814
Figure 2. One section of the swath of the 36° SIR-B
data take, over part of Sydney with forest and
natural waterways to the north west. The swath width
is approximately 20 km with the incident radiation
being from the left of the image.
120
BAND7
F = FOREST
R = RESIDENTIAL
S = SOIL
I = INDUSTRIAL
COMMERCIAL
120 •
43 ^
80
40 ■
BAND5
40 80 120 160
S
0
Figure 3. Scattergram of Landsat Bands 7 versus 5
for various urban surfaces. Mean response values
of forest (F), mature residential (R), soil (S),
and intense urban (I) (commercial and industrial),
are shown with an ellipse representing two standard
deviations (derived from 20 values).
Figure 5.
43° versu
mature re
(commerci
resident!
ing two s
BAND
120 •
80
Figure 4. Illustration of the potential changes in
backscatter and backscatter geometry with incident
angle, for various idealised urban surfaces; residen
tial, industrial and cleared development site.
0
Figure 6.
(SIR-B) i
Forest (F
urban (I)
aligned r
presentin
due to the inherent difference in the imaged response.
Neverthless the Landsat data was resampled to 25 m
pixels using a cubic convolution procedure and regis
tered to the 36° incident angle data with a standard
error of the estimate of approximately 60 metres.
3. COMBINED MULTISPECTRAL RESPONSE
Landsat data acquired over urban areas typically
give a similar multispectral response for areas
recently cleared for development (particularly when
soil colours are light) and areas that are heavily
urbanised (typically industrial and commercial land
use). Classification of these areas as similar cover
types is a gross error, that leads to log^c.al in
consistencies when monitoring change over a period
of time. A scattergram of these two cover types is
shown in figure 3 (Landsat band 5 versus 7)
to illustrate the problem. It was considered that
the respo
could dis
differing
corner re
in backsc
in figure
The scatt
shown in
6, for cl
Similar
when atte
areas, th
mature ve
a predomi
and under
Because t
a reasons
an increa
the trees
these con
ponse fro
scattergr
used in t
scale as