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DATE: - - 21MAYT9
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$ Magnif.=2 4
START= (128, 100)
END =(383, 299)
Fig. 5 Water Boundary Extraction
2) False Color
Trainees are required to select band combination and gradation to
show the various pattern of the remotely sensed data imagery.
Trainees has to compare his product with the fine imagery
prepared by ENDIPS-T.
3) Multi-spectral Classification
Based on the multi-spectral characteristics of the remotely
sensed data, trainees perform the land cover classification using
the remotely sensed data.
a) Training area selection
By using the false color produced by the trainee, he has to
select training area of specified items for classification
(see Fig.6). The items include urban area, residential area,
woods, glass, bare soil and water.
Urban area
IMAGE LORD
NE ES
ata
BI THER i
PARTIE VAE
Water
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