Segregation of soilscapes using statistics in remote sensing

  • K. V. Seshagiri Rao
  • S. J. Kristof
  • B. S. Lole


The use of remotely sensed data in the form of vertical aerial photographs has been in practice since several decades. Launching of Landsat satellites and their capability together multispectral scanner data afforded soil scientists enhanced capability for mapping soils. Technological advances in computer processing of Landsat MSS data coupled with ancillary information provided added advantages.

Still difficulties exist in identifying the interference to vegetation and in segregation of narrowly defined soilscapes. Utility of statistical data, obtainable from computer analysis, and an aid in understanding the reflectance characteristics of various types of vegetation and soilscapes has been discussed in this paper. The final output obtained by computer processing compared with existing soil maps of the area registered more future prospects for utilisation of statistics in segregation of soilscapes and vegetation.


Landsat Spectral Reflectance Vegetation Class Landsat Imagery Field Check 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Indian Society of Remote Sensing 1983

Authors and Affiliations

  • K. V. Seshagiri Rao
    • 1
  • S. J. Kristof
    • 2
  • B. S. Lole
    • 3
  1. 1.AIS&LUSHyderabad
  2. 2.Scientist LARSPurdue UniversityUSA
  3. 3.AIS & LUSAhmedabad

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