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The main goal of REM is to define clearly the area statistics 
of renewable resources and land, especially cultivated 
land, built-up area, forest, pasture, unused land, and the 
environmental variations, including such factors as 
temperature, humidity, landscape. The transferring of the 
sophisticated technology of remote sensing to local 
administrative agencies is an adjunct to the main objective. 
The results will be managed by a sophisticated and specific 
GIS, with friendly interface, to be easily handled by local 
administrators and planners. Mapping scale is 1 : 250,000 for 
agriculture-intensive area and 1: 500, 000 for remote and 
sparsely settled area. 
A standard classification system is used to enable the 
comparison and the coherence of information resulted. A 
code system specific for the project was standardized to 
save storage space and handle information conveniently on 
the same criteria. The Table 2 shows the classification 
system. 
  
  
  
  
  
First Level Second Level 
Code | Name Code | Name 
1^ Land 
A 12 | Dry land 
21 Forest 
  
2 Forest Land 22 Shrubs 
  
  
  
23 | Other 
31 Grassiand with high 
coverage 
3 Grassiand 32 Grassland with 
moderate coverage 
Grassland with low 
coverage 
41 Rivers and canals 
  
33 
  
  
42 | Lake 
  
43 | Reservoir and pond 
  
  
  
  
  
  
  
  
  
4 Water 44 Glacier and 
permanent snow 
45 Tided coast 
46 | Floodplain 
City, 51 | City and township 
township, 
5 mills, 52 | Mills and mines 
mines, and 
settlements 53 | Other 
61 Dunes 
62 | Gobi 
Saline and alkaline 
63 
land 
  
6 Unused Land 64 | Swamp 
  
  
  
65 Bared soil 
Bare rock and 
66 
gravel 
67 other 
  
  
  
  
  
  
Table 2. The Classification System for Resources 
813 
A similar procedure to that for the DRSS project is used in 
the REM project, but more sophisticated on the items 
considered compensated. All the subcategories at second 
level are compared cross-linkedly based on the information 
extracted on some high resolution photos taken by the 
sensors of satellite Pioneer 1 of China, which find back the 
lost information up to the accuracy achieved on the scale of 
about 1:100,000. 
To assign the value of environmental background more 
efficiently to each basic polygon that represents the 
minimum geographical unit with homogeneous attributes of 
environmental features, the basic polygon, or geographical 
unit, is derived from the overlay analysis of each 
environmental factor, including temperature, humidity, 
surface material, and terrain feature. The categories are 
shown in Table 3. This enables the advantageous use of 
the-art-of-the-state techniques simplified by any well- 
developed geographical information system. 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
Temperature iain as Terrain feature 
Code| Type Code| Type |Code| Type |Code| Type 
1 | Tropical 1 | Sultry a | Clay A | Mountain 
3 aon se alm [A boy 
(| eee là [aid | a | Gravel | as Mns 
S bi S [a ne [Rok MM S 
y | emp A5 | Karst 
7 avete B | Hills 
8 | Chilly B1 | Loss hl 
9 | Frigid B2 | High hill 
B3 | Mid. hill 
B4 | Low hil 
B5 | Karst hill 
B6 | Sand dunes 
C | Terrace 
C1 | High 
C2 | Moderate 
C3 | Low 
D | Plain 
D1 | Undulated 
D2 | Slant 
D3 | Flat 
D4 | Lowland 
D5 | Upland 
  
  
  
  
  
  
  
  
  
  
Table 3. Types of Environmental Factors 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996