IGMAS+ is a software for 3-D modelling of potential fields and its derivatives under the condition of constraining data and independent information. It comes with tools for forward and inverse modelling. IGMAS+ has a long history starting 1988 with the basic and key publication of Götze and Lahmeyer and has seen continuous improvement since then with input by many contributors (publications). Since 2019, IGMAS+ is maintained and developed at The Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences by the staff of Section 4.5 – Basin Modelling and ID2 – eScience Centre with strong ongoing support by H.-J. Götze and S. Schmidt from CAU Kiel.
IGMAS+ is an important and user-friendly tool for scientific and industrial stakeholders who need an integrative and multi-disciplinary analysis of spatial variabilities in the subsurface and want to contributes to the sustainable use of georesources.
IGMAS+ includes features as:
- Interactive 3D modelling of potential fields: gravity and magnetics
- High performance due to parallelisation and hardware acceleration
- User friendly graphical interface with powerful customization and timeline-based project management
- Cross-platform implementation
- Support of spherical modelling and visualization on the globe with WorldWind, usage of WMS map service of GFZ Potsdam
- Long history: over 40 years of development
- Extensive documentation online and in print
- World-wide user community
What makes IGMAS+ highly efficient and user-friendly is that it allows adjusting the geometries and physical properties of modelled subsurface bodies interactively, i.e. while the corresponding calculated and measured potential field components are visualized together with independent observations. An extensive user manual as well as an interactive online workflow guide through the various functionalities IGMAS+ offers.
A timeline based project management allows a user to navigate through different time with a model and data. It implements a structured project directory that keeps the chronology of valuable information about model changes. Such functionality is used to recover any previous model state.