Development of Digital Altitudinal Belts Identification System on. NET Platform
Geo-info Tupu methodology is a new direction for geographic researches, and it' s not only a way for presentation but also a method of analysis in geo-information science. Based on the idea of Geo-info Tupu and digital mountain altitudinal belts (digital MABs) , the objective of this paper is to construct the models of multi-scales spatial patterns in altitudinal belts and develop the digital framework that identifies the horizontal and vertical differentiation from multi-source data. According to three patterns of digital identification, i. e. , single flank, single peak and multiple peaks, this paper develops different algorithms using the Matlab programme. Contrasting the identification patterns, we indicate the relative merits among them in digital identification and Tupu visualization, and show clearly their special scale for the study regions. Based on the VB . NET platform, we build a programming system, named "Mountain Altitudinal Belts Digital Identification System" (MABsDIS) , which provides sev- eral modules with useful tool sets, such as data in-out module, data processing module and graphic plotting module. Using the MABsDIS software, the mountain altitudinal belts are identified from digital terrain models and digital vegetation data in the Helan Mountains, China. The study reveals that the digital identification of MABs could enrich the source materials of mountain researches and enhance the digital comparison and analysis method of MABs. And it also could reveal more geographical information than ever before and is an effective attempt for Geo-info Tupu practices.
NETL
NSTL
万方数据
维普
