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Digital image processing of Remote Sensing data for water quality studies

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Abstract

Remotely sensed data has been found useful in various aspects of hydrology like sedimentation, water quality watershed management, flood and drought monitoring, ground water resources evaluation etc. With the fast development of computer applications to image processing and availability of low cost image processing systems, digital image processing methods supplemented by visual interp etation aids will be useful for effective utilization of Remote Sensing data. Application of various digital image processing along with using a low cost image processing system for detailed study of water quality parameters is discussed. Studies have been conducted in a sample revervoir to obtain suitable digital image processing techniques for achieving better visual separability within the reservoir water. An overview of semiquantification of sediment concentration in the reservoir water using computer aided processing methods is presented in this paper.

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Authors and Affiliations

  1. Indian Institute of Remote Sensing (NRSA), Dehradun

    S. Jonna & K. V. S. Badarinath

  2. Advanced Data processing Research Institute (ADRIN), Hyderabad

    J. Saibaba

Authors
  1. S. Jonna
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  2. K. V. S. Badarinath
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  3. J. Saibaba
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Jonna, S., Badarinath, K.V.S. & Saibaba, J. Digital image processing of Remote Sensing data for water quality studies. J Indian Soc Remote Sens 17, 59–64 (1989). https://doi.org/10.1007/BF02991911

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  • DOI: https://doi.org/10.1007/BF02991911

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