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This is a list of free and open-source software for geological data handling and interpretation. The list is split into broad categories, depending on the intended use of the software and its scope of functionality. Notice that 'free and open-source' requires that the source code is available and users are given a free software license.
The software incorporates a user interface for building, running and viewing the results of models, including a GIS map interface. The software has been independently benchmarked [ 1 ] by the Environment Agency and is used extensively [ 2 ] to undertake modelling of flood risk, [ 3 ] develop flood risk management schemes and provide flood ...
Geoinformatics is a scientific field primarily within the domains of Computer Science and technical geography. [ 1 ] [ 2 ] It focuses on the programming of applications, spatial data structures , and the analysis of objects and space-time phenomena related to the surface and underneath of Earth and other celestial bodies.
In geology, a backswamp is a type of depositional environment commonly found in a floodplain. It is where deposits of fine silts and clays settle after a flood. These deposits create a marsh-like landscape that is often poorly drained and usually lower than the rest of the floodplain. [1] Levees form as a result of the flooding process.
Scilab - free open-source software for numerical computation and simulation similar to MATLAB/Simulink. Sim4Life.lite - online version of Sim4Life that is free-of-charge for students for team-learning and online collaboration with classmates and teachers on limited size projects.
Paraná River floodplain, at its confluence with the headstream of the Paranaíba (on the right) and the Verde River, near Panorama, Brazil A floodplain after a one-in-10-year flood on the Isle of Wight Gravel floodplain of a glacial river near the Snow Mountains in Alaska, 1902 The Laramie River meanders across its floodplain in Albany County, Wyoming, 1949 This aggradational floodplain of a ...
Applications of machine learning (ML) in earth sciences include geological mapping, gas leakage detection and geological feature identification.Machine learning is a subdiscipline of artificial intelligence aimed at developing programs that are able to classify, cluster, identify, and analyze vast and complex data sets without the need for explicit programming to do so. [1]
The terms river morphology and its synonym stream morphology are used to describe the shapes of river channels and how they change in shape and direction over time. The morphology of a river channel is a function of a number of processes and environmental conditions, including the composition and erodibility of the bed and banks (e.g., sand, clay, bedrock); erosion comes from the power and ...