The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008 
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3.2 Research methods and technique flow 
Technique flow of remote sensing application based on Chinese 
satellites in Siberian area can be seen in figure 2 as below. It 
includes 6 steps. 
Figure 2. Technique flow of Chinese satellite research 
3.2.1 Collect the basic and related data resources in 
Siberian area: Data collection is the basis of integrated, 
synthesis and quantificational remote sensing analysis. Related 
Chinese satellites are collected in this area, such as CBERS-02 
images, Beijing-1 images, FY images, and so on. Besides 
remotely images, related multi-scale and sources data are also 
collected, such as terrain data, social economic data, historical 
investigation data, and related serial data in local field stations, 
etc. 
3.2.2 Regional land use/cover remote sensing monitoring 
research: According to the land resources classification system 
based on remotely sensed data, land use/cover monitoring 
techniques are researched. This study is based on CBERS-1, 
CBERS-2 images. We used land use classification system 
developed by Chinese Academy of Sciences (Liu Jiyuan, et al, 
2003), which is a hierarchical classification system of 25 land 
cover classes. The 25 classes of land cover were grouped 
further into 6 aggregated classes of land cover, i.e., croplands, 
woodlands, grasslands, water bodies, built-up areas and unused 
land. 
Research Points 
1. Geometric correction method for CBERS in Siberian 
area. 
thermal spectrum bands. For example, FY-2 images are selected 
as the main data resources in this research. Their data features 
are listed as below. 1 2 
1. Visible Spectrophotometer (VIS): Spatial resolution 
1.25km, temporal resolution 1 hour, spectrum scope from 
0.55 to 1.05p.m. 
2. Thermal Infrared (TIR): Spatial resolution 5 km, 
temporal resolution 1 hour, spectrum scope from 10.5 to 
12.5pm. 
2. GCP numbers and its error evaluation report. 
3. Image processing techniques, including band 
combination, signature enhancement, image extraction 
techniques, etc. 
4. Classification techniques based on CBERS-02, etc. 
3.2.3 Regional environmental background values 
extraction and parameter inversion techniques research: 
Extraction of the regional ecological background information or 
products will provide parameter support for regional ecological 
environment evaluation. These information or products mainly 
focus on the index of regional ecological environment, such as 
land ecological classification products, vegetation condition 
products (e.g., vegetation Index, Leaf Area Index, etc.), ground 
energy balance products (temperature, radiation, etc.), water 
balance products (transpiration, soil moisture, etc.), and Net 
Primary Productivity, etc (Jiang Dong, et al,2002). 
3.2.4 Regional ecological environment evaluation 
techniques research: Remote sensing monitoring and 
information extraction will provide data resources for 
ecological environment. Based on the land cover classification 
data and energy & water balance parameters extracted above, 
the paper used D-PSE-R (Driver-Pressure, State, and Exposure- 
Response) model to evaluate the Siberian area regional 
ecological security. 
3.2.5 Satellite spectrum features analysis: Through the 
compare with Chinese satellite monitoring techniques, 
ecological background extraction and parameter inversion 
techniques, ecological environment evaluation techniques, 
analyze the image spectrum features, establish the image 
satellite spectrum database, and provide reference for Chinese 
satellites’ global application. 
3.2.6 Data quality control and standardize processing: 
Quality and accuracy is the basis of data product of Chinese 
satellite for its widely application. ISO standards and technique 
specifications are implemented in the research. These standards 
include “ISO 19113 geographical information quality basic 
element”, “ISO 19114 geographical information quality 
evaluation procedure”, “ISO 19115 geographical information 
metadata”, “ISO 19138 geographical information data quality”, 
“ISO 19139 geographical metadata execute specification”, etc. 
3.3 Regional ecological background parameter inversion 
techniques study 
3.3.1 Data resources 
Meteorological satellites are good data resources for regional 
ecological background parameter inversion because they have 
3. Water Vapour (WV): Spatial resolution 5 km, 
temporal resolution 1 hour, spectrum scope from 6.2 to 
7.6pm.