You are using an outdated browser that does not fully support the intranda viewer.
As a result, some pages may not be displayed correctly.

We recommend you use one of the following browsers:

Full text

Remote sensing for resources development and environmental management
Damen, M. C. J.

lg the approaches to
iication in GIPS/ALP.
dcentre is identified
fieldcentre pixel is
. By comparing this
ith that originally
he change, if any,
etected. The acreage
:udy area is derived
ata instead of the
y at the GIS accuracy
The results of the previous three parts are
the inputs to the particular classifier to classify
the cover type of each unknown pixel. And, the
subsequent results of the newly derived land
cover data can be used to update the archival
land cover file in the GIS.
This approach can dramatically reduce the data
volume which has to be handled when spatial
resolution is increased because the number of
pixels of each crop field to be processed can
be kept constant and the total number of fields
for a defined size of area will remain unchanged
in a certain period of time. The updating of
polygon data file is not required so often as
that of the content inside the polygon area.
The classification accuracy will be considerably
improved due to the purity of the pixel chosen
and the high accessibility of ancillary data
available in GIS. The field check strategy modified
by this system can contribute the general accuracy,
The geometric accuracy will be as good as that
in the GIS which is claimed to be considerably
higher than that can be derived from the most
sophisticately corrected images because all the
statistics related to geometry are estimated
on basis of the data in geographic information
Identified Change
New Cover Condition
Cl N (no ch)
C2 C (chngd)
id truth verification
be directed to those
.xels or are detected
.on can be accurately
ated map, on which
larked automatically
include (i) statistic
s, and (iii) images,
1 both the geographic
ensing system.
strati the specific
GIPS/ALP. A brief
eographic information
system are the two
iLP. The geographic
handling the fully
note sensing system,
e spatial data.
tasks are involved,
.ds with known land
>es were taken, (ii)
¡ponding the fields
p, (iii) extracting
modifying the image
aining statistics
ification algorithm,
istribution of each
n be estimated from
which a value stands
re derived from RSS
Both geographic information
sensing system are effective
spatial data. GIPS/ALP takes
special features to resolve
image processing which have
They are the data volume, classification accuracy
and geometric accuracy.
system and remote
tools for handling
advantage of their
the bottlenecks in
existed for years.
Allan, J.A. 1984. The role and future of remote
sensing. In proceedings of the 10th Anniversary
International Conference on Remote Sensing.
Remote Sensing Society, UK. p.23 30.
Anderson, J.R., E.E. Hardy, J.T. Roach & R.E.
Witmer 1976. A land use and land cover
classification system for use with remote sensor
data. Geological Survey Professional Paper
964, USGS. 28p.
Marble, D.F. & D.J. Peuquet 1983. Geographic
information systems and remote sensing. In
R.N. Cowell (ed.) Manual of remote sensing,
vol.I, p.923 958.
Tseng, W.T. & Q.C. Sung 1978. The evaluation
of computer generated land use/land cover maps
and the study of spectral characteristics of
land covers. MRSO repot 088. Mining Research
& Service Organization, ITRI. 39p.