![[logo] US EPA](http://www.epa.gov/epafiles/images/logo_epaseal.gif){kind=logo}
MRLC Mapping/Methods Publications
Journal Article and Article Abstract links are provided for convenience. Subscriptions may be needed to read the full document online.
Huang C, Homer C, and Yang L. 2003. Regional forest land cover characterization using Landsat type data. In Wulder M. and Franklin S. (Eds.) Methods and Applications for Remote Sensing of Forests: Concepts and Case Studies. pp. 389-410. Kluwer Academic Publishers, The Netherlands.
Huang C, Wylie B, Homer C, Yang L, and Zylstra G. 2002. Derivation of a Tasseled Cap Transformation Based on Landsat 7 At-Satellite Reflectance. International Journal of Remote Sensing 8:1741-1748. Journal Article. 
Yang L, Huang C, Homer C, Wylie B, and Coan M. 2003. An approach for mapping large-area impervious surfaces: synergistic use of Landsat 7 ETM+ and high spatial resolution imagery. Canadian Journal of Remote Sensing 29:230-240.
Article Abstract
Yang L, Xian G, Klaver J, and Deal B. 2003. Urban land-cover change detection through sub-pixel impervious surface mapping using remotely sensed data. Photogrammetric Engineering and Remote Sensing 69:1003-1010.
Article Abstract.
Vogelmann JE, Howard SM, Yang L, Larson CR, Wylie BK and Van Driel N. 2001. Completion of the 1990s National Land Cover Data Set for the Conterminous United States from Landsat Thematic Mapper Data and Ancillary Data Sources. Photogrammetric Engineering and Remote Sensing 67:650-662.
Highlight Article
Riitters KH, Wickham JD, Vogelmann JE, and Jones KB. 2000. National land-cover pattern data. Ecology 81:604 and Ecological Archives [www.esapubs.org/archive/ecol/E081/004]. Article Abstract
Vogelmann JE, Sohl T, Howard SM, and Shaw DM. 1998. Regional land cover characterization using Landsat Thematic Mapper data and ancillary data sources. Environmental Monitoring and Assessment 51:415-428. Article Abstract
Vogelmann JE, Sohl T, and Howard SM. 1998. Regional characterization of land cover using multiple sources of data. Photogrammetric Engineering and Remote Sensing 64:45-57. Article Abstract