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With the development of network technology and multi-source, massive spatial information processing, and spatial information application services (SIAS), we are proceeding towards distributed and network-based directions. Many SIAS focus on the issues of distributed spatial data integration and sharing in a web-based environment. However, in geological applications, compared with data sharing, data...
This paper presents a framework for human-computer interaction (HCI)-based geological interpretation of remote sensing images in circumstance of cooperative work. Since image interpretation application tasks often turn out to be a heavy workload, timely, tight, and quality demanding, it is too overwhelming for the conventional work mode which typically involves single interpreter and isolated computers...
In various geological applications of remote sensing, large amounts of data processing and mapping are demanded and there are inevitable problems such as managing data in different databases and working across different operating systems. Cross-platform GIS is an effective strategy for solving such problems. Based on the ideas of cross-platform software porting and module integration, this paper firstly...
Heuristic and statistical models are both important models of landslide susceptibility mapping. Experts' Scoring Model (ESM) and Generalized Linear Model (GLM), typical heuristic and statistical models respectively, are adopted to carry out a case study of Shenzhen where landslides are increasingly serious. The outputs of the two models obviously differ in terms of receiver operating characteristic...
Precipitation is an important meteorological element widely used in rainfall-induced landslide forecasting. Most existing studies on rainfall-induced landslide forecasting focus on the determination of forecasting models and parameters. Five transformation methods of precipitation are evaluated in this paper to improve the forecasting models through a case study of Shenzhen, based on rain gauge observation...
Landslide susceptibility zonation is essential for disaster management and control in mountainous regions. Most landslide susceptibility zonations up to now are pixel-based and somehow are impracticable in landslide hazard management. In this paper, we propose a procedure for slope unit-based landslide susceptibility zonation with a case study of Shenzhen, China. First, the flat terrain is removed...
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