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  • ACRS 1989


    Education and Training
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    Some results of using Photographic Processing Facilities and Techniques for Landuses study in Vietnam

    Pham Trung Luong
    Division for Application of Remote Sensing,
    Center of Geography and Natural Resources of NCSR of Vietnam


    Introduction
    Landuse is most dynamic phenomina according of human and natural activities. That is why the investigation and study of land use pattern and detection it’s change need not only for scientific purpose, also very important for economic planning and for environment. The Remote Sensing data was being used in Vietnam for land use study from 1980 and since that time we have obtained some perspective results, which permits us to overcome the limitations of traditional method.

    In order to improve interpretation quality of Remote Sensing photo/imageries, we must study and use some photographic facilities and technique.

    These will be discussed in this paper with the results of using photographic facilities and techniques with different kind of Remote Sensing photo / imageries for Land use study in Vietnam.

    The Main Results

    The choice of information combination

    Due to dencity of natural objects on photo / imageries ahs correlation with brightness coefficient.

    (D – Co)/C
    R = 10       /1/
    Where : R = brightness coefficient
    D : Density
    Co, c : Contract for concrete photo / image
    So we can choose channels or combination of channels which have information of interested objects through contracts brightness coefficient.


    Where : Ri (l) : brightness coefficient of interested objects
    Rs (l): brightness coefficient of surrounding objects

    Data of brightness coefficient of main natural objects of Vietnam we can have from / 3/

    This techniques had tested for multispectral photo MKF-6 to establish land use map of Tea Farm Minh Rong at scale 1/10,000 /4/

    In this case, based data on maximum contract brightness coefficients in 6 channels. /1/

    K1 = 480nm  K3 = 6600nm  K5 = 720nm
    K2 = 540nm  K4 = 660nm  k6 = 840 nm

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