Geo-info Tupu methodology is a new explored direction for geography

and it’s not only a way for presentation but also a method of analysis in geo-information science.Mountain altitudinal belts（MABs） are distributed at different elevations in high mountains

mainly owing to varying climatic conditions as altitude increases.The MABs is combined in various vertical "spectra"

and is the representative Geo-info Tupu because of its characteristics

but its data sources and presentation patterns are limited by the classical research methods.It is difficult to deal with altitudinal belts and to illustrating their patterns at different scales with traditional techniques.In this paper

we discuss the digitalization and visualization of the MABs with a view of fulfilling the identification of the MABs in the way of computerization.Based on the idea and system of Geo-info Tupu and digital mountain altitudinal belts

this paper discusses the digital identification method of the MABs and constructs feasible technical programmes.The data sources of the digital identification of the MABs are vegetation maps

and the products of our arithmetics would be distribution patterns of altitudinal belts.The paper provides two models of digital identification for the MABs at different geographical scales

such as the single flank pattern and the single peak pattern.We have fulfilled the digital identification of the MABs in the northern flank of the Kunlun Mountains with the arc macro language（AML）

and the result responds to the structure-thinning model which has been validated by some scientific reports.The arithmetic of single flank is applicable in the long and narrow mountain system

which could provides the general information and distribution patterns of the altitudinal belts.The paper also shows our efforts in the digital identification of the MABs in 360°aspects by using Matlab programme.This method of identification provides the single peak pattern of the MABs relative to the single flank pattern.It helps us develop the object-oriented software because this arithmetic has its capability in flexibility and speed

especially used in large areas.In addition

the paper briefly introduces the potential capabilities of the Matlab programme which could resolve the problem of identifying the upper and lower limits of the MABs.By comparing the two methods

we indicate the relative merits of the different techniques in digital identification and Tupu visualization

and show clearly their spatial scale for the study regions.The MABs from the digital identification have an agreement with those from the field notes in the Daqing Mountains

and the accuracy of the MABs from digital identification is decided by the original vegetation maps.In other words

the digital identification of the MABs is a process of data integration and information digging without appending unnecessary information.If we obtained more refined vegetation maps as from higher resolution images

we could enhance the accuracy of the MABs to a more satisfactory degree.The study reveals that the digital identification of the MABs could enrich the source materials of mountain researches and enhance the digital comparison and analytic methods of the MABs.The digital identification models of altitudinal belts could potentially help standardize the understanding of altitudinal belts and their relation to various environmental factors.And it also could reveal more geographical information than ever before and is an effective attempt for Geo-info Tupu practices.