IAPRS & SIS, Vol.34, Part 7, "Resource and Environmental Monitoring", Hyderabad, India,2002
In the SILUP (Sustainable Development by Integrated Land
Use Planning) project team, scientist from different disciplines
are working closely together. The scientists from Germany and
China are researching in the fields of Regional Development,
Land Use Planning, Hydrology, Geography, GIS and Remote
Sensing. Each project partner brings his special knowledge
into the team.
2. TOOLS TO ACHIEVE A SUSTAINABLE LAND USE
PLANNUNG
2.1 Helping the planning authorities
Collecting a huge amount of data and giving the planning au-
thorities an easy access to terrabytes of raw data can't be the
solution. Politicians and planning authorities have to make de-
cisions and the data has to be presented to these users in a
form they can manage and understand. This makes data man-
agement a main task in the project and this is still a vital field
of research. The decision making authorities should get the
chance to really make a decision out of different options. So
they should be able to get different possibilities from which
they can chose the best one for their region and situation. Data
management consists here of more than just putting the data
together. Bringing the optimal data to the right user is the
challenge.
2.2 Generalisation and Simplification
One crucial step in the right direction is the simplification of
the data. To decide what part ‘of the land should be used for
building a development site, no one can overlook all the differ-
ent aspects of socio-economic and ecological impact at one
time. Even the most sophisticated model is able to include all
the different aspects of the reality. Land Use Planning always
includes an idea of the future, because the plan developed now
is used in an unknown and uncertain future. Therefore you
can’t expect a perfect Land Use Plan. The aim is a process of
Land Use Planning which tries to achieve a more sustainable
development for the future.
The basic idea of integrating all available information is ex-
pressed in the use of a matrix aggregation scheme as proposed
by Ju (1998). The matrix aggregation tree leads to a so called
Final Classification Matrix. With the FCM a systematic
approach, for obtaining a objective information basis for land
use planning taking simultaneously the natural resources and
the socio-economic needs in account, is available.
Every parcel of land, exceeding a minimum size, is classified
according to the FCM (Figure 2). The idea behind the FCM-
approach is that each parcel should be classified with regard to
its “ecological value” and the “socio-economic needs”. The
land use restrictions are derived out of these two values. Ac-
cording to these classifications a map for the planning authori-
ties is created. The “ecological value” of an parcel is a combi-
nation of different aspects like flood-prevention, natural re-
sources, bio-diversity, etc. “Socio-economic needs” is defined
from the existing or forecasted pressure to use this parcel of
land as, for example, a industrial or settlement area.
The values for “socio-economic needs” and “ecological value”
are also derived from other “feeding” matrices. The “economic
value” is derived from a matrix of “Value of Land for Human
Needs" and "Value of Land for Biodiversity". These values are
again derived from other matrices. To get the FCM a FCM-tree
consisting of a range of different matrices has to be created.
Obviously a lot of data is needed to classify an area according
to the FCM approach. To get this data remote sensing tech-
niques are useful, especially because the data used to fill these
matrices should be
. up to date
>. from a wide area
3. collected fast and at low cost
The collected data has to be stored and managed using a
spatial database system. All spatially related input data had to:
be corrected, updated and homogenized. The data was brought
to a common reference system. The chosen dataset format was
Arc/INFO coverage. Raster data are stored as georeferenced
images or grids.
GIS and remote sensing play a major role in keeping actual
data in the database and deliver the data needed by the
different scientists in a way they can easily use it for their
purpose.
: 66
Conditions for Ecological Value of Land'
Transfer : I : :
low medium | hígh very high
ve unrestricted on the basis of after normal env. on the basis of
; ry use simplified env. impact analysis special studies
high impact analysis only only
on the basis of on the basis of after normal env. to be used in
“Socio- h igh simplified env. simplified env. impact analysis exceptional cases
impact analysis impact analysis only only
Econo-
mic ed on the basis of after normalenv. after normal env. absolute :
Needs medium simplified env. impact analysis impact analysis protection
impact analysis only only
on the basis of after normal env. to be used in absolute
low simplified env. impact analysis exceptional cases protection
impact analysis only only a
Figure 2. Prototype of a Final Classification Matrix (Ju 1998)
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