nbul 2004
ie left are
corner are
buildings
.
SEE
+
>
Ra
>
ve
28 Ü
d 2! {
2,
so I
ie building
:
S
A
ding types
ings.
of objects
listribution
use spatial
ty between
rity in the
ıment to a
after the
TKIS. The
ostly these
irthermore,
Depending
3. building
ignment to
1 be done.
ics can be
r scanning,
ts from the
id from an
er cent.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
M 500-750
EE 750-1000,
I 1000-1250
| 1250-1500
| 1500-1750 A
1750-2000
»2000
Figure 5:
volumes and specific heat coefficients.
2
e
Li
Gg
mpeg J
x
>
A.
=
B f
Ü Sun SL
2
3. 250-500 4
81500750 UE
M 750-1000 « sew
| 1000-1250 q
] 1250-1500
| 1500-1750
1750-2000
»2000
. Figure 6:
e
v
#
^
»
Heat demand from an existing heat atlas.
Que
o
7 85030
N
Dico
P URDU m
p
o
@
SA
Heat demand determined by using building
^^
719
7. CONCLUSION AND OUTLOOK
The result shows that the method is able to deliver similar
values like a heat atlas and can be used for regions that do not
have a heat atlas.
Currently, we are trying to improve our method in several
ways. Firstly, we are extending the set of attributes for the
individual buildings, by also taking relations into account, e.g.
the distance to the street, or the distance to neighbouring
buildings.
At the moment the building typology only considers residential
buildings. In future we will use other training datasets which
also have building types for other buildings, e.g. schools or
industrial buildings.
The next step is to analyze the settlement types with regard to
find suitable regions for local and district heating. To this end,
not only the individual settlement areas of similar type have to
be analyzed, but also other factors have to be taken into
account, e.g. existing pipelines, or the size of the area and
distribution of the buildings, which directly is linked to the
costs for installing the pipelines.
ACKNOWLEDGEMENTS
We gratefully acknowledge the funding by the AGFW
(Arbeitsgemeinschaft Fernwürme, e.V.) The laser scanning
data was provided by the Landesvermessungsamt Baden-
Württemberg, building ground plans by the Stadtmessungsamt
Stuttgart.
REFERENCES
AdV, 2003. Arbeitsgemeinschaft der Vermessungsverwaltun-
gen der Linder der Bundesrepublik Deutschland,
http://www .adv-online.de/english/products/lk.htm, accessed
April 2004.
Anders, K.-H., 2002: Parameterfreies hierarchisches Graph-
Clustering Verfahren zur Interpretation raumbezogener Daten,
Dissertation, Hannover.
Atkis, 2003. http://www.atkis.de/, accessed April 2004.
Baltsavias, E. P., Gruen, A., van Gool, L., 2001: Automatic
Extraction of Man-Made Objects from Aerial and Space Images
III, Balkema Publishers.
Brenner, C., 2000: Dreidimensionale Gebäuderekonstruktion
aus digitalen Oberfláchenmodellen und Grundrissen. PhD
Thesis. Universität Stuttgart, Institute for Photogrammetry.
Briese, Ch., Pfeifer , N., Dorninger, P., 2002: Applications of
the Robust Interpolation for DTM Determination. Symposium
ISPRS Comm. III, Graz, 9 - 13 September 2002. International
Archives of Photogrammetry and Remote Sensing, Volume
XXXIV /3A.
Masaharu, H., Ohtsubo, K., 2002: A Filtering Method of
Airborne Laser Scanner Data for Complex Terrain.
Commission III, Working Group III/3.
Neidhart, H., Brenner,C., 2003: Automatic Calculation of
Building Volumes for an area-wide Determination of Heat
Requirements, ISPRS Commission IV Joint Workshop
"Challenges in Geospatial Analysis, Integration and
