Guest Storage Facility

In 2019, the PSA developed a new feature, the Guest Storage Facilty. This consists in an FTP file repository into which scientists from the planetary community can upload and share scientific products valuable for the community.


Scientific products to be hosted in the Guest Storage Facilty should be of interest for the planetary science community, and overall making use or presenting new products from ESA's planetary missions.
The format of the data is entirely up to the data producer choice.
The PSA only require the "Data User Guide" to be provided, the template can be downloaded here.
An associated scientific peer-reviewed publication associated to the products is encouraged

Inquiry to the PSA for storage

Potential data producers should get in touch with the PSA, either through their known contacts, the mission archive scientsist, or simply get in touch with us.
After initial contact, the PSA will then contact the data producers to formalize the process and provides credentials for the FTP access to upload the data.
A Digital Object Identifier (DOI) could be assigned to each delivery, this is an optional functionality that is also highly encouraged.

PSA review of the GSF

While the products are looked at by the archive scientists (i.e., not all one by one), no proper full scale peer reviewed scientific analysis are done.

Content of the Guest Storage facility

Title Date Description Product User Guide Missions and/or Targets Point of contact Digital Object Identifier (DOI)
UCL-MSSL_iMars_HRSC_V1.0 February 2019 A high spatial resolution (50m) Digital Terrain Model (DTM) and orthorectified Image (ORI) have been produced for the Martian South Polar Residual ice-Cap (SPRC)for 33 HRSC strips and the associated ORIs at 12.5m. In addition, a 50m DTM mosaic has been created alongside a 12.5m ORI mosaic. For the ORI mosaic, Individual HRSC image strips have been corrected for different surface scattering properties prior to mosaicing Link to the PUG MarsExpress

Jan Peter Muller

Alfiah Rizky Diana Putri


IPGP_Titan_Huygens_V1.0 August 2020 A new digital terrain model of the river networks observed at the Huygens landing site has been computed throughout a tailor made photogrammetric workflow, by using a set of overlapping, newly re-calibrated images acquired by the DISR cameras during the Huygens probe's descent. The resulting DTM (hereafter called IPGP-DTM) provides the best available spatial sampling of Titan's landscape (18 m) and increases the size of the reconstructed region up to 10.3 km². Link to the PUG Cassini-Huygens 

Chloe Daudon

Antoine Lucas

Sebastien Rodriguez


UCL-MSSL_iMars_CTX_V1.0 November 2020 High spatial resolution (18m) Digital Terrain Models (DTM) and (6m) orthorectified Images (ORI) have been produced covering the whole of Mars. The DTM products have been quality-controlled and where, available are co-registered to HRSC level-4 products. Link to the PUG Mars Reconnaissance Orbiter

Jan Peter Muller

Yu Tao


UCL-MSSL_Mars-CERBERUS_CTX-HiRISE-HRSC_V1.0 April 2021 1m HiRISE and 18m CTX co-registered 3D products (DTMs) and corresponding OrthoRectified Image (ORI) of 25cm and 6m respectively) of a terraced
crater in Cerberus Fossae employed to determine the thickness of lava+water ice overlying the buried streamlined island discussed in the paper. HRSC, CTX and HiRISE co-registered products are cropped over the terraced crater.
Link to the PUG MarsExpress

Jan Peter Muller

Si-Ting Xiong

Yu Tao


ESA-AURORA_67P-GEOMAP_OSIRIS_v1.0 May 2021 This dataset contains geological mapping of comet 67P/Churyumov-Gerasimenko northern hemisphere. They consist of global maps of the complete comet and regional maps of the individual geological regions. Maps are presented in different versions of the Qunincuncial Adaptive Closed Kohonen (QuACK) map projection. The geological features which have been mapped are also provided as shape files in the format of the Small Body Mapping Tool (SMBT).  Link to the PUG Rosetta

Sebastien Besse

Bjorn Grieger



November 2021 A high spatial resolution (50m) Digital Terrain Model (DTM) and 12.5m orthorectified Image (ORI) mosaics have been produced for the Martian Valles Marineris for 82 HRSC strips (11 from UCL fused with 71 from DLR). For the ORI mosaic, Individual HRSC image strips have been corrected for different surface scattering properties prior to mosaicing. Link to the PUG MarsExpress

Jan-Peter Muller
Yu Tao


November 2021 The JANUS instrument team at the German Aerospace Center (DLR) has created a new global mosaic of Jupiter's moon Ganymede from NASA Voyager and Galileo images with a spatial resolution of 359 m/pxl. Link to the PUG Voyager & Galileo

Elke Kersten
UCL-MSSL_Oxia-Planum_HRSC_CTX_HiRISE_MADNet_V1.0 2021 A multi-resolution DTM covering the 3-sigma landing ellipse of the 2020 for the Rosalind Franklin ExoMars rover mission. This unique dataset has been created using a novel deep learning technique called MADNet 1.0. This consists of a HRSC-DTM mosaic at 25m grid-spacing co-registered to MOLA DTM at 463m/grid-spacing. A 12m CTX DTM mosaic is co-registered to this HRSC 25m DTM. Finally a 50cm HiRISE derived DTM mosaic is co-registered to the 12m CTX DTM. Alongside this are the individual CTX 6m OrthoRectified Images (ORIs) and the 44 HiRISE 25cm ORIs Link to the PUG




Yu Tao

Jan-Peter Muller



2021 Four mosaics derived from 9 single ESA-TGO-CaSSIS panchromatic images: 1m greyscale and 1m colourised (using HRSC colour) image mosaics of Super Resolution Restoration (SRR) and derived 2m DTM from 1m SRR-panchromatic and 8m DTM from 4m CaSSIS panchromatic both using MADNet 2.0 deep learning. These products are all co-registered to the previously published products from HiRISE-CTX-HRSC which are themselves co-aligned with MOLA DTMs. These products cover the 3-sigma landing ellipse of the Rosalind Franklin ExoMars rover. Link to the PUG EM16/TGO CaSSIS

Yu Tao

Jan-Peter Muller



2022 This dataset is comprised of shapefiles, georeferenced to the simple cylindrical projection of Mars, hereafter SimpleCylindrical_Mars, of Martian fluvial valley networks mapped using High-Resolution Stereo Camera images (15 – 25 m per pixel) in a pole-to-pole strip located from 20°W - 20°E. The purpose of this dataset is to assess the conformity between valley orientation and surface slope direction. Links to the PUG

Mars Express / HRSC

Rickbir Singh Bahia     


2022 The JANUS instrument team at the German Aerospace Center (DLR) has created a new global mosaic of Jupiter's moon Ganymede from NASA Voyage, Galileo and Juno images with a spatial resolution of 359 m/pxl. Link to the PUG Voyager
Elke Kersten 10.57780/esa-fcj5pf3


2022 This dataset presents the geography of Oxia Planum, the landing site selected for the ExoMars Rover and Surface Platform mission. A collection of three datasets provide a framework to investigate this area. They are:
  1. A grid of quadrangles (quads) grouped into named geographic regions,
  2. A mosaic of Mars Reconnaissance Orbiters’ panchromatic (CTX) Digital Elevation Models and Ortho Rectified Images, and
  3. A mosaic of synthetic colour data products from the ExoMars Trace Gas Orbiter’s Colour and Stereo Surface Imaging System (CaSSIS).
Link to the PUG




Peter Fawdon 
Elliot Sefton-Nash
Csilla Orgel
Ines Torres 
UCL-MSSL_Moon_von_Karman_V1.0 2023 A large area 1m mosaic covering 260 km × 209 km and constituent orbital strips covering the whole of the von Karman crater on the lunar farside. These mosaics include a  Digital Terrain Model (DTM) at 1m and OrthoRectified Image mosaic (ORI) at 50cm based on 0.5-1.5m LROC-NAC single scenes. In addition, the context DTM (14m) and ORI (7m) image from Chang'E-2 global mosaic which was itself co-registered to the global LOLA+SELENE dataset (59m at 128 ppd). Generated using Single Height Estimation algorithm MADNet 2.0 originally trained for Mars but re-trained for the Moon using all available good quality LROC-NAC stereo pairs. 370 LROC-NAC scenes were selected and co-registered to the CE2 ORI mosaic. The von Karman crater is the location of the Chang'E-4 rover (Yutu-2). Link to the PUG LRO/LROC NAC    

Yu Tao

Jan-Peter Muller