International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B1. Istanbul 2004
t
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Field result Classification
Seed trees No seed trees
Seed trees 35 4
No seed trees 6 93
4.4 National coverage of Sweden with SPOT-5 data
For the summer of 2003, a complete coverage of the forested
parts of Sweden by SPOT-5 multispectral data was ordered,
Because the colour information and especially the SWIR band
was considered to be of higher importance than the higher
resolution of the panchromatic data. Panchromatic data in
addition to the multispectral data were not considered due to the
cost and the doubled demand for satellite capacity needed. For
this reason, the methods developed should be based on the 10 m
multispectral data only.
Approximately 200 multispectral SPOT-5 and SPOT-4 scenes
were delivered. The addition of SPOT-4 data was needed in
order to get a reasonably cloud free coverage. More than 2000
SPOT-5 scenes were acquired, but this was not enough for a
complete coverage. More than 10 scenes had to be acquired for
each scene delivered. It is difficult to get a complete coverage
with SPOT-5 of such a large area as Sweden, with the size of
450 000 km™ in only one vegetation season. This is due to the
cloud coverage in combination with the short vegetation season,
especially in the northern part of the country above 65 degrees
latitude. A satellite system adapted for yearly complete large
area coverage at high latitudes every year must have a higher
repetition rate and a systematic acquisition plan in order to
guarantee this. Technically, this could only be met by sensors
having larger scenes or with several satellites. It is also
mandatory to receive all data possible because of the cloud
coverage.
5. CONCLUSIONS
The SPOT-5 10 m multispectral data and the 5 m and 2.5 m
panchromatic data can be used for several new forestry
applications within the boreal-forested area. Merging methods
for utilising both the high resolution panchromatic and the
multispectral in a combined manner is one way of improving
the methods for change detection and monitoring of
regeneration indicators on recently clear-cut areas. The
delineation of the clear-cut areas can also be improved with
SPOT-5 compared to SPOT-4 and Landsat-7 data.
The need for yearly nationwide cloud-free coverage cannot be
met by SPOT-5 alone. Future systems combining the 10 m
multispectral data, including the very important SWIR band,
with higher repetition rates through larger scenes or several
satellites may meet these needs.
ACKNOWLEDGEMENTS
The SPOT-5 data for this work was made available by CNES
and SpotImage through the SPOT 5 Application Valorization
Program (SAVP). The work was partly funded by the Swedish
National Space Board (SNSB). Reference data and evaluation
support were provided by the Swedish National Board of
Forestry (NBF).
REFERENCES
De Béthune S., Muller F. and Binard M., 1998a. Adaptive
intensity matching filters: a new tool for multi-resolution data
fusion, AGARD conference proceedings 595, Multi-Sensor
Systems and Data Fusion for Telecommunications, Remote
Sensing and Radar, Lisbon-Portugal, pp.28-1--28-15.
De Béthune S., Muller F. and Donnay J.P., 1998b, Fusion of
multispectral and panchromatic images by local mean and
variance matching filtering techniques, Proceedings of the
Second International Conference "Fusion of Earth Data
merging point measurements, raster maps and remotely sensed
images", Thierry Ranchin and Lucien Wald Editors, EARSeL-
SEE-Ecole des Mines de Paris, France, pp.31-36.
Bretschneider, T., Kao, Odej. 2004, Image fusion in remote
sensing, Technical University of Clausthal, Germany,
http://www.ntu.edu.sg/home/astimo/Publications/Documents/O
SEE2000.pdf (Accessed 25 April)
Fritz, R., Frech, L, Koch, B., Ueffing, C., 1999, Sensor fused
images for visual interpretation of forest stand borders
International Archives of Photogrammetry and Remote Sensing,
(32) 7-4-3
Hill, J., Diemer, C., Stover, O., Udelhoven, Th., 1999. A local
correlation approach for the fusion of remote sensing data with
different spatial resolutions in forestry applications,
International Archives of Photogrammetry and Remote Sensing,
(32) 7-4-3
Liu, J. G., 2000. Smoothing Filter-based Intensity Modulation:
a spectral preserve image fusion technique for improving spatial
details, Int. J. Remote Sensing,, (21)18, pp. 3461-3472.
Netzband, M., Meinel, G. and Lippold, R. 1998. Classification
of settlement’ structures using morphological and spectral
features in fused high resolution satellite images( IRS-1C),
International Archives of Photogrammetry and Remote Sensing,
(32) 7-4-3
Pohl, C. 1999, Tools and methods for fusion of images of
different spatial resolution, International Archives of
Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6,
Valladolid, Spain.
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