• DocumentCode
    3062936
  • Title

    Creating an historical land cover data set for the Wimmera region, Victoria, Australia from the USGS Landsat archive

  • Author

    Sheffield, Kathryn ; Morse-McNabb, Elizabeth M.

  • Author_Institution
    Future Farming Syst. Res. Div., Dept. of Environ. & Primary Ind., Carlton, VIC, Australia
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2649
  • Lastpage
    2652
  • Abstract
    The availability of the USGS Landsat archive, which spans nearly 40 years, has presented many opportunities for land cover mapping [1]. This study aimed to develop an approach using the USGS Landsat archive to produce land cover maps which could be used to assess changes in land cover over time. The study area was located in the Wimmera region of north-western Victoria, Australia. Initially, Normalized Vegetation Difference Index (NDVI) was used to generate coarse land cover maps of water, bare ground and low and high vegetation cover. These classes were refined using a Multiple Endmember Spectral Mixing Analysis (MESMA) approach. The production of this baseline data now presents opportunities for further investigation of land management, land cover changes and trends, and links to other biophysical data such as soil characteristics.
  • Keywords
    land cover; vegetation; Australia; MESMA approach; Multiple Endmember Spectral Mixing Analysis; NDVI; Normalized Vegetation Difference Index; USGS Landsat archive; Wimmera region; biophysical data; historical land cover data set; land cover changes; land cover maps; land management investigation; north-western Victoria; soil characteristics; vegetation cover; Agriculture; Australia; Earth; Remote sensing; Satellites; Soil; Vegetation mapping; agriculture; image classification; multispectral imaging; remote sensing; vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723367
  • Filename
    6723367