Geography Reference
In-Depth Information
Table 3.12
The ground sample sites for validation over the farming-pastoral ecotone of North
China
Longitude (E)
Latitude (N)
Station
Land cover types
123.01
51.78
Huzhong
Temperate coniferous forests
121.56
50.83
DaXinAnLing
Cold coniferous forests
127.53
45.38
MaoErShan
Temperate deciduous forest
127.09
42.40
ChangBaiShan
Temperate mixed forest
119.94
49.33
HuLunBeiEr
Temperate meadow steppe
116.32
44.13
XiLinGeLe
Temperate grassland
117.45
43.50
XiLinHaoTe
Leymuschinensis steppe
115.99
41.27
Google earth
Evergreen needleleaved forest
115.61
40.60
Google earth
Temperate mixed forest
111.72
40.61
ShaErQin
Grassland
124.91
41.82
QinYuan
Deciduous broad-leaved forest
1
Evergreen
Needleleaf
Forest
Deciduous
Needleleaf
Forest
Deciduous
Broadleaf
Forest
Mixed
Forests
Closed shrublands
Open shrublands
Grassland
0.8
0.6
0.4
0.2
0
123456789 0 1 2
Fig. 3.15
The NDVI characteristics of different vegetation types
ground reference data, which come from multiple sources such as field investi-
gations, TEMS and 2 samples from high-resolution images obtained via Google
Earth, are used to validate land cover products (Table 3.12 ). The results show that
overall accuracy of the SCSLC map is 83.14 % which is much higher than that of
the GLC land cover map (68 %) and the UMD land cover map (52 %).
In addition, the temporal characteristics are also very important to the valida-
tion of the information of the vegetation type. We compare the temporal NDVI
value of the transformed land cover data to analyze characteristics of different
forest types. We evaluate the dataset according to phenological traits of vegetation
which are closely related to the temperature as well as the elevation. Vegetation
dynamics presents some important short-term and long-term ecological processes.
The continuous temporal observations of the land surface parameters with the
satellite can reveal their seasonal and annual development. In this study, we use
vegetation indices of classified forests to characterize the state and dynamics of
vegetation. In most cases, different types of vegetation have different phonological
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