Function has to be known. This photometric function sure and slope of 1 0°. The right part of field D was wet
depends on microscattering properties of the individual (approx. 18%), left part was dry (approx. 9%). The ther-
remote surface elements and macrostructure of the soil surface mal measurements of field D were compared to the tem-
ibution, (Hapke B. W. 1963). Macrostructure can be classified as perature obtained for flat part of field B. The results are
remote smooth, corrugate or porous. Microscattering properties shown in Tab.9.
)pogra- can be divided into three general types: forward- , iso-
to be tropic- or backscattering. Area Field B (flat part) Field D
To remove negative topographic effect we need to know m. T m To Tc
the solar illumination conditions on slope surfaces. The 1 14% 16 °C 9% 10.5 °C | 17.9°C
procedure of removing topographical effect from remote 2 19% 14 °C 18% 87°C | 14.7 °C
sensing data usually consists of following stages:
1) Calculation of slope and exposure of the soil surface Tab. 9. Thermal measurements of field D compared to
for each pixel of DEM. . | the temperature for the flat part of field B /m - soil moisture,
2) Evaluation of the solar zenith angle and azimuth for 7 - temperature of field B, T.- temperature of field D (raw data), T.-
horizontal surface at the moment of registration. For modified temperature of field D (assuming that surfaces are heating
this purpose it is necessary to know: according to the cosines of incident angle)].
e Sun declination and inclination depended on a day
and an hour of the registration,
e geographical co-ordinates of the research area: lati-
It is clearly visible, that applying correction procedure the
temperature levels (Tc ) of field D are comparable to the
temperature levels (T) of field B and now could be used
)- tude and longitude of the center of test area. for thermal inertia modelling.
3) Evaluation of illumination angles of sloping surface
Saar (solar zenith angle and azimuth) for each pixel on the
base of data:
slope and exposure of the surface for each pixel,
e solar zenith angle and azimuth of the horizontal sur- packscattering coefficient
A | face. (0.8 - 1.7)
F 4) Generation of the correction coefficient image using EN - 1.0
known BRDF. ;
LX 5) Multiplication the raw images by the correction coeffi-
J cient images.
- 30 Many Geographical Information Systems (GIS) allow to
calculate slope and azimuth from DEM, some of them
have an option to remove topographical effect using the
simplest BRDF, basing on the Lambert's formula. The
Lambert's method was criticized cause over correction of
the slopes with north exposures, (Smits G.H. et. AI.
1980). There are also another developed of theoretical
models (for example: Hapke B.W., 1963, Kimes D.S and
Kircher J.A. 1981, Cierniewski.J. 1991).
The test area was topographically diversified with eleva-
tion differences ranging from 215 to 280 m above see
level and slopes from 0° to 28°. Corresponding incident Fig. 10. Backscatterig coefficient image.
angle (solar zenith angle) vary from 30° to 80°.
For testing the different BRDF it was necessary to prepare
a special computer program. Two examples of the cor-
fom images draped on DEM are shown on Lambert's cosfficient
Mentioned above BRDF models were worked out for visi- 07-23
ble range of electromagnetic spectrum. There is a ques- t EH - 1.0
tion: is it possible to use them for thermal range? Does n i er us = 1.0
ii did radiation depend on registration direction or ?
not?
During the thermal inertia modelling for soil moisture
assessment the problem connected with the calibration of
the thermal images has also appeared. Temperature of
the soil surface strongly depends on the exposures and of
the slope range. The slopes looking North are of course
'OINT -
ield B). cooler of those looking South. In the thermal inertia mod-
elling for soil moisture evaluation the soil surface tem-
on level perature for areas of the similar water content should be
yrizontal on the same level and should not be dependent on the
- should Surface exposures.
rved for To check this question some initial measurements were
al effect made. On the Fig.12 an example of the terrestrial thermal Fig.11. Lambert's. coefficient image.
tribution Image of filed D is shown. Filed D has a northerly expo-
285
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996