Geography Reference
In-Depth Information
Table 4.6
Error matrix of accuracy assessment for reclassifying land-cover and land-use types
Irrigated
cropland
and
pasture
b
Grassland
b
Dryland
cropland
and
pasture
b
Deciduous
broadleaf
forest
b
Water
bodies
b
Urban
and built-
up land
b
Unused
land
b
Irrigated
cropland
and
pasture
a
97.32
0.32
2.04
0.02
0.15
2.88
0.03
Dryland
cropland
and
pasture
a
0.23
98.74
3.43
2.02
0.05
3.2
0.2
Deciduous
broadleaf
forest
a
0.54
0.04
96.45
4.43
0.23
0.3
0.22
Grassland
a
0.34
0.26
5.23
93
0.4
0.54
0.17
Water
bodies
a
0.37
0.24
0.01
0.05
97.78
0.27
0.23
Urban and
built-up
land
a
0
0
0
0
0
99.25
0
Unused land
a
0.02 0.1 0.07 0.12 0.14 0.69 90.86
a,b
represent land-cover and land-use types before and after reclassification, Overall accu-
racy = 96.84 %,Kappa coefficient = 0.9503
4.3.1.3 Processing of meteorological data
The observation data, which are used to make a comparison with the simulated
temperature in this study, come from the meteorological stations in the North
China Plain. The meteorological data of the same period (January 2006-December
2007) of the simulation are used in this study. The 20 km resolution temperature
data are obtained by interpolating the monthly average temperature data from the
57 meteorological stations in the North China Plain with the Kriging interpolation
method.
4.3.2 Results
4.3.2.1 Characteristics of LUCC in the North China Plain
during 1992-2005
Figure
4.9
shows the LUCC data of the North China Plain, which are obtained by
reclassification and upscaling of high resolution data. The map shows that the
cropland was mainly located in the plain region and accounted for 70 % of the
total area of the North China Plain.
