The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
System for Automated Geoscientific Analyses (SAGA) v. 2.1.4
Open accessAbstract
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.
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Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
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Soil carbon debt of 12,000 years of human land use
Sanderman, J., Hengl, T., & Fiske, G. J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1706103114 · Cited by 1,495
TWI computation: a comparison of different open source GISs
Mattivi, P., Franci, F., Lambertini, A., & Bitelli, G. (2019) · Open Geospatial Data, Software and Standards · doi:10.1186/s40965-019-0066-y · Cited by 151
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Novel Approach for Ranking DEMs: Copernicus DEM Improves One Arc Second Open Global Topography
Bielski, C., López-Vázquez, C., Grohmann, C. H., Guth, P. L., Hawker, L., Gesch, D., Trevisani, S., Herrera-Cruz, V., Riazanoff, S., Corseaux, A., et al. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3368015 · Cited by 85
Metadata
- Authors
- Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., & Böhner, J.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2015-07-07
- Volume
- 8
- Issue
- 7
- Pages
- 1991-2007
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W4211056572
- Cited by
- 2,614
- References
- 1
- FWCI
- 85.73
- Type
- journal article
- Language
- en
- Open access
- gold
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- Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., & Böhner, J. (2015). System for Automated Geoscientific Analyses (SAGA) v. 2.1.4. Geoscientific Model Development. https://doi.org/10.5194/gmd-8-1991-2015
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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