Agriculture Reference
In-Depth Information
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logical data from February to June (1992-97), and dekadal (10-day) data
for agricultural season (1992-97); (3) experimental data at Yucheng Eco-
system Experimental Station, Chinese Academy of Sciences (CAS), in Shan-
dong province, and Fenqiu Ecosystem Experimental Station and CAS in
Henan province (1992-93); (4) socioeconomical data including crop pro-
ductivity, population, and county area; (5) AVHRR data (1992-97); and
(6) maps showing drought distribution and severity. The GIS integrates
these different data sets (remote sensing data, CWSI, and NDTI models) to
map soil moisture, evapotranspiration, and, finally, drought conditions.
Ti meslice Products
Tian (1993) monitored droughts in the NCP region by estimating CWSI
and relating it to soil moisture as follows:
[363
E
E p
=
CWSI
1
Line
——
-0.1
——
Norm
PgEn
1 . 476 W
W f
=
1
m a
=
1 . 503
( R
= . 90 )
[28.15]
w here W is the soil moisture, W f is the field capacity, and R is the corre-
la tion coefficient. Table 28.3 indicates the accuracy of drought monitoring
w ith the CWSI model. Figure 28.4 shows how timeslice products are used
to monitor drought in NCP.
[363
So il Humidity Index
The SHI is calculated as
SHI j = ( Q j / SW j ) 100
[28.16]
w here SHI j is the ratio of soil moisture ( Q j ) to field capacity (SW j ), and
j v aries from 1 to 10 for soil measurement. The relationship between the
ve getation condition index (VCI) and SHI was established to enable the
us e of the AVHRR data to monitor droughts in China. The soil moisture
Table 28.3 Accuracy of drought monitoring using crop water stress index model
in 1994
Accuracy (%)
City/province
March 4
March 26
April 13
April 30
May 8
Beijing
84.0
86.0
85.0
88.0
85.0
Tianjin
88.0
88.8
82.5
85.0
87.2
Henan
90.6
87.5
83.1
88.8
86.2
Anhui
83.3
80.6
86.6
83.3
83.3
Jiangsu
80.0
Cloud
75.0
81.5
80.0
Sh andong
81.4
85.7
82.8
82.8
85.7
Hebei
85.7
80.0
84.2
87.1
85.7
Source: Tian et al. (1997).
 
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