Full text: Photogrammetric and remote sensing systems for data processing and analysis

  
The objective to derive accurate estimations of timber 
volume and forest biomass using SAR data (Guindon et ai, 
1981) ean only be reached without implementation of a DTM 
and radargrammetric corrections respectively, if the terrain 
is flat. For mountainous regions, which - at least for 
large parts of the world - show most forests, radargrammetry 
becomes an absolutely necessary tool. Visible and 
near-infrared scanner data may assist in getting even more 
precise information on plant heights and biomass (Rosenthal 
et al. 1985). Here, geometric referencing is of substan 
tial importance. 
Recent activities in applying multifrequency,  multi- 
polarization and multi-incidence angle SAR data for land 
cover classification, especially for natural vegetation and 
crops, yielded promising results (cf. Mehta 1984). Changes 
in the SAR viewing geometry give rise to a spatial variation 
in land cover mapping accuracy. A high portion of back- 
scatter variance can be explained by changes in the 
incidence angles (Frost et al. 1984, Foody 1985). 
5. CONCLUSIONS 
The usefulness of radargrammetry in supporting the 
analysis of SAR imagery has been demonstrated in a number of 
examples. Radargrammetric techniques, originally developed 
to solve the geometric aspects of radar mapping problens, 
provide the basic tools for map-guided geodata acquisition, 
for change detection leading to topographic and thematic map 
revision, and for the integration of multi-sensor remote 
sensing data into geographic information systems, and 
consequently can play an important role in geosciences. 
Whatever application, all studies utilizing digital SAR 
data still demand some knowledge about radargrammetric 
details. To attract a larger community of experimenters, 
the information derivable from SAR imagery should be 
presented in an easily exploitable form, i.e. data pre- and 
postprocessing should better meet the ultimate users' needs. 
This, in turn, requires major efforts to improve the 
understanding of potential SAR data applications. 
6. ACKNOWLEDGEMENTS 
The present paper results from joint activities of the 
Graz Research Center radar group. The authors thanks in 
particular go to D. Strobl and J. Raggam. 
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