Assessing map accuracy in a remotely sensed, ecoregion-scale cover map

Remote Sensing of Environment

Volumn 63, Issue 1, 1998, Pages 73-83

  Edwards Jr , Thomas C ^a   Moisen, Gretchen G ^b   Cutler, D Richard ^c  

^a U S GEOLOGICAL SURVEY   (United States)

^b USDA FOREST SERVICE   (United States)

^c UTAH STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ECOREGION SCALE COVER MAP;

ECOLOGY; MAPS; PARAMETER ESTIMATION; RANDOM PROCESSES;

REMOTE SENSING;

CONSERVATION; DATA PROCESSING; LAND COVER; LARGE AREA MAP; MAP ACCURACY; MAPPING; REMOTE SENSING; REMTE SENSING;

USA, UTAH;

EID: 0345403556     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(96)00246-5     Document Type: Article

References (40)

1. Aronoff S. The map accuracy report. a user's view Photogram. Eng. Remote Sens. 48:1982;1309-1312.
2. August P., Michaud J., Labash C., Smith C. GPS for environmental applications. accuracy and precision of locational data Photogram. Eng. Remote Sens. 60:1994;41-45.
3. Bassett, S. D., Edwards, T. C., Jr., and C. G. Homer, An attribute based algorithm for generalizing thematic maps. Int. J. GIS (in review).
4. Beard, K. M., Clapham, S., and Buttenfield, B. P. (1991), Visualization of spatial data quality. Technical Paper No. 91-26, Natl. Center Geographic Information Analysis, Univ. Calif. Santa Barbara, CA.
5. Berry B. J. L., Baker A. M. Geographic sampling. Berry B. J. L., Marble D. F. Spatial Analysis. A Reader in Statistical Geography:1968;91-100 Prentice-Hall, Englewood Cliffs, NJ.
6. Bolstad P. V., Smith J. L. Errors in GIS. assessing spatial data accuracy J. For. 90:1992;21-29.
7. Chrisman N. R. Modelling error in overlaid categorical maps. Goodchild M., Gopal S. Accuracy of Spatial Databases. 1989;21-34 Taylor and Francis, Philadelphia.
8. Congalton R. G. Using spatial autocorrelation analysis to explore the errors in maps generated from remotely sensed data. Photogram. Eng. Remote Sens. 54:1988;587-592. a.
9. Congalton R. G. A comparison of sampling schemes used in generating error matrices for assessing the accuracy of maps generated from remotely sensed data. Photogram. Eng. Remote Sens. 54:1988;593-600. b.
10. Congalton R. G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 37:1991;35-46.
11. Edwards T. C. Jr., Deshler E., Foster D., Moisen G. G. Adequacy of wildlife habitat relation models for estimating spatial distributions of terrestrial vertebrates. Conserv. Biol. 10:1996;263-270.
12. Edwards, T. C., Jr., Homer, C. G., Bassett, S. D., Falconer, A., Ramsey, R. D., and Wight, D. W. (1995), Utah Gap Analysis: an environmental information system. Technical Paper No. 95-1, Utah Cooperative Fish and Wildlife Research Unit, Utah State Univ., Logan, Utah.
13. Edwards T. C. Jr., Scott J. M. Use of Gap Analysis as a tool for the management of biodiversity. Thompson I. D. Proc. Twenty-first Congr. Int. Union of Game Biologists Vol. 1. 1994;82-86.
14. Edwards T. C. Jr., Scott J. M., Homer C. G., Ramsey R. D. Gap analysis. a geographic approach for assessing national biological diversity Natl. Res. Environ. Issues. 2:1993;65-72.
15. Ginevan M. E. Testing land-use map accuracy. another look Photogram. Eng. Remote Sens. 45:1979;1371-1377.
16. Goodchild M. F. Modelling error in objects and fields. Goodchild M., Gopal S. Accuracy of Spatial Databases. 1989;107-113 Taylor and Francis, Philadelphia.
17. Gopal S., Woodcock C. Theory and methods for accuracy assessment of thematic maps using fuzzy sets. Photogram. Eng. Remote Sens. 60:1989;181-188.
18. Green E. J., Strawderman W. E., Airola T. M. Assessing classification probabilities for thematic maps. Photogram. Eng. Remote Sens. 59:1993;635-639.
19. Hay A. M. Sampling designs to test land-use map accuracy. Photogram. Eng. Remote Sens. 45:1979;529-533.
20. Homer C. G., Edwards T. C. Jr., Ramsey D. H., Price K. H. Use of remote sensing methods in modeling sage grouse winter habitat. J. Wildl. Manage. 57:1993;78-84.
21. Homer, C. H., Ramsey, R. D., Edwards, T. C., Jr., and Falconer, A. (1997), Landscape cover-type modelling using a multi-scene TM mosaic. Photogram. Eng. Remote Sens. (in press).
22. Hord R. M., Brooner W. Land-use map accuracy criteria. Photogram. Eng. Remote Sens. 42:1976;671-677.
23. Hunter G. J., Goodchild M. F. Dealing with error in spatial databases. a simple case study Photogram. Eng. Remote Sens. 61:1995;529-537.
24. Karieva P. No shortcuts in new maps. Nature. 365:1993;292-293.
25. Merrill, T., Wright, R. G., and Scott, J. M. Using ecological criteria to evaluate wilderness planning options in Idaho. Environ. Manage. (in press).
26. Moisen, G. G., Cutler, D. R., and Edwards, T. C., Jr. (1996), Generalized mixed models for analyzing error in a satellite-based vegetation map of Utah. In Spatial Accuracy Assessment in Natural Resources (H. T. Mower, R. L. Czaplewski, and R. H. Hamre, Eds.), USDA Forest Service General Technical Report No RM-GTR-277, USDA, Ft. Collins, CO, pp. 459-466.
27. Moisen G. G., Edwards T. C. Jr., Cutler D. R. Spatial sampling to assess classification accuracy of remotely sensed data. Brunt J., Stafford S. S., Michener W. K. Environmental Information Management and Analysis. Ecosystem to Global Scales:1994;161-178 Taylor and Francis, Philadelphia.
28. Monserud R. A., Leemans R. Comparing global vegetation maps with the Kappa statistic. Ecol. Model. 62:1992;275-293.
29. Omernik J. M. Map supplement. ecoregions of the conterminous United States Ann. Assoc. Am. Geogr. 77:1987;118-125(map).
30. Openshaw S. Learning to live with errors in spatial databases. Goodchild M., Gopal S. Accuracy of Spatial databases. 1989;21-34 Taylor and Francis, Philadelphia.
31. Richards J. A. Remote Sensing Digital Image Analysis. An Introduction:1986;Springer-Verlag, New York.
32. Rosenfield G. H. Sample design for estimating change in land use and land cover. Photogram. Eng. Remote Sens. 48:1982;793-801.
33. Rosenfield G. H. Analysis of thematic map classification error matrices. Photogram. Eng. Remote Sens. 52:1986;681-686.
34. Rosenfield G. H., Fitzpatrick-Lins K., Ling H. Sampling for thematic accuracy testing. Photogram. Eng. Remote Sens. 52:1986;397-399.
35. Scott, J. M., Davis, F., Csuti, B., Noss, R., Butterfield, B., Caicco, S., Groves, C., Edwards, T. C., Jr., Ulliman, J., Anderson, H., D'Erchia, F., and Wright, R. G. (1993), Gap analysis: a geographic approach to protection of biological diversity. Wildl. Monogr. No. 123.
36. Stehman S. V. Comparison of systematic and random sampling for estimating the accuracy of maps generated from remotely sensed data. Photogram. Eng. Remote Sens. 58:1992;1343-1350.
37. Stoms D. M., Davis F. W., Cogan C. B., Painho M. O., Duncan B. W., Scapan J., Scott J. M. Geographic analysis of California Condor siting data. Conserv. Biol. 7:1993;148-159.
38. Story M., Congalton R. G. Accuracy assessment. a user's perspective Photogram. Eng. Remote Sens. 52:1986;397-399.
39. Veregin, H. (1989a), Accuracy of spatial databases: annotated bibliography. Technical Paper No. 89-9, Natl. Center Geographic Information Analysis, Univ. Calif., Santa Barbara, CA.
40. Veregin, H. (1989b), A taxonomy of error in spatial databases. Technical Paper No. 89-12, Natl. Center Geographic Information Analysis, Univ. Calif, Santa Barbara, CA.