A comparative study of iron abundance estimation methods: Application to the western nearside of the Moon

Bhatt, Megha; Mall, U.; Wöhler, Christian; Grumpe, A.; Bugiolacchi, Roberto

doi:10.1016/j.icarus.2014.10.023

Cited by 22 publications

(33 citation statements)

References 65 publications

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“…Shaded high-resolution DEM constructed using the shape-from-shading approach by and Grumpe and Wöhler (2015), combining GLD100 stereo data (Scholten et al, 2012) with LROC NAC reflectance data. To illustrate elemental abundance mapping on the Moon, we used the approach of Wöhler et al (2014) and Bhatt et al (2015) described in Section 2.1, which relies on a combined analysis of M³ and LP GRS data. Figure 7 depicts the lunar Ti distribution as a latitudinal density plot derived from a nearly global Ti abundance map obtained using the method proposed by Bhatt et al (2015).…”

Section: Example Resultsmentioning

confidence: 99%

“…In combination with elemental abundance maps of low resolution e.g. obtained by the Lunar Prospector Gamma Ray Spectrometer (LP GRS) (Lawrence et al, 1998), the spectral parameter maps allow for the construction of high-resolution maps of the abundances of the main refractory elements Al, Mg, Ca, Fe and Ti Bhatt et al, 2015;Shkuratov et al, 2005). The strength of the absorption around 3 µm related to hydroxyl (OH) can also be mapped (Pieters et al, 2009b).…”

Section: Remote Sensing Methods To Be Appliedmentioning

confidence: 99%

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KOREAN LUNAR LANDER – CONCEPT STUDY FOR LANDING-SITE SELECTION FOR LUNAR RESOURCE EXPLORATION

Kim¹,

Wöhler²,

Ju³

et al. 2016

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

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ABSTRACT:As part of the national space promotion plan and presidential national agendas South Korea's institutes and agencies under the auspices of the Ministry of Science, Information and Communication Technology and Future Planning (MSIP) are currently developing a lunar mission package expected to reach Moon in 2020. While the officially approved Korean Pathfinder Lunar Orbiter (KPLO) is aimed at demonstrating technologies and monitoring the lunar environment from orbit, a lander -currently in pre-phase A -is being designed to explore the local geology with a particular focus on the detection and characterization of mineral resources. In addition to scientific and potential resource potentials, the selection of the landing-site will be partly constrained by engineering constraints imposed by payload and spacecraft layout. Given today's accumulated volume and quality of available data returned from the Moon's surface and from orbital observations, an identification of landing sites of potential interest and assessment of potential hazards can be more readily accomplished by generating synoptic snapshots through data integration. In order to achieve such a view on potential landing sites, higher level processing and derivation of data are required, which integrates their spatial context, with detailed topographic and geologic characterizations. We are currently assessing the possibility of using fuzzy c-means clustering algorithms as a way to perform (semi-) automated terrain characterizations of interest. This paper provides information and background on the national lunar lander program, reviews existing approaches -including methods and tools -for landing site analysis and hazard assessment, and discusses concepts to detect and investigate elemental abundances from orbit and the surface. This is achieved by making use of manual, semi-automated as well as fully-automated remote-sensing methods to demonstrate the applicability of analyses. By considering given boundary conditions, concrete procedures for determining potential landing sites of the Korean lunar lander could be proposed.

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Section: Example Resultsmentioning

confidence: 99%

Section: Remote Sensing Methods To Be Appliedmentioning

confidence: 99%

KOREAN LUNAR LANDER – CONCEPT STUDY FOR LANDING-SITE SELECTION FOR LUNAR RESOURCE EXPLORATION

Kim¹,

Wöhler²,

Ju³

et al. 2016

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

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“…Hence, the mosaic was clustered into 64 spectral classes in an unsupervised manner using a self-organizing map (SOM) (Kohonen, 2001). As features used for SOM clustering the pixel-specific abundances of the elements Fe, Ca, Mg and Ti were used, which were computed for the complete mosaic based on the regression-based algorithm of (Wöhler et al, 2014, Bhatt et al, 2015. To each of the 64 cluster prototype spectra the MPBIL-based spectral unmixing algorithm with a population size of npop = 20 was applied, yielding 64 cluster-specific sets of endmembers.…”

Section: Construction Of Nearly Global Lunar Mineral Abundance Mapsmentioning

confidence: 99%

“…That method was calibrated with * Corresponding author respect to LP GRS elemental abundances. It has been extended to the element Ti (Bhatt et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Spectral Unmixing Based Construction of Lunar Mineral Abundance Maps

Bernhardt

Grumpe

Wöhler

2017

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

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ABSTRACT:In this study we apply a nonlinear spectral unmixing algorithm to a nearly global lunar spectral reflectance mosaic derived from hyperspectral image data acquired by the Moon Mineralogy Mapper (M 3 ) instrument. Corrections for topographic effects and for thermal emission were performed. A set of 19 laboratory-based reflectance spectra of lunar samples published by the Lunar Soil Characterization Consortium (LSCC) were used as a catalog of potential endmember spectra. For a given spectrum, the multi-population population-based incremental learning (MPBIL) algorithm was used to determine the subset of endmembers actually contained in it. However, as the MPBIL algorithm is computationally expensive, it cannot be applied to all pixels of the reflectance mosaic. Hence, the reflectance mosaic was clustered into a set of 64 prototype spectra, and the MPBIL algorithm was applied to each prototype spectrum. Each pixel of the mosaic was assigned to the most similar prototype, and the set of endmembers previously determined for that prototype was used for pixel-wise nonlinear spectral unmixing using the Hapke model, implemented as linear unmixing of the singlescattering albedo spectrum. This procedure yields maps of the fractional abundances of the 19 endmembers. Based on the known modal abundances of a variety of mineral species in the LSCC samples, a conversion from endmember abundances to mineral abundances was performed. We present maps of the fractional abundances of plagioclase, pyroxene and olivine and compare our results with previously published lunar mineral abundance maps.

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“…The spectral parameters of are inferred from the normalized spectral reflectance inserted into the regression model of Bhatt et al (2015) mapping the spectral parameters onto Lunar Prospector Gamma-Ray Spectrometer (LP GRS) (Lawrence et al, 1998) data. This technique yields elemental abundance maps at the lateral resolution of M 3 data.…”

Section: Construction Of Elemental Abundance Mapsmentioning

confidence: 99%

Elemental and Topographic Mapping of Lava Flowstructures In Mare Serenitatis on the Moon

Wöhler

Grumpe

Rommel

et al. 2017

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

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ABSTRACT:The detection of lunar lava flows based on local morphology highly depends on the available images. The thickness of lava flows, however, has been studied by many researchers and lunar lava flows are shown to be as thick as 200 m. Lunar lava flows are supposed to be concentrated on the northwestern lunar nearside. In this study we present elemental abundance maps, a petrological map and a digital terrain model (DTM) of a lava flow structure in northern Mare Serenitatis at (18.0• E, 32.4• N) and two possible volcanic vents at (11.2• E, 24.6• N) and (13.5• E, 37.5• N), respectively. Our abundance maps of the refractory elements Ca, Mg and our petrological map were obtained based on hyperspectral image data of the Moon Mineralogy Mapper (M 3 ) instrument. Our DTM was constructed using GLD100 data in combination with a shape from shading based method to M 3 and Lunar Reconnaissance Orbiter (LRO) Narrow Angle Camera (NAC) image data. The obtained NAC-based DEM has a very high effective resolution of about 1-2 m which comes close to the resolution of the utilized NAC images without requiring intricate processing of NAC stereo image pairs. As revealed by our elemental maps and DEM, the examined lava flow structure occurs on a boundary between basalts consisting of low-Ca/high-Mg pyroxene and high-Ca/low-Mg pyroxene, respectively. The total thickness of the lava flow is about 100 m, which is a relatively large value, but according to our DEM the lava flow may also be composed of two or more layers.

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A comparative study of iron abundance estimation methods: Application to the western nearside of the Moon

Cited by 22 publications

References 65 publications

KOREAN LUNAR LANDER – CONCEPT STUDY FOR LANDING-SITE SELECTION FOR LUNAR RESOURCE EXPLORATION

KOREAN LUNAR LANDER – CONCEPT STUDY FOR LANDING-SITE SELECTION FOR LUNAR RESOURCE EXPLORATION

Spectral Unmixing Based Construction of Lunar Mineral Abundance Maps

Elemental and Topographic Mapping of Lava Flowstructures In Mare Serenitatis on the Moon

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A comparative study of iron abundance estimation methods: Application to the western nearside of the Moon

Cited by 22 publications

References 65 publications

KOREAN LUNAR LANDER &ndash; CONCEPT STUDY FOR LANDING-SITE SELECTION FOR LUNAR RESOURCE EXPLORATION

KOREAN LUNAR LANDER &ndash; CONCEPT STUDY FOR LANDING-SITE SELECTION FOR LUNAR RESOURCE EXPLORATION

Spectral Unmixing Based Construction of Lunar Mineral Abundance Maps

Elemental and Topographic Mapping of Lava Flowstructures In Mare Serenitatis on the Moon

Contact Info

Product

Resources

About

KOREAN LUNAR LANDER – CONCEPT STUDY FOR LANDING-SITE SELECTION FOR LUNAR RESOURCE EXPLORATION

KOREAN LUNAR LANDER – CONCEPT STUDY FOR LANDING-SITE SELECTION FOR LUNAR RESOURCE EXPLORATION