Accuracy assessment of a land-cover map of the Kuparuk River basin, Alaska: Considerations for remote regions

Photogrammetric Engineering and Remote Sensing

Volumn 64, Issue 6, 1998, Pages 619-628

  Muller, S V ^a   Walker, D A ^a   Nelson, F E ^b   Auerbach, N A ^a   Bockheim, J G ^c   Guyer, S ^d   Sherba, D ^d  

^a UNIVERSITY OF COLORADO   (United States)

^b UNIVERSITY OF DELAWARE   (United States)

^c UNIVERSITY OF WISCONSIN MADISON   (United States)

^d BUREAU OF LAND MANAGEMENT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; LAND COVER MAPPING; LANDSAT MSS;

USA, ALASKA, KUPARUK RIVER BASIN;

EID: 0031780748     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (41)

1. Berry, B.J.L., and A.M. Baker, 1968. Geographic sampling, Spatial Analysis: A Reader in Statistical Geography (B.J.L. Berry and D.F. Marble, editors), Prentice Hall, Inc., Englewood Cliffs, N.J., pp. 91-100.
2. Card, D.H., 1982. Using known map category marginal frequencies to improve estimates of thematic map accuracy, Photogrammetric Engineering & Remote Sensing, 48(3):431-439.
3. Cohen, J., 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1):37-40.
4. Congalton, R.G., 1988. A comparison of sampling schemes used in generating error matrices for assessing the accuracy of maps generated from remotely sensed data, Photogrammetric Engineering & Remote Sensing, 54(5):593-600.
5. _, 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of the Environment, 37: 37-46.
6. Congalton, R.G., and K. Green, 1993. A practical look at the sources of confusion in error matrix generation, Photogrammetric Engineering & Remote Sensing, 59(5):641-644.
7. Congalton, R.G., R.G. Oderwald, and R.A. Mead, 1983. Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques, Photogrammetric Engineering & Remote Sensing, 49(12):1671-1678.
8. Federal Radionavigation Plan, 1994. Department of Defense and Department of Transportation, Springfield, Virginia, 229 p.
9. Felix, N.A., and D.L. Binney, 1989. Accuracy assessment of a Landsat-assisted vegetation map of the coastal plain of the Arctic National Wildlife Refuge, Photogrammetric Engineering & Remote Sensing, 55(4):475-478.
10. Fleming, M.D., 1988. An integrated approach for automated cover-type mapping of large inaccessible areas in Alaska, Photogrammetric Engineering & Remote Sensing, 54(3):357-362.
11. Foody, G.M., 1992. On the compensation for chance agreement in image classification accuracy assessment, Photogrammetric Engineering & Remote Sensing, 58(10):1459-1460.
12. Gong, P., and P.J. Howarth, 1990. An assessment of some factors influencing multi-spectral land-cover classification, Photogrammetric Engineering & Remote Sensing, 56(5):597-603.
13. Gopal, S., and C. Woodcock, 1994. Theory and methods for accuracy assessment of thematic maps using fuzzy sets, Photogrammetric Engineering & Remote Sensing, 60(2):181-188.
14. Hammond, T.O., and D.L. Verbyla, 1996. Optimistic bias in classification accuracy assessment, International Journal of Remote Sensing, 17(6):1261-1266.
15. Hay, A.M., 1979. Sampling designs to test land-use map accuracy, Photogrammetric Engineering & Remote Sensing, 45(4):529-533.
16. Hord, R.M., and W. Brooner, 1976. Land-use map accuracy criteria, Photogrammetric Engineering & Remote Sensing, 42(5):671-677.
17. Hudson, W., and C. Ramm, 1987. Correct formulation of the Kappa coefficient of agreement, Photogrammetric Engineering & Remote Sensing, 53(4):421-422.
18. Hutchinson, C., 1982. Techniques for combining Landsat and ancillary data for digital classification improvement, Photogrammetric Engineering & Remote Sensing, 48(1):123-130.
19. Janssen, L.L.F., and F.J.M. van der Wel, 1994. Accuracy assessment of satellite derived land-cover data: A review, Photogrammetric Engineering & Remote Sensing, 60(4):419-426.
20. Jorgenson, J.C., P.E. Joria, T.R. McCabe, B.E. Reitz, M.K. Raynolds, M. Emers, and M.A. Williams, 1994. User's Guide for the Land-Cover Map of the Coastal Plain of the Arctic National Wildlife Refuge, U.S. Dept. of the Interior, U.S. Fish and Wildlife Service Region 7, Anchorage, Alaska, 46 p.
21. Ma, Z., and R.L. Redmond, 1995. Tau coefficients for accuracy assessment of classification of remote sensing data, Photogrammetric Engineering & Remote Sensing, 61(4):435-439.
22. Markon, C., 1992. Land cover mapping of the Upper Kuskokwim Resource Management Area, Alaska, using Landsat and a digital database approach, Canadian Journal of Remote Sensing, 18(2): 62-70.
23. Markon, C., and W. Kirk, 1994. Development of a Digital Land Cover Data Base for the Selawik National Wildlife Refuge, U.S. Geological Survey, Open-File Report 94-627, 14 p. plus appendix.
24. Morrissey, L.A., and R.A. Ennis, 1981. Vegetation Mapping of the National Petroleum Reserve in Alaska Using LANDSAT Digital Data, U.S. Geological Survey, Open File Report 81-315, 25 p.
25. Naesset, E., 1995. A method to test for systematic differences between maps and reality using error matrices, International Journal of Remote Sensing, 16(16):3147-3156.
26. Pacific Meridian Resources, 1995. National Petroleum Reserve Alaska Land-Cover Inventory: Phase 1 Western NPR-A, Final Report, Pacific Meridian Resources Sacramento, California, 30 p.
27. Rosenfield, G.H., 1986. Analysis of thematic map classification error matrices, Photogrammetric Engineering & Remote Sensing, 52(5): 681-686.
28. Rosenfield, G.H., and K. Fitzpatrick-Lins, 1986. A coefficient of agreement as a measure of thematic classification accuracy, Photogrammetric Engineering & Remote Sensing, 52(2):223-227.
29. Stehman, S.V., 1992. Comparison of systematic and random sampling for estimating the accuracy of maps generated from remotely sensed data, Photogrammetric Engineering & Remote Sensing, 58(9):1343-1350.
30. Story, M., and R.G. Congalton, 1986. Accuracy assessment: A user's perspective, Photogrammetric Engineering & Remote Sensing, 52:397-399.
31. Stow, D., B. Burns, and A. Hope, 1989. Mapping Arctic tundra vegetation types using digital SPOT/HRV-XS data: A preliminary assessment, International Journal of Remote Sensing, 10(8):1451-1457.
32. Thompson, S.K., 1992. Sampling, John Wiley & Sons, New York, New York, 343 p.
33. van Genderen, J.L., and B.F. Lock, 1977. Testing land-use map accuracy, Photogrammetric Engineering & Remote Sensing, 43(9): 1135-1137.
34. Verbyla, D.L., and T.O. Hammond, 1995. Conservative bias in classification accuracy assessment due to pixel-by-pixel comparison of classified images with reference grids, International Journal of Remote Sensing, 16(3):581-587.
35. Walker, D.A., and W. Acevedo, 1987. Vegetation and a Landsat-Derived Land Cover Map of the Beechey Point Quadrangle, Arctic Coastal Plain, Alaska, CRREL Report 87-5, U.S. Army Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire, 63 p. (plus map).
36. Walker, D.A., K.R. Everett, W. Acevedo, L. Gaydos, J. Brown, and P.J. Webber, 1982. Landsat-Assisted Environmental Mapping in the Arctic National Wildlife Refuge, Alaska, CRREL Report 82-27, U.S. Army Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire, 59 p.
37. Walker, D.A., and M.D. Walker, 1991. History and pattern of disturbance in Alaskan arctic terrestrial ecosystems: A hierarchical approach to analyzing landscape change, Journal of Applied Ecology, 28:244-276.
38. _, 1996. Terrain and vegetation of the Imnavait Creek Watershed, Landscape Function: Implications for Ecosystem Disturbance a Case Study in Arctic Tundra (J.F. Reynolds and J.D. Tenhunen, editors), Springer-Verlag, New York, New York, pp. 73-108.
39. Walker, M.D., D.A. Walker, and N.A. Auerbach, 1994. Plant communities of a tussock tundra landscape in the Brooks Range Foothills, Alaska, Journal of Vegetation Science, 5:843-866.
40. Walker, M.D., D.A. Walker, and K.R. Everett, 1989. Wetland Soils and Vegetation, Arctic Foothills, Alaska, Report 89(7), U.S. Fish and Wildlife Service.
41. Weller, G., F.S. Chapin, K.R. Everett, J.E. Hobbie, D. Kane, W.C. Oechel, C.L. Ping, W.S. Reeburg, D. Walker, and J. Walsh, 1995. The Arctic Flux Study: a regional view of trace gas release, Journal of Biogeography, 22:365-374.