GMAP – Geologic Mapping of Planetary bodies
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GMAP – Geologic Mapping of Planetary bodies

GMAP (Geologic MApping of Planetary bodies) integrates partners and outputs from two projects previously funded by the EU through Horizon 2020 (UPWARDS and PLANMAP) to deliver tools and services for geological mapping of any Solar System body.

The infrastructure created through GMAP will support future European missions in developing orbital acquisition strategies, rover deployment and traverses, and human exploration programmes.

To date only USGS has provided planetary geological maps on a regular basis and no other permanent infrastructure in the world supports and integrates these valuable products with new innovations (e.g. georesource maps, stratigraphic maps, 3D geomodels). GMAP is thus an important new infrastructure for Europe and will be able to cover any aspect of geological mapping of any Solar System body .

GMAP will deliver interactive web-access for geological mapping and production of innovative sets of geological maps. In addition, GMAP will produce Digital Elevation Models (DEM) and Digital Outcrop Models (DOMs) and 3D geological models from geological maps, which can be used to infer geological structures in the otherwise inaccessible subsurface – important information in the investigation of potential resources on other planetary bodies.

GMAP includes external collaborations using commercial and open access software normally dedicated to 3D remodelling of reservoirs or mining districts.

Contact:

Coordinator: Matteo Massironi, Università degli Studi di Padova – Dipartimento di Geoscienze.

Deputy coordinator: Angelo Pio Rossi, Jacobs University Bremen – Department of Physics and Earth Science.

Europlanet 20204 RI’s GMAP Virtual Access Service and Joint Research Activity are coordinated by the Università degli Studi di Padova and Jacobs University Bremen with input from DLR, INAF, the Polish Academy of Sciences, Università degli Studi “G. d’Annunzio” Chieti – Pescara, the Chinese University of Geosciences, Wuhan University, Shandong University, Peking University and the Italian Geological Service.


Find out more about Europlanet 2024 RI’s other Virtual Access services and tools:

VESPA

SPIDER

Machine Learning


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