TEMPERATURE
ac
3
DO SO OO ON N A OO
X UN ON AO UN I
pu
8 5.
ve
LENS: 20 THERMAL RANGE: 5
APERTURE: 20 FILTER: NOF 10.5
10.8
Fig.12. An Example of the terrestrial thermal image,
(field D).
2—=
2 o'clock p.m.
PE: E
25 °C 30 °C 35 °C 40°C 45°C
Fig.13. Influence of the geometry (direction of registration
and Sun main plane) on terrestrial temperature meas-
urement.
CONCLUSIONS
This study presents the attempt to apply thermal inertia
model and remote sensing data for soil moisture mapping
over the study area of the homogeneous soil type and
diversified topographically as well as from the point of
view of agricultural use. For thermal inertia modeling the
main data set should be consisted of the geographical
and meteorological data, the remote sensing imagery and
some of the in situ measurements (soil temperature and
soil moisture) for the calibration of the diurnal tempera-
ture differences and the soil moisture evaluation proce-
dure.
The research reported here also indicated that the re-
moval of the topographic effect based on DEM and Lam-
bert's. method is very advisable, especially on the mor.
phologically diversified areas. As expected, some prop.
lems and inconveniences connected with the field works
organization and remote sensing data pre-processing,
were observed. It occurs mainly because the remote
sensing observations and field measurements have to be
done simultaneously at precisely defined and very short
time periods, for the maximum and the minimum soil
diurnal temperature. It should be stressed that sufficient
numbers of the ground control, and thermal points are
required for geocoding and merging procedures.
The research suggests that an automatically mapping of
the soil surface moisture is possible and seems to be very
effective tool for the agriculture purposes: planning and
management. Knowledge about soil-water conditions is
very important in the planning of the structure crops,
prediction of yield and also implementation of a conser.
vation program for most agricultural soil.
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International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996
