292
Table 1. The reflectances of different crops
(1985, July 13, BeiAn city)
Band
(MSS)
Millet
Patato
Spring
Wheat
Soybean
4
3.5
10.3
2.9
5.7
5
1.0
1.1
1.5
1.7
6
34.1
51.8
18.5
35.6
7
34.6
62.4
21.4
39.3
Table 2. The reflectance of
of Spring wheat (1985 May -
variant growing stage
July, BeiAn city)
Band
(MSS)
Seedling
stage
Nodal
stage
Heading
stage
Milky
maturity
4
12.05
9.28
5.85
4.73
5
10.85
5.7
3.1
2.35
6
35.35
39.23
30.72
22.75
7
37.95
45.18
33.73
25.87
Figure 3. The spectral curves of spring wheat
growing well and badly in milky maturity stage.
We have checked up the two spectrumyield models for
examining the effect of them, the accuracy of two
models as follows:
1 high yield model: 90.3%
2 mid yield model : 92.5%
3. CONCLUSION
We demonstated that the spring wheat yield esti
mation can be forecasted by the measurement with
hand-held radiometer. But these spectral data was
obtained through measuring for one year, it was not
possible to use these data to predict the yield
of spring wheat precisely.
Summing up, it was a good method that apply the
spectral data for obtaining the model of per unit
area yield. If the measuring points and times are
propperly increased, the accuracy of models will be
further raised.
REFERENCES
R.B. MacDonald and F.G. Hall: Global Crop Fore
casting 1980 16 May Volume 208 pp. 670-679.
J.K. Aase, F.H. Siddoway and J.P. Millard: Spring
wheat-leaf phytomass and yield estimats from airborne
scanner and hand-held radiometer measurement.
International Journal of Remote Sensing Vol.5 No.5
Sept-Oct 1984
Symt
Mull
and
(Ital;
M.Mei
Institute
D.A.C
Instituto
ABSTRACT
digital
with ph<
multitei
indices
dices, 1
differei
the acci
pixels i
relativi
1 intro:
Identif:
LANDSAT
researc:
monitor
pealing
tion me
ping wi
In th
(Crist
Hinzman
analysi
op inion
of autoi
of redu
each sc
issue w
imagery
to prov
cultura
excessi
analysi
The p
satelli
dealt w
should
methodo
In ge
aspects
agricul
within
In th
briefly
scienti
the obs
only tw
the com
to leav
of crop
2 SOME
PING
2.1 Act
The app
does in
tion. A
