Planetary geologic mapping and 3D geological modelling: from collaborative efforts to infrastructure
Geologic mapping is of key importance for planetary exploration, lander/rover mission target selection and planning and in situ characterization of landing sites and roving traverses.
The large heterogeneous base of data recently collected by planetary missions can now be analysed using an integrated approach, embedding traditional morphostratigraphic mapping with spectral units differentiation and three-dimensional geologic modelling, at multiple scales. In addition Virtual Reality can be effectively used as a tool for retrieving data essential for in situ geological maps.
International collaborative efforts for geologic mapping and 3D geological reconstructions can be tied to the new Europlanet infrastructure.
The session welcomes inputs on scientific mapping use cases, mapping-focused data fusion and integration, as well as tools and workflows that can specifically aid the planetary geologic mapping process, including 3D geo-modelling and VR activities.
Jack Wright, Matthew Balme, Joel Davis, Peter Fawdon, and David Rothery
Mawrth Vallis is generally considered to be the oldest of Mars’ outflow channels . It incises Noachian (> 3.7 Ga) terrain and is associated with thick (> 150 m), clay-bearing deposits . Clays are important astrobiologically because they are potential catalytic substrates for (pre)biotic chemistry  and have a high potential to preserve biosignatures . The presence of clay-bearing deposits was an important factor in the decision to shortlist an area adjacent to Mawrth Vallis as a candidate landing site for the ExoMars “Rosalind Franklin” rover , whose mission is to search for signs of ancient life on Mars . Ultimately, Mawrth Vallis was not selected as the ExoMars landing site.
The origin and geological context of the clay-bearing deposits is not well understood . Furthermore, the geomorphology of Mawrth Vallis, which records its history of deposition/burial and erosion/exhumation, is also less well-studied compared with its mineralogy. Here, we present our ongoing geological mapping of Mawrth Vallis, which we are conducting to investigate the relationship between the channel and the clay-bearing deposits. We are producing a detailed map of the main Mawrth Vallis channel adjacent to the proposed ExoMars landing ellipse. We will also produce an accompanying geomorphic feature map along the whole length of Mawrth Vallis at a smaller scale.
We are creating this map as part of the Planmap project , which aims to provide standards for European researchers to adhere to in order to aid the dissemination of their maps. Planmap is producing exemplar maps of Mercury [e.g. 9], the Moon [e.g. 10], and Mars [e.g. this work], where various datasets (visual images, elevation models, spectra, crater size-frequency distributions) will be fused to make more fully-intergrated geological maps. The abundance and diversity of data types at Mawrth Vallis, in addition to its scientific interest, make this region particularly suitable for Planmap.
We are using a ~6 m/pixel orthorectified CTX  mosaic basemap, supplemented by 25–50 cm/pixel HiRISE images , ~4 m/pixel colour CaSSIS images , and ~20 m/pixel CTX digital elevation models (DEMs).
We are mapping using ArcGIS 10.6.1. Mawrth Vallis spans 340°E–247°E and 18°N–26°N. We are mapping in a stereographic projection centred on 343°E, 22.4°N. We are digitising the main map on the CTX mosaic at 1:20,000-scale (~full CTX resolution), and intend to publish the map at ~1:100,000-scale. The geomorphic feature map will be published alongside the main map. We will use HiRISE and CaSSIS images to aid unit definition and CTX DEMs to aid stratigraphic interpretation.
Results and future work
Figure 1 shows the current state of our map.
We plan to begin work on the geomorphic feature map soon. Progress on the main map will continue in parallel. We will investigate the stratigraphic position of Mawrth Vallis relative to the large impact craters in the region. We will consider how the stubby depressions that occur with the main channel’s walls formed.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 776276.
 Ivanov and Head (2001) J. Geophys. Res., 106, 3275–3295.  Loizeau et al. (2007), J. Geophys. Res. Planets, 112, E8.  Hazen and Sverjensky (2010), CSH Perspect. In Biol., 2, a002162.  Farmer and Des Marais (1999), J. Geophys. Res. Planets, 104, 26977–26995.  Poulet et al. (2020), Astrobiology, 20, 199–234.  Vago et al. (2017), Astrobiology, 17, 471–510.   Massironi et al. (2018), Geophys. Res. Abs., 20, EGU2018-18106.  Wright et al. (2019), J. Maps, 15, 509–520.  Pöhler et al. (2020) Europ. Lunar. Sym., Abstract.  Malin et al. (2007), J. Geophys. Res. Planets, 112, E5.  McEwen et al. (2007), J. Geophys. Res. Planets, 112, E5.  Thomas et al. (2017), Space Sci. Rev., 212, 1897–1944.
How to cite:
Wright, J., Balme, M., Davis, J., Fawdon, P., and Rothery, D.: Geological mapping of Mawrth Vallis, Mars, by PLANMAP, Europlanet Science Congress 2020, online, 21 Sep–9 Oct 2020, EPSC2020-807, https://doi.org/10.5194/epsc2020-807, 2020.
Stéphane Le Mouélic, Gwénael Caravaca, Nicolas Mangold, Jack Wright, Cristian Carli, Francesca Altieri, Francesca Zambon, Carolyn Van Der Bogert, Riccardo Pozzobon, Matteo Massironi, Angelo Pio Rossi, and Barbara De Toffoli
Virtual Reality (VR, with headsets) and Augmented Reality (AR, using a smartphone or tablet) coupled with 3D photogrammetric reconstructions are increasingly used for science, education and outreach applications. These techniques are not new [e. g. 1, 2], but they are becoming progressively more widespread thanks to the release in 2016 of technologically mature and cost-effective hardware solutions accessible to the general public. In the field of planetology, VR and AR theoretically allow the possibility to simulate field trips to remote places that are otherwise inaccessible to humans. Using high-resolution imaging, coupled with spectral or morphological data gathered by robotic explorers (orbiters, landers, rovers), we can create integrated virtual environments that accurately represent the surface of planetary bodies and allow the cross-comparison of different datasets. These virtual environments provide the possibility to navigate on a global scale using orbital data, and move down to the surface when in situ data are available to visualize and analyze local outcrops. This is particularly the case of the Moon and Mars, where both extensive remote and groundtruth data are available [3, 4, 5].
We are investigating how the information from various sources can be combined in a comprehensive way to display, manipulate, analyze and share both analytical data and results. We have for example integrated visible high-resolution imagery, digital elevation and outcrop models, geomorphological maps and compositional maps derived from spectroscopic measurements on several test sites such as the Copernicus crater and Apollo 17 landing site on the Moon, the Crommelin crater and Kimberley area (Gale crater) on Mars, and the Hokusai quadrangle area on Mercury. The VR and/or AR rendering of simple orbital and/or ground-based 3D models can be performed using a web-based solution such as Sketchfab (e.g. https://sketchfab.com/LPG-3D or https://sketchfab.com/planmap.eu), offering the possibility to visualize, interact, and share medium-resolution 3D versions of these multi-scale data (Fig. 1a and 1b). The use of a more powerful and versatile solution based on a game engine  allows the development of more complex solutions, for example dedicated measurement tools (Fig. 1c) or multi-layering capabilities (Fig. 1d). These approaches offer new possibilities in terms of data exploration, analysis, and applications for research and education during “virtual planetary field-trips”.
Acknowledgments: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 776276 (PLANMAP).
 McGreevy (1993), M.W. Virtual reality and planetary exploration. In Virtual Reality; Elsevier: Amsterdam, The Netherlands,; pp. 163–197, ISBN 0-12-745045-9.
 Favalli, M. et al. (2012), Multiview 3D reconstruction in geosciences. Comput. Geosci. 2012, 44, 168–176.
 Ostwald, A.; Hurtado, J. 3D models from structure-from-motion photogrammetry using MSL images: Methods and implications. In Proc. of the 48th LPSC, The Woodlands, TX, USA, 2017. LPI Contribution No. 1964, id.1787.
 Caravaca, G. et al. (2020) Planet Space Sci, 182, 104808, DOI: 10.1016/j.pss.2019.104808
 Le Mouélic, S. et al. (2020) Remote Sensing, 12 (11), DOI: 10.3390/rs12111900
How to cite:
Le Mouélic, S., Caravaca, G., Mangold, N., Wright, J., Carli, C., Altieri, F., Zambon, F., Van Der Bogert, C., Pozzobon, R., Massironi, M., Pio Rossi, A., and De Toffoli, B.: Using Virtual and Augmented Reality in Planetary Imaging and Mapping – a Case Study, Europlanet Science Congress 2020, online, 21 Sep–9 Oct 2020, EPSC2020-589, https://doi.org/10.5194/epsc2020-589, 2020.
Claudia M. Poehler, Mikhail A. Ivanov, Carolyn H. van der Bogert, Harald Hiesinger, Wajiha Iqbal, Jan Hendrik Pasckert, Jack Wright, and James W. Head
Introduction: The lunar South Pole-Aitken basin (SPA) is of special interest for human and robotic missions for the near future [e.g. 1–4]. This makes detailed studies of the geological background and setting of the region a high priority. Located on the lunar farside, centered at ~53° S, 191° E, SPA basin is the largest and likely the oldest lunar basin [5-7]. The region is widely influenced by rays of the ~3.85 Ga old Orientale basin .
In this study, we constructed a geologic map of the full extent of the SPA basin, covering the South Pole, and extending eastward to include part of the Orientale basin (Fig. 1). Altogether, this provides a comprehensive overview of the geology of the region.
Methods: This map, which is an extension of an Apollo basin map , was done as part of the PLANetary MAPping (PLANMAP - H2020 n°776276) project (https://planmap.eu/). For large scale mapping, we used the Lunar Reconnaissance Orbiter (LRO) Wide-Angle Camera (WAC) basemap (100 m/pixel). For more detailed, smaller areas, and for identifying specific features, we used LRO Narrow-Angle Camera (NAC; 0.5 m/pixel)  and Kaguya (10 m/pixel) data with different incidence angles. We also used a hybrid spectral mapping technique using Clementine , M3  and Kaguya MI  data. The topographic features were mostly mapped using Lunar Orbiter Laser Altimeter (LOLA) digital elevation models (DEMs) and a LOLA/Kaguya merged DEM with a resolution of 59 m/pixel . To reduce shadows, particularly in the southernmost latitudes, we produced hillshade maps with various illumination conditions. We used PLANMAP mapping standards , which are based on USGS standards .
We identified units using morphological appearance and albedo contrasts. The mapping scale is 1:500,000. For the purpose of determining the stratigraphic relationships, we first established the relative ages of units using morphological evidence. For an absolute stratigraphy, we then performed crater size-frequency distribution (CSFD) measurements for fitting of absolute model ages (AMAs) using the production and chronology functions of . CSFD measurements were made using CraterTools  in ArcGIS, and we fit the AMAs with Craterstats . Detailed descriptions of the CSFD measurement technique are given by [17, 20]. The Apollo basin map is currently available on the PLANMAP website (https://data.planmap.eu/pub/moon/PM-MOO-MS-SPAApollo/) and the map of SPA will be available shortly.
Geology: In our study area, we defined three classes of geologic features: Basin materials, crater materials, and plains-forming materials. Basin materials are related to the formation of the large basins in the area with the oldest and most dominant being the SPA. We also specifically identified materials related to Apollo, Schrödinger, and Orientale Basins. Crater materials are divided into different classes according to the state of degradation and shape of the craters. For achieving a framework for the absolute chronology, we determined AMAs for several key craters. Plains-forming materials are characterized by their relatively flat, smooth surfaces and can be further divided into dark and light plains based on their albedo. Furthermore, we observed dark mantle material, which might be originate from pyroclastic volcanic events. These mantle materials occur most prominently in Schrödinger and Oppenheimer craters.
The SPA basin rim is obscured by various later impacts and is degraded due to its old age. The most distinctive appearance of the SPA basin rim is in the NW quadrant, close to the Apollo basin. Here, we identified two topographic rings of SPA basin rim massifs. Around the South Pole, image quality is lower and features become obscured by the low sun angle. We were able to find traces of the outer massif, but most of the inner massif is hidden below younger craters. The whole region is large influenced by the Orientale basin-forming impact, resulting in large quantities of ejecta-covered terrain and secondary cratering across the entire SPA basin.
Acknowledgments: This paper is part of a project that has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement Nº776276 (PLANMAP).
References:  Flahaut et al. (2019) PSS., in press.  Steenstraet al. (2016) Adv. Space Res. 58, 1050–1065.  Allender et al. (2018) Adv. Space Res. 63, 692–727.  Hiesinger et al. (2019) LPSC 50, 1327.  Garrick-Bethell and Zuber (2009) Icarus, 204, 399–408.  Hiesinger et al. (2012), LPSC 43, 1659.  Fortezzo et al. (2020), LPSC 51, 2760.  Stuart-Alexander (1978) USGS Map I-1047.  Ivanov et al. (2018) JGR Planets, 123, 2585–2612.  Robinson et al. (2010) Space Sci. Rev., 150, 81–124.  Pieters et al. (1994). Science, 266, 1844–1848.  Isaacsom et al. (2013). JGR, 118, 369–381.  Ohtake et al (2013) Icarus, 226, 364–374.  Barker et al. (2016) Icarus, 273,346-355.  wiki.planmap.eu/display/public/D2.1-public.  FGDC (2006). FGDC-STD-013-2016.  Neukum et al. (2001) Space Sci. Rev. 96, 55–86.  Kneissl et al. (2011) PSS, 59, 1243–1254.  Michael and Neukum (2010) EPSL, 294, 223–229.  Hiesinger et al. (2000) JGR, 105, 29239–29276.
How to cite:
Poehler, C. M., Ivanov, M. A., van der Bogert, C. H., Hiesinger, H., Iqbal, W., Pasckert, J. H., Wright, J., and Head, J. W.: The Lunar South Pole-Aitken Basin Region: A New Geological Map , Europlanet Science Congress 2020, online, 21 Sep–9 Oct 2020, EPSC2020-600, https://doi.org/10.5194/epsc2020-600, 2020.
Francesca Zambon, Cristian Carli, Francesca Altieri, Jean-Philippe Combe, Carolyn H. van der Bogert, Claudia Pöler, Harald Hiesinger, Stephane Le Mouélic, Nicolas Mangold, Gwénaël Caravaca, and Matteo Massironi
South Polar Aitken (SPA) is the largest and deepest basin on the Moon [1, 2], and several regions within this widespread basin have been considered as possible landing sites for present and future missions. Some of these sites are also targets of the H2020 n° 776276- PLANMAP project . In this work, we focus on specific areas within SPA, Apollo basin, Lebinitz and Von Karman craters regions (see fig. 1). For our analysis, we considered the M3/Chandrayaan-1 data , after the application of the last calibration, thermal removal and photometric correction [5, 6].
SPA is rich in high Ca-pyroxenes, except for some central crater peaks, where low Ca-pyroxenes dominate, and no extensive olivine-rich areas are observed [1, 7, 8]. Based on the spectral characteristics on the M3 spectra, we define specific spectral parameters, such as band centers, depths, spectral slopes, including selected RGB color composite combinations . These indices are the starting point for retrieving the spectral units of the regions considered. The final aim of this work is to find a link between spectral, and morpho-stratigraphic units  to reach out highly informative geological maps of the Moon. This innovative approach holds the efforts of different research units and is one of the main goals of the PLANMAP project.
References:  Ohtake, M. et al., 2014, GRL.  Moriarty, D.P. et al., 2018, JGR.  https://www.planmap.eu/,  Pieters et al., 2009, Current Science.,  PLANMAP D4.3- Spectral Indices and RGB maps.  Besse, S. et al., 2012, Icarus.  Dhingra, D., 2018, Geosciences.  Melosh, H. J., et al., 2017, Geology.  Ivanov, M.A., 2018, JGR.
Acknowledgments: This work is funded by the European Union’s Horizon 2020 research grant agreement No 776276- PLANMAP.