• DocumentCode
    1485166
  • Title

    Spatial characterization of remotely sensed soil moisture data using self organizing feature maps

  • Author

    Kothari, Ravi ; Islam, Shafiqul

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
  • Volume
    37
  • Issue
    2
  • fYear
    1999
  • fDate
    3/1/1999 12:00:00 AM
  • Firstpage
    1162
  • Lastpage
    1165
  • Abstract
    Compact characterization of soil moisture at a given scale using self-organizing feature maps is presented. The authors find that as few as 49 neurons capture the spatial structure of remotely sensed soil moisture images from the southern Great Plains. Average latent heat flux computed from the original image of 21204 pixels and from 49 neurons are comparable
  • Keywords
    geophysical signal processing; geophysics computing; hydrological techniques; hydrology; moisture measurement; remote sensing; self-organising feature maps; soil; Great Plains; USA; United States; data compression; hydrology; image processing; measurement technique; neural net; neural network; remote sensing; self organizing feature map; soil moisture; spatial characterization; spatial structure; Distributed computing; Geoscience; Land surface; Large-scale systems; Neurons; Pixel; Remote sensing; Self organizing feature maps; Soil moisture; Spatial resolution;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.752234
  • Filename
    752234
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1485166