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Browsing 18-Jal Vigyan Sameeksha Vol.-13(1-2)-1998 by Title

Browsing 18-Jal Vigyan Sameeksha Vol.-13(1-2)-1998 by Title

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  • 1-Water Balance Study and Conjuctive Water Use Planning in Irrigation Canal Command Area - A Remote Sensing Perspective. 
    Rao, V. Venkateshwar; Chakraborti, A. K. (National Institute of Hydrology, 1998)
    Water budgeting of the D-36 and D-36A distributaries confined between Peddavagu, Korutla Vagu and Kakatiya main canal of SriRam Sagar Project Command area was conducted using remote sensing derived crop areas, landuse/landcover, ...
  • 2-Mapping of Waterlogged Area by Remote Sensing Techniques. 
    Choubey, V. K. (National Institute of Hydrology, 1998)
    Waterlogging Is becoming a serious problem in irrigated command area of India; the study area is SriRam Sagar command, which is about 120 km north of Hyderabad. An attempt has been made to make an assessment of waterlogged ...
  • 3-Remote Sensing in Urban Hydrology. 
    Jain, Sharad K.; Mishra, S. K.; Ramasastri, K. S. (National Institute of Hydrology, 1998)
    The use of remote sensing in studies related to urban hydrology has been widely recognized since the inception of these techniques, particularly in the last two decades, which have seen tremendous urbanization globally. ...
  • 4-Remote Sensing Applications for Groundwater Targeting. 
    Iqbaluddin (National Institute of Hydrology, 1998)
    The growing demand on the fresh water resources has made it imperative to optimally use the groundwater, which in the Indian context is approximately 40% of the total fresh water resources of the country. This requires ...
  • 5-Comparison of IRS and LANDSAT Digital Data for Wetland Studies. 
    Chauhan, H. B.; Nayak, Shailesh (National Institute of Hydrology, 1998)
    IRS LISS-II and LANDSAT TM data of Gulf of Kachchh area of the same date (May 4, 1988) was used to evaluate LISS-11 data in comparison with TM data for wetland studies. This was done by (1) comparing radiance values of ...
  • 6-An Artificial Neural Network Approach for Land Cover Classification. 
    Mohanty, K. K. (National Institute of Hydrology, 1998)
    This paper presents a preliminary study on usage of Artificial Neural Network (ANN) for land cover classification using multispectral remotely sensed data. The ANN model used is a simple multi-layer perceptron trained ...
  • 7-Automated Change Detection Using Multidate Satellite Data for Forestry Applications. 
    Ramadevi, D.; Muralikrishnan, S.; Arokiadas, R. J.; Dutt, C. B. S.; Kumar, S. Santosh (National Institute of Hydrology, 1998)
    Change detection through remote sensing is process for determining and evaluating differences in a variety of surface phenomena over time. Detecting, describing and understanding changes in the physical and biological ...
  • 8-Concept and Basics of an Information Technology - The Geographic Information System. 
    Singh, Trilochan (National Institute of Hydrology, 1998)
    The information technology has developed manifolds, especially in last one decade. The base of any information technology depends largely upon the information inputs in form of a database and its suitable use. Large data ...
  • Contents 
    National Institute of Hydrology (National Institute of Hydrology, 1998)

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