Supervised classification approach for assessment of forest resources in part of u.p. plains, india using landsat-3 data

  • T. S. Kachhwaha


Forests in the plains of Uttar Pradesh are depleted to great extent. Existing figures on the area under forest, though contradictory, indicate a grim situation of forest cover. In the present study, supervised classification technique with maximum likelihood algorithum has been used to assess the forest in the region extending between Lucknow through Allahabad to Mirzapur city in the plains of Uttar Pradesh. It has been possible to successfully identify and map 5 different categories of forests by computer processing of Landsat-3 Multispectral Scanner data. The area under each category has also been computed. Whatever little forest exists in this area is also greatly influenced by biotic interferences. The vegetation formation in these forests is thus degraded and/or secondary. Spectral behaviour of various categories of forests have also been discussed.


Forest Class Crown Density National Remote Sensing Agency Pongamia Pinnata Common Plant Species 
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Copyright information

© Springer 1990

Authors and Affiliations

  • T. S. Kachhwaha
    • 1
  1. 1.Remote Sensing Applications CentreUP Lucknow

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