. and Lacelle, B. (2000) Peatlands of Canada. Geological Survey of Canada. Open File 3834 (digital database)
49. Touzi, R. (2004). Personal communication
50. Townsend, P. A. (2001) Mapping seasonal flooding in forested wetlands using multitemporal Radarsat SAR. Photogrammetric Engineering and Remote Sensing, 67, pp. 857-864.
51. Townsend, P. A. and Walsh, S. J. (1998) Modeling floodplain inundation using an integrated GIS with radar and optical remote sensing. Geomophology, 21, pp. 295-312.
52. Wang, J. and Shang, J. and Brisco, B. and Brown, R. J. (1998) Evaluation of multidate ERS-1 and multispectral Landsat imagery for wetland detection in southern Ontario. Canadian Journal of Remote Sensing, 24, pp. 60-68.
53. Yamagata, Y. and Yasuoka, Y. (1993) Classification of wetland vegetation by texture analysis methods using ERS-1 and JERS-1 images. Proceedings of IGARSS, 93, pp. 1614-1616.