Full text: Proceedings, XXth congress (Part 2)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004 
  
DO 530600000 
mo 
4 
Altitudes in meters 
Figure 2 : theoretical case of an altitudinal spectrum 
representing a system of terraces with several surfaces 
(Depraetere 1984) 
As for any discrete random variable, it is possible to define the 
distribution function of the altitude from the law of distribution 
defined above. The accumulated probabilities are copied onto 
the Y-axis, the altitudes still being represented on the X-axis. 
Altitude values are usually standardized along the X-axis, as 
well as an interchange between the two axes; the curve 
produced is called an hypsometric curve (fugure 3). It is a 
descriptive statistical figure well adapted to the study of a slope. 
Its shape provides a standard description of the organization of 
rock volumes and reflects the evolution of the landscape. The 
calculation of the area located beneath the curve gives a value 
called an hypsometric integral. For a given altitudinal 
magnitude, the potential energy contained in the rock mass in 
relation to the base level can be estimated. This estimation is 
important for the evaluation of transport processes. Like 
pressure and temperature in chemistry, hypsometric curves and 
integrals can be considered as variables of state. 
Percentage Hypsometric Plot for After Dolo Set 
  
Relative Height. (h/H) 
o 2 
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0.0 
0.0 0.2 0.6 0.8 1.0 
ees Area, (o/h) 
Figure 3 : hypsometric curve (right) of Mount Saint Helens 
after the eruption. The calculated value of the hypsometric 
integral indicates a change from 0.58 to 0.64 after the eruption. 
A convex curve signifies a young landscape with an important 
energy potential of rock mass in relation to base level, 
suggesting tendancies like perching throughout the region, the 
presence of entrenchment valleys, sharp slopes with probable 
active transport processes. Inversely, a concave curve signifies 
the development of surface erosion adjusted to the base level of 
the zone. The energy potential is transformed into mechanical 
and kinetic energy leading for example to the erosion of 
interfluve zones. 
3.2 The slope 
1 
ULLALLALALARI 
The vector is represented by the equation P= | 
grad(Z) 
  
  
812 
; a+ex+dy+e' . 
whose coordinates are thus for the 
b+dx+ey+e" 
polynomial model proposed. If the norm on the surface of the 
terrain and the vertical at this site form an angle a, the module 
of the slope vector ,usually called slope, is equal to the tangent 
of the angle a which can be considered equal to a^ - b^ . The 
slope can be assimilated to a force field, whose exploitation is 
fundamental in order to model the dynamics of the sloped basin. 
As for altitude, certain representations can be fruitful, especially 
to study dynamic factors of the local geomorphology. By the 
study of representational modes on the clinographic curve 
(figure 4) and the equivalent of hypsometric curve slope angles 
for altitudes, identification of the process functioning threshold 
is possible. The estimation of lower limit, characteristic and 
higher limit angles of the modes are potentially associated with 
the nature of each dominant rock in the zone studied. The 
superimposition of clinographic curves characteristic of each of 
these rocks with the general clinographic curve of the zone can 
be used to estimate the role of each of the rocks in the relay 
process which exists between them, and therefore, on the 
general dynamics of the zone; however, taking the morpho- 
structural context, structural stage of evolution and the 
vegetation cover into account can make this type of study rather 
complex. 
Slope equilibrium 
^ "n of shales 
25 
f Slope equilibrium 
of weathered sand stones 
20 
\ / : Slope equilibrium 
15 A A) of marls 
   
  
  
P 
e 
r 
C N / \ 
e i m ur 
n NA NUN Slope equilibrium 
t ! \ of sand stones 
a 10 4 N 
g in pe Colluvions 
e A ds SS if Scarps 
5 d re Y 2 $2 . Ap 
^ Sy S À e i Te S4 
J o v AL 
0 z 1 Y SC £ >. u“ ew y 1 > 
0 10 20 30 40 50 
Angles in degrees 
Figure 4 : theoretical case of a clinographic curve in a 
lithologically contrasted region (Depraetere 1984) 
The spectral distribution of slopes can also be calculated, as is 
the case for orientations. It must be recalled that the quantitative 
diagnosis made is not necessarily the determining factor in 
relation to other elements of the landscape such as the type of 
rocks, the vegetation cover, man-made modifications... The 
combined study of hypsometric and clinographic curves 
provides a better understanding of links between the shapes and 
processes in a given zone. A comparison with studies made on 
the characteristic elements of the relief is easy. 
The fusion between the two indicators of altitude and slope 
provides effective statistical data on the curvature of the slope 
faces, by the representation of the clino-hypsometric curve 
(figure 6) ; altitudes are traditionally represented on the X-axis 
and slopes on the Y-axis. The cloud of points thus produced 
makes variable densities typical of curvature in the zone 
visually appear. The cloud of points reveals the profile of an 
average slope face indicative of the general layout of curvatures 
in the zone. 
    
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