Table 1. 
List of projects realized by Dept. of Photogrammetry and Remote Sensing AGH Kraköw 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
KRAKÖW | 40 km x 40 topographical map 1:50000 43 000 30x 30 m grid 
km contour digitization (1000) 30m x 30m 
SKALA 1 km x 1.6 polar method 10 500 2.5m x contours 
km with use of Total Station (1500) 2.5m 
topographical map 1:10000 300 000 10m x 10m grid 
LAZY 25 km x 6 km scanning, raster-vector (26 000) 5m x 5m 
conversion, 
digitization on screen 
topograph.maps 1:1000 & 
1:10000 120 000 2m x 2m grid for 
scanning, raster-vector (13 600) orthophoto 
conversion, rectification 
digitization on screen 
KONIN 12 km x 5 km enhancement 
aerial photos 1:8000 of DTM 
manual profile measurement 100 000 2m x 2m for contour 
on stereo-plotter (10 000) map 
Stereometrograph in scale 
with automatic recording 1:2000 
topograph.maps 1:10000 
1000 000 
scanning, raster-vector (215 000) 10m x 10m 
conversion, 
digitization on screen grid 
RABA 700 km? aerial photos 1:30000 10 x 10m 
manual profile measurement 100 000 
on stereo-plotter (50 000) 10m x 10m 
Stereometrograph 
with automatic recording 
WAWEL manual measurement 5000 grid 
(surface of | 2.5m x 5m with micrometer (400) 5cm x 5cm | 5cm x 5cm 
historical 
wall- 
painting) 
  
  
  
  
  
4. PREPARATION OF MAP-DIGITIZED DATA 
IN ORDER TO CALCULATE DTM 
The SCOP was mainly designed to create the DTM from 
photogrammetric measurement. So, in cases, when data 
are derived by digitization of map contour lines, the 
problem of different density of data often occurs - for 
sloped surface the density of contours is high, while for a 
flat terrain the density is low (assuming that the contour 
line interval is the same). 
Interpolation with linear prediction method causes 
undesirable effects in places with differential data density 
- interpolated surface may get unreal depressions or 
overhights. In such case good results could be reached 
by division the region, using break-lines, into smaller sub- 
regions according to the data density. Such situation is 
shown in Fig.1. When a default method of interpolation is 
used, the SCOP adjust the way of calculation to data 
type: calculation units with break-lines are computing 
with linear function, while for units without break-lines the 
bell-curve function is applied. The thick lines in Fig.1. are 
not in fact the terrain (authentic) break-lines, but when we 
give them such attribute, surface modelling in SCOP 
would be more correct. 
662 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996