Large Area High-Resolution 3D Mapping of Oxia Planum: The Landing Site for the ExoMars Rosalind Franklin Rover

Tao, Yu; Müller, Jan-Peter; Conway, Susan J.; Xiong, Siting

doi:10.3390/rs13163270

Cited by 12 publications

(51 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast to the ground-based MDE tasks, single-image DTM estimation tasks using Mars orbital imagery [5][6][7] is different in many aspects. Firstly, the sizes of the target input images are different.…”

Section: Previous Workmentioning

confidence: 99%

“…For example, the publicly available NASA Planetary Data System (PDS) 1-2 m/pixel HiRISE DTMs (https://www.uahirise.org/dtm/, accessed on 15 October 2021) currently have a total surface coverage of 0.0297%. However, deep learning-based techniques have recently been developed that are able to retrieve DTMs using only a single HiRISE observation as input [5][6][7]. Using deep learning-based single-image DTM retrieval methods, ultra-high-resolution (25-50 cm/pixel) 3D information can now be derived "on-demand" for the remaining 3.098% area of the Martian surface, in which case, meaning scientific analysis that is reliant on high-resolution 3D will become feasible in these remaining areas.…”

Section: Introductionmentioning

confidence: 99%

“…A new set of training data is constructed using selected PDS HiRISE DTMs and iMars CTX DTMs [8] which are available through the ESA's Guest Storage Facility [9] (https://www.cosmos.esa.int/web/psa/ucl-mssl_meta-gsf, accessed on 15 October 2021). We demonstrate the new MADNet 2.0 system with single-view HiRISE images over the ExoMars Rosalind Franklin rover's landing site at Oxia Planum [7,10]. The HRSC and CTX DTM mosaics over the same area (described in [7]) that are co-aligned with the Mars Global Surveyor's Mars Orbiter Laser Altimeter (MOLA) [11,12] global areoid DTM (https: //planetarymaps.usgs.gov/mosaic/Mars_MGS_MOLA_DEM_mosaic_global_463m.tif, accessed on 15 October 2021), are used as the baseline reference data.…”

Section: Introductionmentioning

confidence: 99%

“…We demonstrate the new MADNet 2.0 system with single-view HiRISE images over the ExoMars Rosalind Franklin rover's landing site at Oxia Planum [7,10]. The HRSC and CTX DTM mosaics over the same area (described in [7]) that are co-aligned with the Mars Global Surveyor's Mars Orbiter Laser Altimeter (MOLA) [11,12] global areoid DTM (https: //planetarymaps.usgs.gov/mosaic/Mars_MGS_MOLA_DEM_mosaic_global_463m.tif, accessed on 15 October 2021), are used as the baseline reference data. Qualitative assessments using colourised and shaded relief DTMs, and quantitative assessments using semi-automated crater size-counting, and automated slanted-edge image sharpness measurements, are provided for the resultant MADNet 2.0 DTMs, in comparison with the PDS HiRISE DTMs and the MADNet 1.0 HiRISE DTM mosaic product that was produced and described in [7].…”

Section: Introductionmentioning

confidence: 99%

“…The HRSC and CTX DTM mosaics over the same area (described in [7]) that are co-aligned with the Mars Global Surveyor's Mars Orbiter Laser Altimeter (MOLA) [11,12] global areoid DTM (https: //planetarymaps.usgs.gov/mosaic/Mars_MGS_MOLA_DEM_mosaic_global_463m.tif, accessed on 15 October 2021), are used as the baseline reference data. Qualitative assessments using colourised and shaded relief DTMs, and quantitative assessments using semi-automated crater size-counting, and automated slanted-edge image sharpness measurements, are provided for the resultant MADNet 2.0 DTMs, in comparison with the PDS HiRISE DTMs and the MADNet 1.0 HiRISE DTM mosaic product that was produced and described in [7]. In addition, DTM profile and difference measurements are performed for sub-areas to show the height accuracy of the resultant MADNet 2.0 HiRISE DTMs, in comparison with the PDS HiRISE DTMs and the reference CTX DTM.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

MADNet 2.0: Pixel-Scale Topography Retrieval from Single-View Orbital Imagery of Mars Using Deep Learning

et al. 2021

Self Cite

View full text Add to dashboard Cite

The High-Resolution Imaging Science Experiment (HiRISE) onboard the Mars Reconnaissance Orbiter provides remotely sensed imagery at the highest spatial resolution at 25–50 cm/pixel of the surface of Mars. However, due to the spatial resolution being so high, the total area covered by HiRISE targeted stereo acquisitions is very limited. This results in a lack of the availability of high-resolution digital terrain models (DTMs) which are better than 1 m/pixel. Such high-resolution DTMs have always been considered desirable for the international community of planetary scientists to carry out fine-scale geological analysis of the Martian surface. Recently, new deep learning-based techniques that are able to retrieve DTMs from single optical orbital imagery have been developed and applied to single HiRISE observational data. In this paper, we improve upon a previously developed single-image DTM estimation system called MADNet (1.0). We propose optimisations which we collectively call MADNet 2.0, which is based on a supervised image-to-height estimation network, multi-scale DTM reconstruction, and 3D co-alignment processes. In particular, we employ optimised single-scale inference and multi-scale reconstruction (in MADNet 2.0), instead of multi-scale inference and single-scale reconstruction (in MADNet 1.0), to produce more accurate large-scale topographic retrieval with boosted fine-scale resolution. We demonstrate the improvements of the MADNet 2.0 DTMs produced using HiRISE images, in comparison to the MADNet 1.0 DTMs and the published Planetary Data System (PDS) DTMs over the ExoMars Rosalind Franklin rover’s landing site at Oxia Planum. Qualitative and quantitative assessments suggest the proposed MADNet 2.0 system is capable of producing pixel-scale DTM retrieval at the same spatial resolution (25 cm/pixel) of the input HiRISE images.

show abstract

Section: Previous Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

MADNet 2.0: Pixel-Scale Topography Retrieval from Single-View Orbital Imagery of Mars Using Deep Learning

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

A High‐Resolution Digital Terrain Model Mosaic of the Mars 2020 Perseverance Rover Landing Site at Jezero Crater

Tao,

Walter,

Muller

et al. 2023

Earth and Space Science

Self Cite

View full text Add to dashboard Cite

We demonstrate the capabilities of a published MADNet monocular height estimation network in producing a refined digital terrain model (DTM) mosaic at 50 cm/pixel resolution for the Mars 2020 Perseverance rover landing site in Jezero crater on Mars. Our approach utilizes the publicly available Mars 2020 Terrain Relative Navigation (TRN) High‐Resolution Imaging Science Experiment (HiRISE) Digital Terrain Model (DTM) mosaic, which was originally created by the United States Geological Survey (USGS) Astrogeology Science Centre. Our resultant HiRISE MADNet DTM mosaic is strictly matched with the original HiRISE TRN DTM and orthoimage mosaics. These mosaics are themselves co‐aligned with the USGS TRN Context Camera (CTX) based DTM and orthoimage mosaics, as well as the ESA/DLR/FUB (European Space Agency/German Aerospace Center/Free University Berlin) High Resolution Stereo Camera (HRSC) level 5 DTM and orthoimage mosaics. In this paper, we provide a brief description of the technical details, and present both visual and quantitative assessments of the refined MADNet HiRISE Jezero DTM mosaic product. This DTM product is now publicly available at http://dx.doi.org/10.17169/refubium-38359.

show abstract

A Low Albedo, Thin, Resistant Unit in Oxia Planum, Mars: Evidence for an Airfall Deposit and Late‐Stage Groundwater Activity at the ExoMars Rover Landing Site

Harris,

Davis,

Grindrod

et al. 2024

JGR Planets

View full text Add to dashboard Cite

Oxia Planum, Mars, is the future landing site of the ExoMars Rosalind Franklin rover mission, which will search for preserved biosignatures in a phyllosilicate‐bearing unit. Overlying the mission‐important phyllosilicate‐bearing rocks is a dark, capping unit—known here as the Low albedo, Thin, Resistant (LTR) unit—which may have protected the phyllosilicate‐bearing unit over geologic time from solar insolation and radiation. However, little is known about the origin of the LTR unit. Here, we map the LTR unit and investigate its distribution and morphology across 50,000 km2 using a variety of orbital remote sensing data sets. The characteristics of the LTR unit include draping palaeo‐topographic surfaces, deposition over a wide elevation range, and a consistent vertical thickness that can be best explained by airfall deposition including a primary or reworked volcanic palaeo‐ashfall. Previous research suggests that the LTR unit was not significantly buried, and we find it to be preferentially preserved with a high mechanical strength in discrete deposits representing palaeo‐topographic lows. We suggest this could be attributed to localized cementation via upwelling groundwater. This scenario suggests that most of the phyllosilicate‐bearing exposures may not have been protected over geologic time, as the uncemented LTR sediment would have easily been removed by erosion. However, our observations indicate that the scarped margins of the LTR unit deposits probably exposed regions of the once protected phyllosilicate‐bearing unit. These areas could be key science targets for the ExoMars Rosalind Franklin rover mission.

show abstract

Large Area High-Resolution 3D Mapping of Oxia Planum: The Landing Site for the ExoMars Rosalind Franklin Rover

Cited by 12 publications

References 40 publications

MADNet 2.0: Pixel-Scale Topography Retrieval from Single-View Orbital Imagery of Mars Using Deep Learning

MADNet 2.0: Pixel-Scale Topography Retrieval from Single-View Orbital Imagery of Mars Using Deep Learning

A High‐Resolution Digital Terrain Model Mosaic of the Mars 2020 Perseverance Rover Landing Site at Jezero Crater

A Low Albedo, Thin, Resistant Unit in Oxia Planum, Mars: Evidence for an Airfall Deposit and Late‐Stage Groundwater Activity at the ExoMars Rover Landing Site

Contact Info

Product

Resources

About