Regional characterization of land cover using multiple sources of data

Photogrammetric Engineering and Remote Sensing

Volumn 64, Issue 1, 1998, Pages 45-57

  Vogelmann, J E ^a   Sohl, T ^a   Howard, S M ^a  

^a EARTH RESOURCES OBSERVATION AND SCIENCE EROS CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LANDCOVER MAPPING; LANDSAT TM; REMOTE SENSING;

EID: 0031936394     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Anderson, J.F., E.E. Hardy, J.T. Roach, and R.E. Witmer, 1976. A Land Use and Land Cover Classification System for Use with Remote Sensor Data, U.S. Geological Survey Professional Paper 964, 28 p.
2. Benjamin, S., J.M. White, D. Argiro, and K. Lowell., 1996. Land cover mapping with Spectrum, Gap Analysis: A Landscape Approach to Biodiversity Planning (J.M. Scott, T. Tear, and F. Davis, editors), Proceedings of the ASPRS/GAP Symposium, National Biological Service, Moscow, Idaho, pp. 279-288.
3. Brown, J.F., T.R. Loveland, J.W. Merchant, B.C. Reed, and D.O. Ohlen, 1993. Using multisource data in global land cover characterization: Concepts, requirements, and methods, Photogrammetric Engineering & Remote Sensing, 59(6):977-987.
4. Bureau of the Census, 1991a. Census of Population and Housing, 1990, public law 94-171 data (United States) (machine readable _, data files), The U.S. Bureau of the Census (producer and distributor), Washington, D.C.
5. _, 1991b. Census of Population and Housing, 1990, public law 94-171 data, on-line documentation (United States), The U.S. Bureau of the Census, Washington, D.C.
6. _, 1992. TIGER/Line Files (machine readable data files), The Bureau of the Census (producer and distributor), Washington, D.C.
7. _, 1993. Census of the Agriculture, Final County Files (machine-readable data file), 1992, The Bureau of the Census (producer and distributer), Washington, D.C.
8. Cibula, W.G., and M.O. Nyquist, 1987. Use of topographic and climatological models in a geographical data base to improve Landsat MSS classification for Olympic National Park, Photogrammetric Engineering & Remote Sensing, 53:67-75.
9. Congalton, R.G., 1991. A review of assessing the accuracy of classifieations of remotely sensed data, Remote Sensing of Environment, 37:35-46.
10. Dobson, J.E., E.A. Bright, R.L. Ferguson, D.W. Field, L.L. Wood, K.D. Haddad, H. Iredale III, J.R. Jensen, V.V.Klemas, R.J. Orth, and J.P. Thomas, 1995. NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, Seattle, Washington.
11. Edwards, T.C., Jr., C.G. Homer, S.D. Bassett, A. Falconer, R.D. Ramsey, and D.W. Wight, 1995. Utah Gap Analysis: An Environmental Information System, Final Project Report 95-1, Utah Cooperative Fish and Wildlife Research Unit, Utah State University, Logan, Utah, 60 p.
12. Elvidge, C.D., K.E. Baugh, E.A. Kihn, H.W. Kroehl, and E.R. Davis, 1997. Mapping city light with nighttime data from the DMSP Operational Linescan System, Photogrammetric Engineering & Remote Sensing, 63(6):727-734.
13. Franklin, S.E., 1994. Discrimination of subalpine forest species and canopy density using digital CASI, SPOT PLA and Landsat TM data, Photogrammetric Engineering & Remote Sensing, 60:1233-1241.
14. Harris, P.M., and S.J. Ventura, 1995. The integration of geographic data with remotely sensed imagery to improve classification in an urban area, Photogrammetric Engineering & Remote Sensing, 61:993-998.
15. Hitt, K.J., 1992. Digital Map File of 1990 Population and Housing Data for the United States, Edition 1.2 (digital data file), U.S. Geological Survey, Reston, Virginia.
16. Hittelman, A, M., H. Iredale, M. Hollinger, and D. Field, 1994. Coastal Change Analysis Project, Chesapeake Bay Region (1984- 1989), CD-ROM User's Manual (and accompanying machine-readable data files), U.S. Department of Commerce, 22 p.
17. Homer, C.G., D. Ramsey, T.C. Edwards, Jr., and A. Falconer, 1997. Landscape cover-type mapping and modeling using a multi-scene Thematic Mapper mosaic, Photogrammetric Engineering & Remote Sensing, 63:59-67.
18. Klemas, V., J.E. Dobson, R.L. Ferguson, and K.D. Haddad, 1993. A coastal land cover classification system for the NOAA Coast Watch Change Analysis Project, J. Coastal Res., 9:862-872.
19. Loveland, T.R., J.W. Merchant, D.O. Ohlen, and J.F. Brown, 1991. Development of a land-cover characteristics database for the conterminous U.S., Photogrammetric Engineering & Remote Sensing, 57:1453-1463.
20. Loveland, T.R., and D.M. Shaw, 1996. Multiresolution land characterization: Building collaborative partnerships, Gap Analysis: A Landscape Approach to Biodiversity Planning (J.M. Scott, T. Tear, and F. Davis, editors), Proceedings of the ASPRS/GAP Symposium, Charlotte, North Carolina, National Biological Service, Moscow, Idaho, pp. 83-89.
21. Michaelsen, J., D.S. Schimel, M.A. Friedl, F.W. Davis, and R.C. Dubayah, 1994. Regression tree analysis of satellite and terrain data to guide vegetation sampling and surveys, Journal of Vegetation Science, 5:673-686.
22. Kelly, P.M., and J.M. White, 1993. Preprocessing remotely sensed data for efficient analysis and classification, Applications of Artificial Intelligence 1993, Knowledge-Based Systems in Aero-space and Industry, Proceedings of SPIE, pp. 24-30.
23. Omernik, J.M., 1987. Ecoregions of the conterminous United States, Annals of the Association of American Geographers, 77:118-125.
24. Scott, J.M., T.H. Tear, and F.W. Davis (editors), 1996. Gap Analysis. A Landscape Approach to Biodiversity Planning, Proceedings of the ASPRS/GAP Symposium, National Biological Service, Moscow, Idaho, 320 p.
25. Shapiro, C., 1995. Coordination and Integration of Wetland Data for Status and Trends and Inventory Estimates, Federal Geographic Data Committee Technical Report 2, U.S. Geological Survey, 210 p.
26. Slaymaker, D.M., K. M. L. Jones, C. R. Griffin, and J. T. Finn, 1996. Mapping deciduous forests in southern New England using aerial videography and hyperclustered multi-temporal Landsat TM imagery, Gap Analysis: A Landscape Approach to Biodiversity Planning (J.M. Scott, T. Tear, and F. Davis, editors), Proceedings of the ASPRS/GAP Symposium, National Biological Service, Moscow, Idaho, pp. 87-101.
27. U.S. Fish and Wildlife Service, 1996. National Wetlands Inventory (NWI) Metadata, U.S. Fish and Wildlife Service, National Wetlands Inventory, St. Petersburg, Florida.
28. U.S. Geological Survey, 1990. Land Use and Land Cover Digital Data from 1:250,000- and 1:1,000,000-Scale Maps, Data Users Guide 4, U.S. Geological Survey, Department of the Ulterior, Reston, Virginia, 33 p.
29. _, 1993. US GeoData Digital Elevation Models, Data Users Guide 5, U.S. Geological Survey, Department of the Interior, Reston, Virginia, 51 p.
30. Vogelmann, J.E., 1990. Comparison between two vegetation indices for measuring different types of forest damage in the northeastern United States, International Journal of Remote Sensing, 11: 2281-2297.
31. Vogelmann, J.E., and B.N. Rock, 1988. Assessing forest damage in high-elevation coniferous forests in Vermont and New Hampshire using Thematic Mapper data, Remote Sensing of Environment, 24:227-246.
32. Vogelmann, J.E., P.M. Seevers, and M. Oimoen, 1996. Effects of selected variables for discriminating land cover: Multiseasonal data, different clustering algorithms, and varying numbers of clusters, Proceedings of the Pecora 13 Symposium, Sioux Falls, South Dakota, 20-22 August, in press.