Regional Land Cover Characterization Using Landsat Thematic Mapper Data and Ancillary Data Sources
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As part of the activities of the Multi-Resolution Land Characteristics (MRLC) Interagency Consortium, an intermediate-scale land cover data set is being generated for the conterminous United States. This effort is being conducted on a region-by-region basis using U.S. Standard Federal Regions. To date, land cover data sets have been generated for Federal Regions 3 (Pennsylvania, West Virginia, Virginia, Maryland, and Delaware) and 2 (New York and New Jersey). Classification work is currently under way in Federal Region 4 (the southeastern United States), and land cover mapping activities have been started in Federal Regions 5 (the Great Lakes region) and 1 (New England). It is anticipated that a land cover data set for the conterminous United States will be completed by the end of 1999. A standard land cover classification legend is used, which is analogous to and compatible with other classification schemes. The primary MRLC regional classification scheme contains 23 land cover classes.
The primary source of data for the project is the Landsat thematic mapper (TM) sensor. For each region, TM scenes representing both leaf-on and leaf-off conditions are acquired, preprocessed, and georeferenced to MRLC specifications. Mosaicked data are clustered using unsupervised classification, and individual clusters are labeled using aerial photographs. Individual clusters that represent more than one land cover unit are split using spatial modeling with multiple ancillary spatial data layers (most notably, digital elevation model, population, land use and land cover, and wetlands information). This approach yields regional land cover information suitable for a wide array of applications, including landscape metric analyses, land management, land cover change studies, and nutrient and pesticide runoff modeling.
- Anderson, J.F., Hardy, E.E., Roach, J.T., Witmer, R.E.: 1976, ‘A land use and land cover classification system for use with remote sensor data,’ U.S. Geological Survey Professional Paper 964, 28 pp.
- Benjamin, S., White, J.M., Argiro, D., Lowell, K. Land cover mapping with Spectrum. In: Scott, J.M., Tear, T., Davis, F. eds. (1996) Gap Analysis: A Landscape Approach to Biodiversity Planning. National Biological Service, Moscow, ID, pp. 279-288
- Brown, J.F., Loveland, T.R., Merchant, J.W., Reed, B.C., Oblen, D.O. (1993) Using multisource data in global land cover characterization: concepts, requirements, and methods. Photogrammetric Engineering and Remote Sensing 59: pp. 977-987
- 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.
- 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.
- TJGER/Line Files. The Bureau of the Census (producer and distributor), Washington, D.C.
- Census of the Agriculture, Final county files (machine-readable data file). The Bureau of the Census (producer and distributer), Washington, D.C.
- Congalton, R.G. (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37: pp. 35-46 CrossRef
- Dobson, J.E., Bright, E.A., Ferguson, R.L., Field, D.W., Wood, L.L., Haddad, K.D., Iredale, H., Jensen, J.R., Klemas, V.V., Orth, R.J., Thomas, J.P. (1995) NOAA Coastal Change Analysis Program (CCAP): guidance for regional implementation. U.S. Department of Commerce, Seattle, Washington
- Forman, R.T.T., Godron, M. (1986) Landscape Ecology. John Wiley and Sons, New York, NY
- Homer, C.G., Ramsey, D., Edwards, T.C., Falconer, A. (1997) Landscape cover-type mapping and modeling using a multi-scene Thematic Mapper mosaic. Photogrammetric Engineering and Remote Sensing 63: pp. 59-67
- Kelly, P.M. and White, J.M.: 1993, ‘Preprocessing remotely sensed data for efficient analysis and classification, Knowledge-Based Systems in Aerospace and Industry’, Proceedings of SPIE 1993, 24–30.
- Leahy, P.P., Ryan, B.J., Johnson, A. (1993) An introduction to the U.S. Geological Survey's National Water-Quality Assessment Program. Water Resources Bulletin 29: pp. 529-532
- Loveland, T.R., Merchant, J.W., Ohlen, D.O., Brown, J.F. (1991) Development of a landcover characteristics database for the conterminous U.S.. Photogrammetric Engineering and Remote Sensing 57: pp. 1,453-1,463
- Loveland, T.R., Shaw, D.M. Multiresolution land characterization: building collaborative partnerships. In: Scott, J.M., Tear, T., Davis, F. eds. (1996) Gap Analysis: A Landscape Approach to Biodiversity Planning. National Biological Service, Moscow, ID, pp. 83-89
- A review of the USGS National Water-Quality Assessment Pilot Program. National Academy Press, Washington, D.C.
- Reed, B.C., Loveland, T.R., Steyaert, L.T., Brown, J.F., Merchant, J.W., Ohlen, D.O. Designing global land cover databases to maximize utility. In: Michener, W.K., Brunt, J.W., Stafford, S.G. eds. (1994) Environmental Information Management and Analysis: Ecosystem to Global Scales. Francis and Taylor, London, pp. 299-314
- Riiters, K.H., O'Neill, R.V., Hunsaker, C.T., Wickham, J.D., Yankee, D.H., Timmins, S.P., Jones, K.B., Jackson, B.L. (1995) A factor analysis of landscape pattern and structure metrics. Landscape Ecology 10: pp. 23-39
- Scott, J.M., Tear, T.H., Davis, F.W. eds. (1996) Gap Analysis. A Landscape Approach to Biodiversity Planning. American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland
- Slaymaker, D.M., Jones, K.M.L., Griffin, C.R., Finn, J.T. Mapping deciduous forests in southern New England using aerial videography and hyperclustered multi-temporal Landsat TM imager. In: Scott, J. M., Tear, T., Davis, F. eds. (1996) Gap Analysis: A Landscape Approach to Biodiversity Planning. National Biological Service, Moscow, ID, pp. 87-101
- U.S. Department of Agriculture: 1994, ‘State Soil Geographic (STATSGO) Data Base’, Data Use Information, United States Department of Agriculture Miscellaneous Publication Number 1492.
- Land use and land cover digital data from 1:250,000-and 1:1,000,000-scale maps. Data User's Guide. Department of the Interior, U.S. Geological Survey, Reston, Va
- US GeoData digital elevation models. Data User's Guide. Department of the Interior, U.S. Geological Survey, Reston, Va
- National Wetlands Inventory (NWI) metadata. U.S. Fish and Wildlife Service, National Wetlands Inventory, St. Petersburg, Florida
- Vogelmann, J.E., Seevers, P.M., and Oimoen, M.: 1997a, ‘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, August 20–22, 1996, in press.
- Vogelmann, J.E., Sohl, T., and Howard, S.M.: 1997b, ‘Regional characterization of land cover using multiple sources of data,’ Photogrammetric Engineering and Remote Sensing, in press.
- Regional Land Cover Characterization Using Landsat Thematic Mapper Data and Ancillary Data Sources
Environmental Monitoring and Assessment
Volume 51, Issue 1-2 , pp 415-428
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- 1. Hughes-STX Corporation, USGS, EROS Data Center, Sioux Falls, SD, 57198
- 2. MRLC, U.S. EPA, MD-75A, Research Triangle Park, NC, 27711
- 3. Landscape Characterization, U.S. EPA, MD-75A, Research Triangle Park, NC, 27711