735
centre
le classe-
Bnt^ et de
/s^emes^ de
resentees
sement
radiometric responses (Shlien and Goodenough 1974), which results
in striped imagery and is a serious source of error for automated
classification. The detector outputs, which are encoded to six bits,
are corrected for radiometric errors at the Canada Centre for Remote
Sensing (CCRS), Department of Energy, Mines, and Resources, using
the method of Strome and Vishnubhatla (19 73) . The maximum radiances
hrieben,
si der Ent-
che Klass-
rzielt
da Centre
bilder von
Informat-
aten. Der
Is achtzehn
em Wert,
die Ergeb-
Landnut-
Klasse den
der anfallen-
s die
inhalts-
for each band required to produce full scale output are given in
Table I. An average scan line consists of 3200 samples or pixels
with a ground resolution per pixel of approximately 100 meters.
The image data are grouped into frames. Each frame consists of
2400 scan lines and represents a ground area of 185 km by 185 km.
The Canada Centre for Remote Sensing receives 80 frames or
1.5 x lO^-O bits of MSS data each day at the Prince Albert Satellite
Station (PASS). The output products available to Canadian investi
gators are: (a) quick-look microfiche copies of band 6 for every
orbit; (b) 70 mm black and white film strips of all four bands;
(c) 9.5 inch B & W film transparencies of each band; (d) 9.5 inch
B & W paper prints of each band; (e) 9.5 inch film and/or prints
in color composed of bands 4, 5, 6 or 4, 5, 7; (f) computer com
patible tapes (CCT). The film and print products are produced in
Canada by the National Air Photo Library (NAPL). Each of these
output products can be used to classify the land. Large areas how
ever, are less expensively analyzed by automated methods. One
important consideration before carrying out a classification is to
have a classification system compatible with the multispectral data.
In the next section we discuss constraints on land use classification
with remotely sensed data and review recent Canadian activities.
beiten
ur die uber-
nzentriert.
en Arbeiten
fur die
Problems
TABLE I
MSS SPECTRAL BANDS
BAND BAND PASS MAXIMUM RADIANCE (mW cm“ 2 ster" 1 )
Band 4 0.5-0.6 pm 2.48
Band 5 0.6-0.7 pm 2.00
TS-1)
a circular,
autical
ers the
evisits
tially
Band 6 0.7-0.8 pm 1.76
Band 7 0.8-1.1 pm 4.60
LAND USE CLASSIFICATION
The development of land use classification schemes has
adian
This
n
anned
ep. The
gh 6 use
hotodiodes.
unequal
received considerable attention in the past decade (Clawson 1965),
with recent attention in the United States (Anderson 1971, Anderson
et al 1972) and Canada (Ryerson 1973) on land use classification
using remote sensing.
