National Land Cover Database 2001 (NLCD 2001) is a 16-class (additional four classes in Alaska only) land cover classification scheme that has been applied consistently across all 50 United States and Puerto Rico at a spatial resolution of 30 meters. NLCD 2001 is based primarily on a decision-tree classification of circa 2001 Landsat satellite data. NLCD 2001 improves on NLCD92 in that it is comprised of three different elements: land cover, percent developed impervious surface and percent tree canopy density.
Preferred NLCD 2001 citation: Homer, C., Dewitz, J., Fry, J., Coan, M., Hossain, N., Larson, C., Herold, N., McKerrow, A., VanDriel, J.N., and Wickham, J. 2007. Completion of the 2001 National Land Cover Database for the Conterminous United States. Photogrammetric Engineering and Remote Sensing, Vol. 73, No. 4, pp 337-341.
Related Publications for NLCD 2001
Selkowitz D.J., Stehman S.V., 2011. Thematic accuracy of the National Land Cover Database (NLCD) 2001 land cover for Alaska. Remote Sensing of Environment, 115 (6), pp. 1401-1407.
Selkowitz D.J., 2010. A comparison of multi-spectral, multi-angular, and multi-temporal remote sensing datasets for fractional shrub canopy mapping in Arctic Alaska. Remote Sensing of Environment, 114 (7), pp. 1338-1352.
Chander, G., Huang, C., Yang, L., Homer, C.G., and Larson, C., 2009. Developing consistent Landsat data sets for large area applications�the MRLC 2001 Protocol. IEEE Geoscience and Remote Sensing Letters, v. 6, no. 4, p. 777-781.
Homer, C. G., and Gallant, A. 2001. Partitioning the Conterminous United States into Mapping Zones for Landsat TM Land Cover Mapping, USGS Draft White Paper.
Homer, C., Huang, C., Yang, L., Wylie, B., and Coan, M. 2004. Development of a 2001 National Landcover Database for the United States. Photogrammetric Engineering and Remote Sensing, Vol. 70, No. 7, July 2004, pp. 829-840.
Homer, C. G., Huang, C., Yang, L., and Wylie, B. 2002. Development of a Circa 2000 Landcover Database for the United States. ASPRS Proceedings, April, 2002. Washington D.C.
Huang, C., Yang, L., Homer, C., Coan, M., Rykhus, R., Zhang, Z., Wylie, B., Hegge, K., Zhu, Z., Lister, A., Hoppus, M., Tymcio, R., DeBlander, L., Cooke, W., McRoberts, R., Wendt, D., and Weyermann, D. 2001. Synergistic Use of FIA Plot Data and Landsat 7 ETM+ Images for Large Area Forest Mapping. USGS White Paper.
Huang, C., Yang, L., Wylie, B., and Homer, C. 2001. A Strategy for Estimating Tree Canopy Density Using Landsat & ETM+ and High Resolution Images over Large Areas, The proceedings of the Third International Conference on Geospatial Information in Agriculture and Forestry held in Denver, Colorado, 5-7 November, 2001, 1 disk.
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, v. 23, no. 8, p. 1741-1748.
Huang, C., Zhang, Z., Yang, L., Wylie, B., and Homer, C. 2002. MRLC 2001 Image Preprocessing Procedure, USGS White Paper.
Riitters, K.H., Wickham, J.D., Vogelmann, J.E., and K.B. Jones. 2000. National land-cover pattern data. Ecology 81:604-604.
Wickham, J. D., S. V. Stehman, J. A. Fry, J. H. Smith, and C. G. Homer. 2010. Thematic accuracy of the NLCD 2001 land cover for the conterminous United States. Remote Sensing of Environment 114 (6):1286-1296.
Yang, L., Homer, C., Hegge, K., Huang, C., Wylie, B., and Reed, B. 2001. A Landsat 7 Scene Selection Strategy for a National Land Cover Database. Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium, Sydney, Australia, CD-ROM, 1 Disc.
Yang, L., Xian, G., Klaver, J., Deal, B. 2002. Urban Land-Cover Change Detection through Sub-Pixel Imperviousness Mapping Using Remotely Sensed Data. Photogrammetric Engineering & Remote Sensing Vol. 69, No. 9, pp. 1003-1010.
Yang, L., Huang, C., Homer, C., Wylie, B., and M. Coan. 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, Vol. 29, No. 2, pp.230-240.
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