System for Automated Geoscientific Analyses (SAGA) v. 2.1.4
System for Automated Geoscientific Analyses (SAGA) v. 2.1.4
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DOI：
10.5194/gmd-8-1991-2015
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发表时间：
2015-01-01
影响因子：
5.1
通讯作者：
Boehner, J.
中科院分区：
文献类型：
--
作者：
Conrad, O.;Bechtel, B.;Boehner, J.
自动化地球科学分析系统（SAGA）是一个开源的地理信息系统（GIS），主要使用GNU通用公共许可证。自2004年首次发布以来，SAGA已经从一个专门的数字地形分析工具迅速发展成为一个全面的、全球建立的科学分析和建模的GIS平台。SAGA是用c++编写的，采用面向对象的设计，可以在多种操作系统下运行，包括Windows和Linux。模块化软件架构的主要功能特征包括一个用于开发和实施新的地球科学方法的应用程序编程接口，一个带有许多可视化选项的用户友好图形用户界面，一个命令行解释器，以及像R和Python这样的解释性语言的接口。当前的2.1.4版本提供了600多个工具，这些工具在可动态加载的库或共享对象中实现，并代表了SAGA在地球科学等众多领域的广泛范围。在本文中，我们将介绍系统的体系结构、功能以及当前的开发和实现状态。此外，我们在对已发表研究的回顾中强调了SAGA的广泛科学应用，特别强调了数字地形分析、地貌学、土壤科学、气候学和气象学以及遥感的核心应用领域。
The System for Automated Geoscientific Analyses (SAGA) is an open source geographic information system (GIS), mainly licensed under the GNU General Public License. Since its first release in 2004, SAGA has rapidly developed from a specialized tool for digital terrain analysis to a comprehensive and globally established GIS platform for scientific analysis and modeling. SAGA is coded in C + + in an object oriented design and runs under several operating systems including Windows and Linux. Key functional features of the modular software architecture comprise an application programming interface for the development and implementation of new geoscientific methods, a user friendly graphical user interface with many visualization options, a command line interpreter, and interfaces to interpreted languages like R and Python. The current version 2.1.4 offers more than 600 tools, which are implemented in dynamically loadable libraries or shared objects and represent the broad scopes of SAGA in numerous fields of geoscientific endeavor and beyond. In this paper, we inform about the system's architecture, functionality, and its current state of development and implementation. Furthermore, we highlight the wide spectrum of scientific applications of SAGA in a review of published studies, with special emphasis on the core application areas digital terrain analysis, geomorphology, soil science, climatology and meteorology, as well as remote sensing.