Orbiter High Resolution Camera onboard Chandrayaan-2 Orbiter

Chowdhury, A. R.; Saxena, Manish; Kumar, Ankush; Joshi, Sanjay S.; Amitabh,; Dagar, A.; Mittal, Manish; Kirkire, Shweta; Desai, Jalshri; Shah, Dhrupesh; Karelia, J. C.; Kumar, A. S. Kiran; Jha, Kailash; Das, Prasanta Kumar; Bhagat, H. V.; Sharma, J. M.; Ghonia, D. N.; Desai, Meghal A.; Bansal, G.D.; Gupta, Ashutosh

doi:10.18520/cs/v118/i4/560-565

Cited by 13 publications

(4 citation statements)

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“…2023, 15, 5691 5 of 23 TMC-2 of Chandrayaan-2 can provide high-resolution images of the Moon's polar regions. TMC-2 is configured to provide panchromatic images, and stereo triplets at 5 m/pixel spatial resolution from a 100 km circular orbit around the Moon for preparing detailed DEM of the complete lunar surface [37,38]. To supplement the LROC NAC images, 5 TMC-2 images were selected and downloaded from the Indian Space Science Data Center website (h ps://pradan.issdc.gov.in/ch2/protected/payload.xhtml, accessed on 11 September 2023).…”

Section: Methodsmentioning

confidence: 99%

Analysis of Illumination Conditions in the Lunar South Polar Region Using Multi-Temporal High-Resolution Orbital Images

Zhang,

Liu,

et al. 2023

Remote Sensing

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The illumination conditions of the lunar south pole region are complex due to the rugged terrain and very low solar elevation angles, posing significant challenges to the safety of lunar landing and rover explorations. High-spatial and temporal-resolution analyses of the illumination conditions in the south pole region are essential to support mission planning and surface operations. This paper proposes a method for illumination condition analysis in the lunar pole region using multi-temporal high-resolution orbital images with a pre-selected landing area of Chang’E-7 as the study area. Firstly, a database of historical multi-temporal high-resolution (0.69–1.97 m/pixel) orbital images, with associated image acquisition time, solar elevation angle, and azimuth angle, is established after preprocessing and registration. Secondly, images with the nearest solar elevation and azimuth at the planned time for mission operations are retrieved from the database for subsequent illumination condition analysis and exploration support. The differences in the actual solar positions at the mission moments from that of the nearest sun position image are calculated and their impact on illumination conditions is evaluated. Experimental results of the study area demonstrate that the constructed image database and the proposed illumination analysis method using multi-temporal images, with the assistance of DEM in a small number of cases, can effectively support the mission planning and operations for the Chang’E-7 mission in the near future.

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Section: Methodsmentioning

confidence: 99%

Analysis of Illumination Conditions in the Lunar South Polar Region Using Multi-Temporal High-Resolution Orbital Images

Zhang,

Liu,

et al. 2023

Remote Sensing

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“…Furthermore, meter scales are relevant in both terrestrial and planetary contexts. These scales are resolvable on Mars by the High Resolution Imaging Science Experiment (HiRISE) on board the Mars Reconnaissance Orbiter, which has a minimum pixel scale of 25 cm/pixel (McEwen et al, 2007), and on Earth's moon by both the Narrow Angle Cameras on board the Lunar Reconnaissance Orbiter, which has a minimum pixel scale of 50 cm (Robinson et al, 2010), and the Orbiter High Resolution Camera on board Chandrayaan-2, which has a minimum pixel scale of 25 cm (Chowdhury et al, 2020).…”

Section: Scale Dependencementioning

confidence: 99%

Reexamining the potential to classify lava flows from the fractality of their margins

Schaefer

Hamilton

Neish

et al. 2021

Preprint

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Can fractal analysis of a lava flow's margin enable classification of the lava's morphologic type (e.g., pāhoehoe)? Such classifications would provide insights into the rheology and dynamics of the flow when it was emplaced. The potential to classify lava flows from remotely-sensed data would particularly benefit the analysis of flows that are inaccessible, including flows on other planetary bodies. The technique's current interpretive framework depends on three assumptions: (1) measured margin fractality is scale-invariant; (2) morphologic types can be uniquely distinguished based on measured margin fractality; and (3) modification of margin fractality by topography, including substrate slope and confinement, would be minimal or independently recognizable. We critically evaluate these assumptions at meter scales (1-10 m) using 15 field-collected flow margin intervals from a wide variety of morphologic types in Hawai'i, Iceland, and Idaho. Among the 12 margin intervals that satisfy the current framework's suitability criteria (e.g., geomorphic freshness, shallowly-sloped substrates), we show that 5 exhibit notably scale-dependent fractality and all 5 from lava types other than 'a'ā or pāhoehoe would be classified as one or both of those types at some scales. Additionally, an 'a'ā flow on a 15°slope (Mauna Ulu, Hawai'i) and a spiny pāhoehoe flow confined by a stream bank (Holuhraun, Iceland) exhibit significantly depressed fractalities but lack diagnostic signatures for these modifications. We therefore conclude that all three assumptions of the current framework are invalid at meter scales and propose a new framework to leverage the potential of the underlying fractal technique while acknowledging these complexities.

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“…Most of the Moon has now been imaged at pixel scales better than 2 m (and as small as 25 cm/pixel) by the Lunar Reconnaissance Orbiter Camera (LROC) (Robinson et al 2010), and additional sub-meter-scale images are being acquired by the Orbiter High Resolution Camera (OHRC) on the Chandrayaan-2 spacecraft (Chowdhury et al 2019) and the Lunar Terrain Imager (LUTI) onboard the Korean Pathfinder Lunar Orbiter (KPLO) (Shin et al 2018), also known as Danuri. The key exception is PSRs, owing to the difficulty of imaging in conditions where the only illumination is scattered from nearby high-standing terrain in direct sunlight (upper crater walls, massifs).…”

Section: Introductionmentioning

confidence: 99%

ShadowCam Instrument and Investigation Overview

Robinson,

Brylow,

Caplinger

et al. 2023

J. Astron. Space Sci.

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ShadowCam is a National Aeronautics and Space Administration Advanced Exploration Systems funded instrument hosted onboard the Korea Aerospace Research Institute (KARI) Korea Pathfinder Lunar Orbiter (KPLO) satellite. By collecting high-resolution images of permanently shadowed regions (PSRs), ShadowCam will provide critical information about the distribution and accessibility of water ice and other volatiles at spatial scales (1.7 m/pixel) required to mitigate risks and maximize the results of future exploration activities. The PSRs never see direct sunlight and are illuminated only by light reflected from nearby topographic highs. Since secondary illumination is very dim, ShadowCam was designed to be over 200 times more sensitive than previous imagers like the Lunar Reconnaissance Orbiter Camera Narrow Angle Camera (LROC NAC). ShadowCam images thus allow for unprecedented views into the shadows, but saturate while imaging sunlit terrain.

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Orbiter High Resolution Camera onboard Chandrayaan-2 Orbiter

Cited by 13 publications

References 0 publications

Analysis of Illumination Conditions in the Lunar South Polar Region Using Multi-Temporal High-Resolution Orbital Images

Analysis of Illumination Conditions in the Lunar South Polar Region Using Multi-Temporal High-Resolution Orbital Images

Reexamining the potential to classify lava flows from the fractality of their margins

ShadowCam Instrument and Investigation Overview

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