341
- the contour sheet will have, additionally, 3 classes of 'degree of
difficulty', irregular, average and smooth, giving 15 (5 x 3)
categories defining contour density and roughness of the terrain,
it is proposed to prepare feature density classification sheets for
6 scales of mapping - 1:1000, 1:2500, 1:5 000, 1:10 000, 1:25 000
and 1:50 000.
There will be 2 sheets, each containing 3 planimetric features, for
each scale of mapping. The final document will have 12 (6x2)
planimetric sheets and 1 contour sheet on the assumption that the
contour sheet will be independent of scale.
the final sheets will be compiled from colour separated repromat,
finished to a fair drawn standard and litho printed.
Figure 1 illustrates the lay out of the planimetric feature density
classification sheets.
Figure 2 is part of the 1:25 000 pilot sheet at a slightly reduced
scale and shows elements of buildings, water features and
communications in the medium, medium dense and dense ranges.
The map information will be abstracted where possible directly from
colour separated repromat provided by the WG. For example, all the
water features are generally directly available from the blue plate on
the small scale sheets. However, where several elements are combined,
say on one black plate, it will be necessary to digitize all the
elements of the feature required and redraw these, using an automatic
drafting table, so that the feature may be separately presented on the
classification sheet.
It has been concluded that for the purpose of visual estimation, the
feature density classification system will have to be presented
graphically at different scales. However, better modelling will be
possible at the statistical processing stage of the OEEPE cost
modelling research task if the various samples are quantified.
Furthermore when using the system for estimating it will be possible to
interpolate and extrapolate between the given standards more easily if
both graphical and quantified data is available.
CONCLUSIONS
Creating a feature density classification system and establshing
standards are necessary stages in the OEEPE cost modelling research
task.
By using the standards which will be established, it is felt that
individual organizations could improve their own estimating
performance.
If the established standards are used in investigations into the cost
performance of new procedures, the resulting publications and reports
should be more useful to readers. The standards could also be useful in
scientific publications.
The standards would be available for use in contract specifications, to
describe more precisely the nature of the terrain to be mapped.
Creating the feature density classification system and establishing
standards will involve some effort and expense which is being borne by
the OEEPE WG and by the ITC. We trust that worthwhile benefits will
accrue to the international photogrammetric community and to individual
contributing organizations.