Full text: Proceedings, XXth congress (Part 3)

  
  
    
  
   
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004 
  
off-nadir). The best available geographical sources (raster maps, 
world or regional vector databases like VMAPO or VMAPI, 
orthorectified space imagery) are used to get the most accurate 
position of the water body to derive the most accurate height 
from the altimeter data. 
When many different water bodies are situated nearby the 
satellite nadir and are potential candidates to match with 
specular signal, an optimisation process is applied taking in 
account all available altimetric data from different orbits and 
keeping the most coherent solution among all the candidates 
(the different orbits should give the same altitude for a single 
water body) 
3.3 Expected accuracy 
When the satellite crosses vertically through the water body 
(lake or river), the altitude of this water body can be derived 
from altimeter data with about 2 meters accuracy. This result 
was established after comparison with elevation reference 
points extracted from best topographical sources along some 
French rivers (Maheu, 2000). 
When the water body is off-nadir, its altitude (derived from 
altimetric data) will depend of the accuracy of its horizontal 
position . The impact of this horizontal error determination on 
the altitude determination can be approximated by the following 
formula derived from the general formula given in 3.2. : 
H.error = (L/Z)* L.error 
when 
{{<<Z,L<<l), L.error >> D'error, Lcrror >> Z.error) 
Numerical example : for L = 15 km , Z = 700 km and 
L.error = 250 m we get H.error = 5 m. 
4. SELECTION OF ALTIMETRIC DATA IN FLAT 
AREAS 
The exploitation of radar altimetric data on water bodies was 
very encouraging and made us extend its exploitation to land 
areas. 
The “threshold retracking” method developed by GRGS for 
altimetric observation of continental ice sheets (Rémy, 1990 , 
Legresy 1995, 1997, 1998) and adopted by SPOT IMAGE to 
support image rectification and DEM control, rejects altimetric 
measurements in very rough terrain; then only flat to 
moderately rough terrain measurements are kept after retracking 
(about 80% of the on board memorised data). 
We have to keep in mind that satellite radar altimeter was first 
designed for oceanographic purposes dealing mainly with 
specular data, that is why a severe selection process has to be 
applied to keep adequate data matching with required accuracy 
of the mapping project. To minimise unwanted or uncontrolled 
errors due to “slope effects” or “smoothing effect” (which will 
be studied in the next section of this paper), priority has been 
given to very flat areas to collect very reliable height 
measurements. The selection process designed to extract the 
elevation of very flat terrain areas is described in following 
subsection. 
4.1 Criterions for selection of flat areas 
Signal continuity is the first filter applied to available data after 
retracking. It consists in keeping only the "ideal" sequences of 
20 measurements per second, that means without any 
discontinuity. A statistical analysis showed that about 50% of 
  
data are rejected by this first filter due to terrain roughness, on 
board tracking discontinuity or rejection by retracking . 
Height variation within one sequence is the next filter applied to 
remaining data. To minimise uncontrolled reflections due to 
changing heights and slopes inside the impact zone of the radar 
pulse, only data associated with very flat surface are selected. A 
0,75 m threshold for standard deviation within a one-second 
sequence (corresponding to a 8,3 km travelling of the satellite 
on his orbit), equivalent to a maximum slope of 2 meters for 10 
km was finally adopted . 
Statistically about 8095 of the remaining data is rejected by this 
test. 
Inter-cycle height variation is the last filter applied; it consists 
in computing for each height measurement the maximum height 
difference with all other height measurements derived from 
other passes of the satellite within a 2 km radius. This checks 
the coherency and stability of ERS measurements along time. 
The maximum height difference observed should be 5 m for a 
1 
minimum of 3 cycles available 2 km around the data point to 
test. 
  
4.2 Selectivity and accuracy 
After passing through the different selection steps (retracking, 
signal continuity, height coherency between several cycles) 
about 5% of the total input data are kept for exploitation in 
DEM control or ground control in photogrammetric block- 
adjustment. 
Comparison of this type of selected data with reference height 
points extracted from reliable topographical maps showed 
agreement better than 5 m in most cases (more than 95%) 
5. ACCURACY EVALUATION OF ALTIMETER DATA 
RELATIVE TO TERRAIN CARACTERISTICS 
We have also tried to refine the modelisation of radar pulse 
reflection on moderately rough and heterogeneous terrain . The 
aim was to extend the domain of validity of ERS altimeter data 
providing it keeps satisfying the required accuracy for mapping 
projects . 
For that purpose, we have used a special algorithm based on 
radar simulation, developed by GRGS (Pace, 2003). 
5.1 Principles of GRGS waveform simulation algorithm 
For each radar pulse, the simulation algorithm builds a 
simulated waveform taking into account the satellite position 
and a refined physical model of propagation and reflection of 
the radar pulse on the ground surface. The ground surface itself 
is simulated by the best available DEM or the DEM to control. 
The variation of reflectivity inside the total zone hit by the radar 
pulse is modelised with the help of an existing vector database 
like VMAP (only the water bodies have been considered in the 
current version and were given a much bigger reflectivity 
compared to land surfaces). The simulated height is then 
computed from ramp mid-point of the simulated waveform. 
Then the simulated height is compared to the height derived 
from on-board data which is much more convenient than 
comparing directly ERS observed height with DEM height, as 
both the ERS observed height and simulated height carry the 
same systematic errors like "slope effect", *smoothing effect" 
and “lock on off-nadir water body”. 
International Arcl 
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6. ERS ERROI 
We investigated 
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heigth (m) 
Figure 6. Heig 
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