Full text: Proceedings of the international symposium on remote sensing for observation and inventory of earth resources and the endangered environment (Volume 3)

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together with a detailed knowledge of certain parts selected as field checks, 
as well as a study of the relevant literature and any pre-existing maps. 
Mapping is carried out by interpreting the aerial photographs in an Inter- 
pretoscope, a stereoscope with a continous magnification from 20 to 15 times. 
The boundaries between the different vegetational units are traced onto trans- 
parent plastic overlays, each unit being designated by a code number. The 
interpretational work is then followed by a 6-8 weeks field survey for each 
5Cokm“ section of the map. Following the results of the field survey, any 
necessary changes are made to the transparent overlays. The data contained 
on the overlays are then transferred to the topographical base map with the 
aid of special device, the Stereo Facet Plotter or Wild B8. 
The final map is printed in five colours. The basic colours indicate the 
vegetational units, heaths, meadows and mires, which in the majority of cases 
also provide a picture of the subdivision of the mountain area into its natural 
regions. Colourshades are used to indicate certain ecological factors, viz. 
darker shades represent increasing degrees of humidity and/or nutrient status. 
The addition of code symbols indicate the mixture of another plant community 
within the dominant one, indicated by the colour code, when the former exceeds 
30-50% of the plant cover. A series of special symbols are used to designate 
such communities as willow thickets, wind-exposed dry heath and boulder-strewn 
areas. 
The greatest problem which arises in production of the survey vegetation maps 
is that of making generalisations. The minimum area of coverage which can be 
represented on such a map is ca 300x300 m. Within an area of such an extent 
the vegetation may well not be homogeneous, but in fact represent a complex 
mosaic of plant communities, many with ill-defined boundaries. 
Areas of high species diversity (e.g. rich fen) also pose a great problem for 
the cartographer, both when interpreting aerial photographs and when making 
the subsequent checks in the field. With few exceptions they are virtually 
impossible to pick out on the photos. Field work is very much concentrated to 
such species-rich communities for whose presumptive presence a study of the 
geological map sheets is invaluable. 
The maps are constructed by three photographic interpretors, each of which is 
responsible for mapping 5(bakm4 per year. The whole project is thus expected 
to need 5 years for its completion and will consist of 20 separate map sheets 
and have cost ca 2 million Swedish crowns. 
METHODOLOGICAL STUDIES ON THE MAPPING OF SOUTHERN AND CENTRAL 
SWEDISH VEGETATION 
A vegetational classification scheme suitable for use in the interpretation 
of aerial photographs of the plant communities found in southern and central 
Sweden has not been specially deviced. Two of the existing classification 
schemes have been evaluated in the methodological study and subsequently 
modified for use in the interpretation of aerial photographs (fig. 3). The 
resultant classification scheme is based on types of natural vegetation cover 
present, in conjunction with various ecological and physiognomic factors and 
the effects of human influence on the landscape. The scheme is suitable both 
for survey maps covering a whole province (scale 1:50,000) and for more de- 
tailed maps covering smaller areas (scale 1:20,000, 1:10,000). An assessment 
of different kinds of photographic materials has been made, viz. black-and- 
      
  
  
   
  
  
  
  
  
  
  
   
  
  
  
  
  
  
  
  
    
   
  
  
  
  
   
  
  
  
  
  
   
   
  
   
  
  
  
  
  
  
  
  
   
   
  
   
   
  
   
   
FOREST 
10 Mixed 
11. Conife 
133! 
12 Decidu 
121 | 
122 | 
123 | 
124 | 
13 Decidu 
131 I 
132 | 
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134 ( 
14 Decidu 
141 ! 
142 | 
15 Clear- 
OPEN FORES 
20 Mixed 
21 Conife 
211! 
212 | 
22 Warmth 
221 ( 
222 ( 
23 Other 
231 | 
232 | 
233 | 
234 | 
SCRUBLAND 
31 gunipe 
32 Willow 
33 Maritir 
34 Other 
341 | 
342 
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