IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring", Hyderabad, India,2002
interaction with the hydraulic engineering group in order to en-
sure the usability of the results.
The generated DEM contains 22 of the 28 GCPs used in the
area. For these 22 GCPs, the standard deviation in elevation
computes to 3.70 m.
uS
Figure 9. 3-D landscape model generated using TOPOGRID
Still the generated DEM didn't suit all the needs for the
hydrological computations. The calculations of the hydrological
project group showed some water flows inside the polder areas.
This should not occur, but couldn't be avoided. As a work-
around an artificial “wall” was build into the DEM. Around all
polder polygons the DEM was rised at least 2m to avoid any
further inflow into the polder areas.
Figure 10. 50m DEM without (left) and with (right) walls at
polder boundary
4. OUTLOOK
With just a few steps taken it isn’t possible to say: “Going the
SILUP way leads to a sustainable developrnent.” A long way
lies ahead. The next goals will be to finalise the operational
concept of the FCM. This should include: feed-back mecha-
nisms, impact analysis and dynamical functions. Especially
adding time, as an important factor in the sustainability analy-
sis, will be most important.
Making the system more useable it will be important to add
automatic methods for classifying high-resolution remote sens-
ing data. The high quality of the already existing data will be
useful for further work in the area. The data can be used for up-
dating the spatial database with new procedures similar to the
work of Walter et al (1998) in combination with the automated
image to map registration approach presented by Hild (2001).
Further methods have to be developed and implemented. The
now available high-resolution satellites like QuickBird-2 will
deliver new data. The combination of high- and mid-resolution
data requires new methods of classification. The biggest chance
of classifying these combined data lies on hierarchically
structured classification methods. But using these high-resolu-
tion datasets also make the extraction of linear objects more
interesting. Using QuickBird-2 data, the automated extraction
of roads and railroads seems possible, especially when having a
good data source of the road and railroads in the area which
only needs to be updated.
Special regards lies on methods of fusing different data sources
and sensor types. Theses methods will needed to be further
developed and improved. The combination of different types of
sensors will lead to new types of information, especially for
ecological applications. To predict effects and side-effects of
different land-use plans, a whole range of information is
needed. With the combined sensor data this information may be
delivered just in time to meet the needs of the land-use planers,
helping them reaching a more sustainable world than today.
REFERENCES
Al-Rousan, N. & Petrie, G., 1998. System Calibration, Geomet-
ric Accuracy Testing and Validation of DEM & Orthoimage
Data Extracted from SPOT Stereopairs Using Commercially
Available Image Processing Systems, IAPRS, Vol.32/4, “GIS
Between Visions and Applications". Stuttgart, pp. 8-15
Feng, X., Fritsch, D., Wang, Z., Liu, X., Hild, H., 2002. Geo-
Information Derivation and Management. In: Treuner, P., She,
Z., Ju, J.: Sustainable Development by Integrated Land Use
Planning. Final Report on a Co-operative Research Project.
Stuttgart.
Haala, N., Walter, V. & Stitter, C., 1999. Analysis of
Multispectral and Stereo Data from Airborne Pushbroom
Systems for DTM Generation and Land Use Classification,
International Airborne Remote Sensing Conference and
Exhibition, Vol.I. Ottawa, Ontario, Canada, pp. 170-177
Hild, H., 2001. Automatic Image-To-Map-Registration of Re-
mote Sensing Data, in: D. Fritsch & R. Spiller, eds,
"Photogrammetric Week '01', Heidelberg, pp. 13-23.
Hutchinson, M.F., 1988. Calculation of hydrologically sound
digital elevation models. 3rd International Symposium on
Spatial Data Handling, Sydney. Columbus, Ohio, International
Geographical Union.
Hutchinson, M.F., 1996. A locally adaptive approach to the
interpolation of digital elevation models. In: Proceedings, Third
International Conference on Integrating GIS and Environmental
Modelling, Santa Fe, NM.
Ju, J., 1998. A Primary Integration Matrices Approach to
Sustainability Orientated Land Use Planning in China.
Stuttgart.
Lillesand, T.M. & Kiefer, R.W., 2000. Remote Sensing and
Image Interpretation, 4" ed. New York.
Walter, V. & Fritsch, D., 1998. Automatic Verification of GIS
Data Using High Resolution Multispectral Data. In: T. Schenk
& A. Habib, eds, IAPRS', Vol. 32/3, ISPRS Commission III
Symposium on Object Recognition and Scene Classification
from Multispectral and Multisensor Pixels, Columbus/Ohio,
pp. 485-490
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