메뉴 건너뛰기




Volumn , Issue , 2008, Pages 193-202

Landsat spectral data for digital soil mapping

Author keywords

[No Author keywords available]

Indexed keywords


EID: 77649125466     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4020-8592-5_16     Document Type: Chapter
Times cited : (135)

References (17)
  • 1
    • 77956738203 scopus 로고    scopus 로고
    • Department of the Interior, Bureau of Land Management, National Science and Technology Center, Denver, CO
    • Amen, A. and Blaszczynski, J. 2001. Integrated Landscape Analysis. U. S. Department of the Interior, Bureau of Land Management, National Science and Technology Center, Denver, CO, pp. 2-20.
    • (2001) Integrated Landscape Analysis. U. S , pp. 2-20
    • Amen, A.1    Blaszczynski, J.2
  • 2
    • 77956779045 scopus 로고    scopus 로고
    • A pedogenic understanding raster classification methodology for mapping soils, Powder River Basin, Wyoming, USA
    • P. Lagacherie, A. B. McBratney and M. Voltz eds., Developments in Soil Science, Elsevier, Amsterdam
    • Cole, N. J., and Boettinger, J. L. 2007. A pedogenic understanding raster classification methodology for mapping soils, Powder River Basin, Wyoming, USA. In: P. Lagacherie, A. B. McBratney and M. Voltz (eds.), Digital Soil Mapping: An introductory perspective. Developments in Soil Science Vol. 31, Elsevier, Amsterdam, pp. 377-388.
    • (2007) Digital Soil Mapping: An Introductory Perspective , vol.31 , pp. 377-388
    • Cole, N.J.1    Boettinger, J.L.2
  • 6
    • 77956739551 scopus 로고    scopus 로고
    • Land cover classification from Landsat imagery for mapping dynamic wet and saline soils
    • P. Lagacherie, A. B. McBratney, and M. Voltz eds., Elsevier, Amsterdam
    • Kienast-Brown, S. and Boettinger, J. L. 2007. Land cover classification from Landsat imagery for mapping dynamic wet and saline soils. In: P. Lagacherie, A. B. McBratney, and M. Voltz (eds.), Digital Soil Mapping: An introductory perspective. Developments in Soil Science Vol. 31, Elsevier, Amsterdam, pp. 235-244.
    • (2007) Digital Soil Mapping: An Introductory Perspective. Developments in Soil Science , vol.31 , pp. 235-244
    • Kienast-Brown, S.1    Boettinger, J.L.2
  • 7
    • 84895405122 scopus 로고    scopus 로고
    • Leica Geosystems, Atlanta, GA
    • tLeica Geosystems. 2003. ERDAS Imagine V8.6. Leica Geosystems, Atlanta, GA
    • (2003) ERDAS Imagine V8.6
  • 8
    • 21244479854 scopus 로고    scopus 로고
    • Leica Geosystems, Leica Geosystems, Norcross, GA
    • Leica Geosystems. 2005. ERDAS Field Guide. Leica Geosystems, Norcross, GA.
    • (2005) ERDAS Field Guide
  • 11
    • 57749183177 scopus 로고    scopus 로고
    • NASA National Aeronautics and Space Administration, last verified 4 July 2007
    • NASA (National Aeronautics and Space Administration). 2006. The Landsat program. http://landsat.gsfc.nasa.gov/about/(last verified 4 July 2007).
    • (2006) The Landsat Program
  • 14
    • 77956716925 scopus 로고    scopus 로고
    • Incorporating classification trees into a pedogenic understanding raster classification methodology, Green River Basin, Wyoming, USA
    • P. Lagacherie, A. B. McBratney, and M. Voltz eds., Elsevier, Amsterdam
    • Saunders, A. M. and Boettinger, J. L. 2007. Incorporating classification trees into a pedogenic understanding raster classification methodology, Green River Basin, Wyoming, USA. In: P. Lagacherie, A. B. McBratney, and M. Voltz (eds.), Digital Soil Mapping: An introductory perspective. Developments in Soil Science Vol. 31, Elsevier, Amsterdam, pp. 389-399.
    • (2007) Digital Soil Mapping: An Introductory Perspective. Developments in Soil Science , vol.31 , pp. 389-399
    • Saunders, A.M.1    Boettinger, J.L.2
  • 15
    • 0003942921 scopus 로고
    • Soil Survey Division Staff, United States Department of Agriculture, Washington, D. C
    • Soil Survey Division Staff, 1993. Soil Survey Manual. United States Department of Agriculture, Washington, D. C.
    • (1993) Soil Survey Manual
  • 16
    • 84895235750 scopus 로고    scopus 로고
    • last verified 4 July 2007
    • USGS (United States Geological Survey). 2006. The Landsat Project Website. (http://landsat.usgs.gov/index.php) (last verified 4 July 2007).
    • (2006) The Landsat Project Website
  • 17


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.