Initial observations from the Lunar Orbiter Laser Altimeter (LOLA)

Smith, David E.; Zuber, M. T.; Neumann, Gregory A.; Lemoine, F. G.; Mazarico, E.; Torrence, M. H.; McGarry, Jan F.; Rowlands, D. D.; Head, J. W.; Duxbury, T.; Aharonson, O.; Lucey, P. G.; Robinson, M. S.; Barnouin, Olivier S.; Cavanaugh, John F.; Sun, Xiaoli; Liiva, Peter; Mao, Dandan; Smith, James C.; Bartels, A.

doi:10.1029/2010gl043751

Cited by 405 publications

(280 citation statements)

References 23 publications

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“…1a,b) show the basin to be surrounded by three prominent ring structures (see discussion of the morphology of the rings in Hartmann and Kuiper, 1962;Head, 1974;Wilhelms, 1987). The ring centroids and radii stated below are calculated from best-fit A C C E P T E D M A N U S C R I P T 5 circles to the rings (and their associated 1-standard-deviation range) as expressed in LOLA topography data (Smith et al, 2010), using the inward-facing scarp where one exists. The Inner Rook Montes consist of a set of prominent massifs that surround the central depression of the basin (centered at °N °E, at a radius r ~ km).…”

Section: Introductionmentioning

confidence: 99%

“…A fourth ring, the inner ring that surrounds the inner depression (r ~ 160 km; Nahm et al, 2013), is expressed as a rounded bench in cross-section that is markedly less prominent in its topographic signature than the other rings (Nahm et al, 2013), and may have formed due to the thermal contraction of the post-impact melt pool within the basin (Vaughan et al, 2013;Wilson and Head, 2011). Alternatively, the inner ring might be an analog of structures in the Crisium basin, which are interpreted as the surface expression of thrust faults bounding the uplifted mantle beneath the basin center (Byrne et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Ring faults and ring dikes around the Orientale basin on the Moon

Andrews-Hanna

Head

Johnson

et al. 2018

Icarus

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ring faults and ring dikes around the Orientale basin on the Moon

Andrews-Hanna

Head

Johnson

et al. 2018

Icarus

Self Cite

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“…Launched in June 2009, LOLA acquires 5 parallel profiles, separated by ∼56 m; shots along the track are ~10 -12 m apart The range resolution of LOLA data is 10 cm (Smith et al, 2010a). LOLA DEMs with different resolution have been produced and released, e.g., a global DEM with a resolution of 256 pixels per degree (118 m/pixel at the equator) was produced using 6.5 billion LOLA measurements gathered between July 2009 and July 2013 (Smith et al, 2010b).…”

Section: Laser Altimetry Datamentioning

confidence: 99%

An Initiative for Construction of New-Generation Lunar Global Control Network Using Multi-Mission Data

Liu

Peng

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:A lunar global control network provides geodetic datum and control points for mapping of the lunar surface. The widely used Unified Lunar Control Network 2005 (ULCN2005) was built based on a combined photogrammetric solution of Clementine images acquired in 1994 and earlier photographic data. In this research, we propose an initiative for construction of a new-generation lunar global control network using multi-mission data newly acquired in the 21 st century, which have much better resolution and precision than the old data acquired in the last century. The new control network will be based on a combined photogrammetric solution of an extended global image and laser altimetry network. The five lunar laser ranging retro-reflectors, which can be identified in LROC NAC images and have cm level 3D position accuracy, will be used as absolute control points in the least squares photogrammetric adjustment. Recently, a new radio total phase ranging method has been developed and used for high-precision positioning of Chang'e-3 lander; this shall offer a new absolute control point. Systematic methods and key techniques will be developed or enhanced, including rigorous and generic geometric modeling of orbital images, multi-scale feature extraction and matching among heterogeneous multi-mission remote sensing data, optimal selection of images at areas of multiple image coverages, and large-scale adjustment computation, etc. Based on the high-resolution new datasets and developed new techniques, the new generation of global control network is expected to have much higher accuracy and point density than the ULCN2005.

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“…These six templates were created based on track data of the Lunar Orbiter Laser Altimeter (LOLA) instrument (Smith et al, 2010) of three craters of about 8 km diameter in the vicinity of lunar crater Plato, making use of the known illumination conditions and the known reflectance behavior of the lunar surface, which allow for generating artificial crater template images.…”

Section: Template-based Automatic Crater Detectionmentioning

confidence: 99%

Mapping of Planetary Surface Age Based on Crater Statistics Obtained by an Automatic Detection Algorithm

Salih¹,

Mühlbauer²,

Grumpe³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The analysis of the impact crater size-frequency distribution (CSFD) is a well-established approach to the determination of the age of planetary surfaces. Classically, estimation of the CSFD is achieved by manual crater counting and size determination in spacecraft images, which, however, becomes very time-consuming for large surface areas and/or high image resolution. With increasing availability of high-resolution (nearly) global image mosaics of planetary surfaces, a variety of automated methods for the detection of craters based on image data and/or topographic data have been developed. In this contribution a template-based crater detection algorithm is used which analyses image data acquired under known illumination conditions. Its results are used to establish the CSFD for the examined area, which is then used to estimate the absolute model age of the surface. The detection threshold of the automatic crater detection algorithm is calibrated based on a region with available manually determined CSFD such that the age inferred from the manual crater counts corresponds to the age inferred from the automatic crater detection results. With this detection threshold, the automatic crater detection algorithm can be applied to a much larger surface region around the calibration area. The proposed age estimation method is demonstrated for a Kaguya Terrain Camera image mosaic of 7.4 m per pixel resolution of the floor region of the lunar crater Tsiolkovsky, which consists of dark and flat mare basalt and has an area of nearly 10,000 km 2 . The region used for calibration, for which manual crater counts are available, has an area of 100 km 2 . In order to obtain a spatially resolved age map, CSFDs and surface ages are computed for overlapping quadratic regions of about 4.4 x 4.4 km² size offset by a step width of 74 m. Our constructed surface age map of the floor of Tsiolkovsky shows age values of typically 3.2-3.3 Ga, while for small regions lower (down to 2.9 Ga) and higher (up to 3.6 Ga) age values can be observed. It is known that CSFD-derived absolute model ages can exhibit variations although the surface has a constant age. However, for four 10-20 km sized regions in the eastern part of the crater floor our map shows age values differing by several hundred Ma from the typical age of the crater floor, where the same regions are also discernible in Clementine UV/VIS color ratio image data probably due to compositional variations, such that the age differences of these four regions may be real.

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Initial observations from the Lunar Orbiter Laser Altimeter (LOLA)

Cited by 405 publications

References 23 publications

Ring faults and ring dikes around the Orientale basin on the Moon

Ring faults and ring dikes around the Orientale basin on the Moon

An Initiative for Construction of New-Generation Lunar Global Control Network Using Multi-Mission Data

Mapping of Planetary Surface Age Based on Crater Statistics Obtained by an Automatic Detection Algorithm

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