The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Clementine images of the lunar sample‐return stations: Refinement of FeO and TiO2 mapping techniques
Abstract
Clementine UVVIS images of the lunar sample‐return sites have been processed and used to produce refined calibrations for the iron and titanium determination algorithms of Lucey et al. [1995, 1996]. The high spatial resolution of the Clementine data permits individual sampling stations to be resolved at the Apollo 15, 16, and 17 landing sites. We find an excellent, linear correlation between the spectral Fe and Ti parameters and the average FeO and TiO 2 contents of soils sampled at each site or station. This correlation demonstrates that these techniques can confidently be applied to other areas of the Moon. The Luna 24 site does not fit the Ti relation found for other sites, suggesting that either its sample is nonrepresentative or the reported landing coordinates are incorrect.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Oxygen extraction from lunar soils and pyroclastic glass
Allen, C. C., Morris, R. V., & McKay, D. S. (1996) · Journal of Geophysical Research: Planets · doi:10.1029/96je02726 · Cited by 104
Cited by
Wu, Y. (2012) · Geochimica et Cosmochimica Acta · doi:10.1016/j.gca.2012.07.011 · Cited by 54
A lunar soil classification system for space resource utilization
Cannon, K. M. (2023) · Planetary and Space Science · doi:10.1016/j.pss.2023.105780 · Cited by 20
Metadata
- Authors
- Blewett, D. T., Lucey, P. G., Hawke, B. R., & Jolliff, B. L.
- Venue
- Journal of Geophysical Research: Planets
- Publisher
- American Geophysical Union (AGU)
- Published
- 1997-07
- Volume
- 102
- Issue
- E7
- Pages
- 16319-16325
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2150371620
- Cited by
- 233
- References
- 1
- FWCI
- 8.88
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Clementine images of the lunar sample‐return stations: Refinement of FeO and TiO2 mapping techniques. https://app.cochat.ai/papers/10.1029/97je01505
- The paper
- Blewett, D. T., Lucey, P. G., Hawke, B. R., & Jolliff, B. L. (1997). Clementine images of the lunar sample‐return stations: Refinement of FeO and TiO2 mapping techniques. Journal of Geophysical Research: Planets. https://doi.org/10.1029/97je01505
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
