International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004
been much longer if its onset was wrongly estimated merely due
to a lack of observations.
9000 100
8000 :
Dry matter after 100 days : 7000 |
Roots: 785. kgiha i
— St 4153. kgha i 86000 -
Leaves: 1560. kgha i]
Storage: 8207. kgha | 5000 +
1a g gna 2à 5000
P } 4000 -
/ i
p | 3000
"n
7 i 2000
ZL i
: 1000 :
mie 0
9000
8000
Dry matter after 100 days :
7000 | ©
Roots: 805. kgha
- Stems: 4214. kgha 8000
Leaves: 1617. kgha ed
Storage: 8306. kg/ha
1b pp ise
ob The law
HC "n 3000
yd 2000 |
A
Pt | 1000}
or ^
ES at 1 a
Er EE REAR EAE ELL EERE AERA SEE SR EERIE RE ER ER ICI VU kaha
à
Planting time, Julian day number
Figure 5. Dry matter growth curves simulated with the PS-n
model on the basis of the canopy-ambient air
temperature difference.
Since the time-window for obtaining satellite data based on the
NOAA-14 overpass ranges from 13.00 to 15.00 h, the introduction
of GMS-5 data theoretically triples our chances since the satellites
scans our area of interest every hour (approx. 13.00, 14.00 and
15.00 h). With a bias towards obtaining additional cloud-free
observations before, during and after these particular crop stress
periods we were able to infer more AT values from GMS-5. Now
32 cloud-free observations could be used compared to only 24 out
of 100 days of the crop cycle when we relied on data form NOAA-
14 alone. The robustness of the crop stress detection improved
considerably, and seemed to confirm that the second period of
stress (2a and 2b) was indeed as short as initially estimated. From
five additional observations could be concluded there was indeed
no canopy heating between JD 250 — 263. In addition, more
observations during the first crop stress period could be obtained
for days that were cloudy at the moment NOAA-14 passed, but
cloud-free just after or before this moment when GMS-5 scanned
our area of interest. The duration of the first stress period (la)
now proved to be much shorter (JD: 182 — 184 instead of 178 —
184) as indicated on the graph (1b), lower part of Figure 5.
The results indicate that SOM values can be determined from the
new method with a higher degree of certainty as compared to the
existing method. When evaluated against SOM values as
observed (8453 kg ha) at the experimental maize fields, the
estimates are within an accuracy of about 150 kg ha’', a relative
error of less than 1.8%. This also confirms our hypothesis that
observations from geo-stationary satellites as an additional data
source with a higher temporal frequency than measurements from
polar orbiting satellites can be useful to explain temporal
dynamics of crop stress in an effort to better estimate regional
harvestable crop produce.
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Internati
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Sobrino,
methods
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Sun, D.
Tempera
Satellite
Tokuno
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Models |
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