Abstract This study describes a procedure to determine rain rates using INSAT visible and infrared data by means of statistical methods. Satellite rain estimation techniques are more sensitive to spatial degradation than to temporal degradation. In the present study, visible and infrared samples selected from the VHRR images are used in the training process to achieve good spatial correspondence between satellite and ground estimates. Brightness features which are providing the best separability among the selected rainrate categories are extracted from the images. By locating all the 560 rain gauge stations maintained by the India Meteorological Department (IMD), the maximum likelihood decision rule was employed to classify the 8 km × 8 km window centered at a rain gauge station into one of the four selected rainfall rate categories. The training process used the rainfall data obtained from IMD daily weather reports for verification. The INSAT data for sample dates, representing different seasons has been used for the study. Classification accuracy, defined as the percentage of samples correctly classified out of all the samples in the selected class, was found to be above 80%.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Rain-rate classification of INSAT—VHRR images through statistical methods


    Contributors:

    Published in:

    Advances in Space Research ; 13 , 5 ; 143-148


    Publication date :

    1993-01-01


    Size :

    6 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    INSAT-2 Spacecraft Platform Stability Estimation using VHRR Images on A PC-based Isrovision System

    Padmanabhan, K. / Rajagopal, C. | British Library Online Contents | 1995


    The Japan Sea Dynamics Inferred from NOAA A VHRR Infrared Images

    Ostrovskii, A. | British Library Conference Proceedings | 1994


    Insat communication system

    NAYAK, U. / MATAPURKAR, K. | AIAA | 1982