2. The physical Principles of Macroscopic Effect
The Macroscopic effect RS information may be explained by the interference property of electromagnetic wave: if there is frequency wave v made up of a plenty of homochromatic waves, between v₀ to v₀+Dv, random overlay of each part may result in change of composing field.

Definition: After a Dt interval in interference time, there is a circle between waves v₀ and v₀+Dv:

v₀+Dv+1= (v₀+Dv)/ Dt ® Dv Dt=1 ® Dt=/1Dv (1)
the definition of inference length is :

DL=CDt=C/Dv (2)
If there is systematic relationship between two waves of radiant point, which are interfered, and the extent of composed wave is between the sum and the difference of them. Say mathematically, if E1 (t) and E2 (t) are two part field, composed field is

E(t)=E₁(t)+E₂(t) (3)
Average power is :


If two waves are not interfered, then, and P=P1+P2 : if do, To the later,

P<P₁+P₂
P<P₁+P₂ (at some places)
P>P₁+P₂
P>P₁+P₂ (at the other places)
In a word, the sum of two interfered part fields may larger than that of each of them. Obviously, many faint radiant points may bring out much stronger signs of composed field. The theory may be used to explain the reason why radiantly faint points may be clearly shown in RS imageries. For another sample, in order to explain the very brightness of plenilune, people firstly explain by geometrical optic principles that the shadow of high objects affects the brightness. But after measuring the spectral reflectance of soil samples brought back from the Moon by Apollo, man found that the brightness could not completely result from the reflectance. By measuring the change of the ratio of linear polarization and rotated polarization according to the direction change of observation, Hapke proved that interference enhance in NM-space is the true contribution to the brightness of plenilune.

2. The Geo-comprehensive and model of Macroscopic Effect.
The earth space information is a huge knowledge systems with typical various grid structure. RS information also has time, preciseness and uncertainly property. The feature information is very important. The experiment above shows that many traces and geological elements have great linear correlation with environment. The interference of various scales can expose the slightly and consistence property of various geological events, Spectral and space properties are shown in RS information. The result of a geological event (mineralizing functions), is a complex function of type, proportion, size , form, the kinds of space distribution combination and density. There may be a function [2].

Px=f(m, s, h, o, p)
In the function, is a index of spectral feature and may be regarded as a function f of type, proportion (m), size (s), form(h), space distribution direction (s) and space density (o).

The function represents the common comprehensive of knowledge elements of RS information: spectral feature (Hue)-object ingredients, space feature (texture)-structure (sh, s, o, p). There exist kinds geometrical relationship in respect to their distribution. RS information structure system of mineral resource modeled by object comprehensive is as follows (Figure 2).


Figure 2. The RS Information System of Solid Mineral Resource.
RS information is made of three-sub-system information: object ingredient, structure(texture) and situation (relative place and geometrical construction). Object ingredients refer tot the object ingredients of the earth, including stratums, rocks, minerals and alluvium. Structure system refers to kinds of space structure of objects in the earth, including fracture, cranny and topography. Situation system includes ingredients, space situations of structures, combination and space constriction relationship etc, which are all controlled by geological principles.

Each of the three sub-systems is independent and relative to the others. The various scale series in or between the sub-systems form the complex level net structure of RS space information. As shown in figure 2, spectral features and space features of RS information, two basic elements of RS imageries, may be measured quantitatively or half-quantitatively and are the main feature information measured and dealt with by RS techniques. Situation features belonging to geographical knowledge, can not be operated by present RS image processing techniques. Each part of the three sub-systems is indispensable element for describing the features of geological events, to build up corresponding RS identification spectrums made up of color (Hue)- from (structure)- event (background), and to integrate all kinds of relative geological information, obvious or faint, whole or fragmentary, direct or indirect and then to expose geological principles in the elements. The double effects of the information space properties of RS, similar to the relationship of the specialty and common specially of an object showing the two sides of an object, showing the two sides of an object, results in two exploration research methods. For the various geological objects and phenomenon the microscopy research of RS information emphasizes on the composition, an isotropic property, mineralizing alteration and other concrete properties of object belonging to analysis methods. On the contrary the Microscopic effect research of RS information, based on the research on the macroscopic properties of kinds of geological elements (targets), obtains integrated properties of higher levels, in addition tot the relationships of kinds of geological elements, belonging to comprehensive methods.