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Poster Sessions
  • Session 1
  • Session 2
  • Session 3
  • Session 4
  • Session 5
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  • ACRS 1999


    Poster Session 4
    Landsat -5 Tm Data Analysis and Slope Mapping by GIS and Computer Technique, Showing Topographic Gradient of Li and Thung Hua Chang Districts, Lamphun Province, Thailand

    3. Study areas
    Li and Thung Hua Change Districts of Lamphun Province are in northern Thailand between latitudes 17o 25 00''N - 18o 15 00'' N and longitude 98o 40 00'' E - 99o 15 00'' E with 2,250.18 Sq.kms. total area combined. Meteorological data collected within 30 years span has been indicted that their annual average temperature is 26.1oC, relative humidity is 71.4% and the average amount of precipitation is 980.7 mm. yearly. These data are closely related with the appearance of natural forest covers.

    4. Material and data sources
    The study employs
    4.1. Topographic map of 1:50,000 and 1 : 250,000 scales.

    4.2. Landsat -5 TM imageries of 1:250,000 scale (FCC) dated 21 February 1995 and 11 January 1995.

    4.3 spatial data of Li and Thung Hua Chang Districts obtained from the digitizer with contour lines, spot height, political boundary, roads, rivers and villages.

    4.4 Forest types map which interpreted from aerial photographs .

    4.5 Field data obtained from ground check.

    5. Procedures

    5.1 Hardware and software
    Hardware :
    • micro - computer with operating system OS/w warp version 3.0 window 95
    • memory 128 MB
    • Hard Disk 2 GB
    • CD - Rom Drive
    • Floppy Disk Drive Internal 1.44 MB
    • Colour monitor 15"
    Peripherals :
    • HP design Jet 750 C plus printer
    • Calcom Drawing Broad III, 16 Bottom, Cursor - Corded.
    • Powerback UPS. etc
    Software:
    The package software "SPANS" (Spatial Analysis System) version 6.0 produced by the PCI Economics Group, Canada.

    5.2 Methodology

    5.2.1 Field Data Collection

    Before analysis, classification and overlaying techniques, field data of the study area have been collected by random sampling method, ground checking data of existing forest and land - use pattern have been use to be at a spot checking step during classification.

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