Lunar Reconnaissance Orbiter Camera (LROC) Instrument Overview

Robinson, M. S.; Brylow, S.; Tschimmel, M.; Humm, D. C.; Lawrence, S. J.; Thomas, P. C.; Denevi, B. W.; Bowman-Cisneros, E.; Zerr, J.; Ravine, M. A.; Caplinger, M. A.; Ghaemi, Ferial; Schaffner, J. A.; Malin, M. C.; Mahanti, P.; Bartels, A.; Anderson, J. M.; Tran, Tuan; Eliason, E. M.; McEwen, A. S.; Turtle, E. P.; Jolliff, Bradley L.; Hiesinger, H.

doi:10.1007/978-1-4419-6391-8_6

Cited by 221 publications

(317 citation statements)

References 40 publications

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“…The LROC WAC is a push frame camera capable of providing images in seven different color bands: 321±32, 360±15, 415±36, 566±20, 604±20, 643±23, and 689±39 nm (Robinson et al, 2010). The WAC has a 90° field of view in monochrome mode and a 60° field of view in multispectral mode.…”

Section: Lunar Reconnaissance Orbiter Cameramentioning

confidence: 99%

“…In addition, information regarding the interior and exterior orientation parameters that is stored in a series of SPICE kernels (Acton, 1996) are attached to the header of each image. For Clementine images, we follow the calibration procedures and photometric correction described in McEwen et al, 1998) while we follow the calibration procedures described in (Robinson et al, 2010) and use photometric function and parameters defined in (Sato et al, 2014) when processing LROC WAC images. These procedures are carried out using Integrated Software for Imagers and Spectrometers (ISIS) (Anderson et al, 2004), which is developed and maintained by the Astrogeology Research Program at the USGS.…”

Section: Image Preparationmentioning

confidence: 99%

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Geometric Calibration of the Clementine Uvvis Camera Using Images Acquired by the Lunar Reconnaissance Orbiter

Speyerer¹,

Wagner²,

Robinson³

2016

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

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ABSTRACT:The Clementine UVVIS camera returned over half a million images while in orbit around the Moon in 1994. Since the Clementine mission, our knowledge of lunar topography, gravity, and the location of features on the surface has vastly improved with the success of the Gravity Recovery and Interior Laboratory (GRAIL) mission and ongoing Lunar Reconnaissance Orbiter (LRO) mission. In particular, the Lunar Reconnaissance Orbiter Camera (LROC) has returned over a million images of the Moon since entering orbit in 2009. With the aid of improved ephemeris and on-orbit calibration, the LROC team created a series of precise and accurate global maps. With the updated reference frame, older lunar maps, such as those generated from Clementine UVVIS images, are misaligned making cross-mission analysis difficult. In this study, we use feature-based matching routines to refine and recalibrate the interior and exterior orientation parameters of the Clementine UVVIS camera. After applying these updates and rigorous orthorectification, we are able generate precise and accurate maps from UVVIS images to help support lunar science and future cross-mission investigations.

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Section: Lunar Reconnaissance Orbiter Cameramentioning

confidence: 99%

Section: Image Preparationmentioning

confidence: 99%

Geometric Calibration of the Clementine Uvvis Camera Using Images Acquired by the Lunar Reconnaissance Orbiter

Speyerer¹,

Wagner²,

Robinson³

2016

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

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“…With images from the LRO left and right NAC line scan cameras (Robinson et al, 2010), the ASC has produced controlled polar mosaics of the Moon in support of NASA's Lunar Mapping and Modeling Project (LMMP) (Nall et al, 2010). These are the largest geodetically controlled lunar or planetary mosaics ever produced by the ASC (Lee et al, 2012), and we believe may be the largest such mosaics (in numbers of pixels) ever produced.…”

Section: The Moon's South Pole: Lro Nacmentioning

confidence: 99%

Jigsaw: The Isis3 Bundle Adjustment for Extraterrestrial Photogrammetry

Edmundson

Cook

Thomas

et al. 2012

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The Integrated Software for Imagers and Spectrometers (ISIS) package was developed by the Astrogeology Science Center of the U.S. Geological Survey in the late 1980s for the cartographic and scientific processing of planetary image data. Initial support was implemented for the Galileo NIMS instrument. Constantly evolving, ISIS has since added support for numerous missions, including most recently the Lunar Reconnaissance Orbiter, MESSENGER, and Dawn missions, plus support for the Metric Cameras flown onboard Apollo 15, 16, and 17. To address the challenges posed by extraterrestrial photogrammetry, the ISIS3 bundle adjustment module, jigsaw, is evolving as well. Here, we report on the current state of jigsaw including improvements such as the implementation of sparse matrix methods, parameter weighting, error propagation, and automated robust outlier detection. Details from the recent processing of Apollo Metric Camera images and from recent missions such as LRO and MESSENGER are given. Finally, we outline future plans for jigsaw, including the implementation of sequential estimation; free network adjustment; augmentation of the functional model of the bundle adjustment to solve for camera interior orientation parameters and target body parameters of shape, spin axis position, and spin rate; the modeling of jitter in line scan sensors; and the combined adjustment of images from a variety of platforms.

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“…A spatial query for the SR1 site at -89.781°, -155.848° yielded about 1.300 hits at the time of writing (April 2012). For stereo coverage the LRO spacecraft has to carry out off-nadir slews of about 20° which is possible up to three times per day (Robinson et al 2010). The incidence and azimuth angles should be as similar as possible in order to support the DTM matching.…”

Section: Image Ingestionmentioning

confidence: 99%

“…High resolution DTMs are generated by stereoscopic digital image matching techniques mainly using high resolution imagery of the LROC NAC (Lunar Reconnaissance Orbiter Camera Narrow-Angle Camera) (Robinson et al 2010). The combination of DTMs derived from LROC NAC images and height data of the LOLA (Lunar Orbiter Laser Altimeter) instrument (Smith et al 2010) allows for an automatic quantitative evaluation of landing site hazards like craters and boulders with respect to detection, counting, sizing and distribution.…”

Section: Introductionmentioning

confidence: 99%

Landsafe: Landing Site Risk Analysis Software Framework

Schmidt

Bostelmann

Cornet

et al. 2012

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

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Commission IV, WG IV/7KEY WORDS: Extra-terrestrial, Mapping, Analysis, Visualization, DEM/DTM, Decision Support, Expert System, Planetary ABSTRACT:The European Space Agency (ESA) is planning a Lunar Lander mission in the 2018 timeframe that will demonstrate precise soft landing at the polar regions of the Moon. To ensure a safe and successful landing a careful risk analysis has to be carried out. This is comprised of identifying favorable target areas and evaluating the surface conditions in these areas. Features like craters, boulders, steep slopes, rough surfaces and shadow areas have to be identified in order to assess the risk associated to a landing site in terms of a successful touchdown and subsequent surface operation of the lander. In addition, global illumination conditions at the landing site have to be simulated and analyzed. The Landing Site Risk Analysis software framework (LandSAfe) is a system for the analysis, selection and certification of safe landing sites on the lunar surface. LandSAfe generates several data products including high resolution digital terrain models (DTMs), hazard maps, illumination maps, temperature maps and surface reflectance maps which assist the user in evaluating potential landing site candidates. This paper presents the LandSAfe system and describes the methods and products of the different modules. For one candidate landing site on the rim of Shackleton crater at the south pole of the Moon a high resolution DTM is showcased.

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Lunar Reconnaissance Orbiter Camera (LROC) Instrument Overview

Cited by 221 publications

References 40 publications

Geometric Calibration of the Clementine Uvvis Camera Using Images Acquired by the Lunar Reconnaissance Orbiter

Geometric Calibration of the Clementine Uvvis Camera Using Images Acquired by the Lunar Reconnaissance Orbiter

Jigsaw: The Isis3 Bundle Adjustment for Extraterrestrial Photogrammetry

Landsafe: Landing Site Risk Analysis Software Framework

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