island we have used maximum likelihood classification
method. We calculated the statistic values of digital count
number for the thermal image corresponding to each class.
3.1 Image Classification
We used maximum likelihood classification method in
classifying the Landsat satellite image of the subject area
Urmgqi shown in Figure 1 and divided it into 9classes as of
urban area, water body, forest, soil, bare groundl, bare
ground2, vegetationl, vegetation2 and vegetation3 shown in
Figure 2. Mask images were created from the classified
image in order to calculate some statistical values. Mean
value and standard deviation (S.D.) were calculated for the
masked image. The obtained result is shown in Table 1.
Median and interquartile range were also calculated. The
obtained result is shown in Table 2.
Urban
Bas
Water body | ;
| ima,
Bare ground 1 | has
Bare ground 2 than
Soil
Forest
Vegetation 1
Vegetation 2
Vegetation 3
Un : men = Figure 2 Classified image for target area.
Figure 1 Landsat ETM image for Urmgi.