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GRASS RESOURCES CLASSIFICATION AND EVALUATION 
BASED ON MULTI-DATA AND MULTI-CRITERION IN THE SOUTH OF CHINA 
Sun Jiabing , Li Deren 
Lu Jian , Guan Zequn , Ma Jiping 
( Wuhan Technical University of Surveying and Mapping ) 
ABSTRACT 
The computer classification of remote sensed data has made 
great progress and plays an important role in resources investiga 
tion. Unfortunately, the quantity and reliability of recognizable 
classes of ground objects are in many cases very limited, if only 
the spectral features of image are used. A better way is to simul 
taneously use many kinds of non-remote sensing data, such as DTM, 
geographic features, soil types, climate, relief, vertical and 
regional distribution of plants etc. , with remote sensing images. 
It can improve both the capability of recognition of ground object 
and the reliability of computer classification efficiently. 
Because non-remote sensing data are useally expressed in the 
form of maps,we must registrate them with remote sensed images and 
compound them with false colour image accurately.In this paper two 
methods of registration and compound are discussed . The first one 
is to compound the precisely rectified TM images with various 
kinds of map data, which is called MATCHING.The obtained photo map 
production can be used as the basis for thematic map of classifi 
cation results.The disadvantage of this method is that the radiant 
intensity will be degenerated after resampling. For this reason we 
use the second method called REVERSE-MATCHING which uses a reverse 
mathing function to registrate and compound the non-remote sensing 
data from map to original TM image for computer identification and 
classification. 
Both methods are combinedly used to investigate the grass re 
sources in area of Lichuan county of Hubei province. This investi 
gation will provide a scientific basis for the local government to 
develop and utilize grass resources and to plan and manage stock- 
farm. 
The investigation procedure , the important results and their 
accuracy and reliability are given in this paper.