System for Automated Geoscientific Analyses (SAGA) v. 2.1.4

By Olaf Conrad, Benjamin Bechtel, M. Bock, Helge Dietrich, E. Fischer, Lars Gerlitz, J. Wehberg, Volker Wichmann, Jürgen Böhner. 2015

2,367 citations recorded by the source corpus.

Abstract. 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.

Subfields: Artificial Intelligence, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/1991d10ebbfaece3db22f268a92d9a2e8c51c414

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Citations in the corpus

Species-Distribution Modeling: Advantages and Limitations of Its Application. 2. MaxEnt (2021, methodology): “…standard geoinformation system (GIS) packages can be used for this, e.g., Delete Identical in ArcGIS 10.3, the Points Filter tool in SAGA (Conrad et al., 2015), the spThin package in R (Aiello-Lammens et al., 2015), or a tool implemented in the SDMtoolbox package that allows variation of…”
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (2018, methodology): “SAGA GIS (Conrad et al., 2015)275 offers a wide diversity of DEM derivatives that can be derived per location of interest.276 In this paper we only use Eucledean buffer distances (to all sampling points) to improve RFsp277 predictions, but our code could be adopted to include other families of geogr”
Large carnivore expansion in Europe is associated with human population density and land cover changes (2021, methodology): “Euclidean distance from urban areas was calculated in R using functions of the GIS software SAGA (Conrad et al., 2015).”
Soil carbon debt of 12,000 years of human land use (2017, methodology): “Topographic properties were derived using the System for Automated Geoscientific Analyses Geographic Information System (52) at finer resolution (250 m) and then resampled to 10-km resolution.”