The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems
Abstract
Imaging spectroscopy is a tool that can be used to spectrally identify and spatially map materials based on their specific chemical bonds. Spectroscopic analysis requires significantly more sophistication than has been employed in conventional broadband remote sensing analysis. We describe a new system that is effective at material identification and mapping: a set of algorithms within an expert system decision‐making framework that we call Tetracorder. The expertise in the system has been derived from scientific knowledge of spectral identification. The expert system rules are implemented in a decision tree where multiple algorithms are applied to spectral analysis, additional expert rules and algorithms can be applied based on initial results, and more decisions are made until spectral analysis is complete. Because certain spectral features are indicative of specific chemical bonds in materials, the system can accurately identify and map those materials. In this paper we describe the framework of the decision making process used for spectral identification, describe specific spectral feature analysis algorithms, and give examples of what analyses and types of maps are possible with imaging spectroscopy data. We also present the expert system rules that describe which diagnostic spectral features are used in the decision making process for a set of spectra of minerals and other common materials. We demonstrate the applications of Tetracorder to identify and map surface minerals, to detect sources of acid rock drainage, and to map vegetation species, ice, melting snow, water, and water pollution, all with one set of expert system rules. Mineral mapping can aid in geologic mapping and fault detection and can provide a better understanding of weathering, mineralization, hydrothermal alteration, and other geologic processes. Environmental site assessment, such as mapping source areas of acid mine drainage, has resulted in the acceleration of site cleanup, saving millions of dollars and years in cleanup time. Imaging spectroscopy data and Tetracorder analysis can be used to study both terrestrial and planetary science problems. Imaging spectroscopy can be used to probe planetary systems, including their atmospheres, oceans, and land surfaces.
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
Thermal emission spectrometer experiment: Mars Observer mission
Christensen, P. R., Anderson, D. L., Chase, S. C., Clark, R. N., Kieffer, H. H., Malin, M. C., Pearl, J. C., Carpenter, J., Bandiera, N., Brown, F. G., et al. (1992) · Journal of Geophysical Research: Planets · doi:10.1029/92je00453 · Cited by 309
Self-citation
Cited by
Kokaly, R. F., Asner, G. P., Ollinger, S. V., Martin, M. E., & Wessman, C. A. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.10.018 · Cited by 631
Self-citationCollaborative Sparse Regression for Hyperspectral Unmixing
Iordache, M.-D., Bioucas-Dias, J. M., & Plaza, A. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2240001 · Cited by 485
Progressive forest canopy water loss during the 2012–2015 California drought
Asner, G. P., Brodrick, P. G., Anderson, C. B., Vaughn, N., Knapp, D. E., & Martin, R. E. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1523397113 · Cited by 397
Detection and discrimination of sulfate minerals using reflectance spectroscopy
CLOUTIS, E., HAWTHORNE, F., MERTZMAN, S., KRENN, K., CRAIG, M., MARCINO, D., METHOT, M., STRONG, J., MUSTARD, J., & BLANEY, D. (2006) · Icarus · doi:10.1016/j.icarus.2006.04.003 · Cited by 406
Recent Advances in Hyperspectral Unmixing Using Sparse Techniques and Deep Learning
Zhang, S., Su, Y., Xu, X., Li, J., Deng, C., & Plaza, A. (2020) · Advances in Computer Vision and Pattern Recognition · doi:10.1007/978-3-030-38617-7_13 · Cited by 8
Metadata
- Authors
- Clark, R. N., Swayze, G. A., Livo, K. E., Kokaly, R. F., Sutley, S. J., Dalton, J. B., McDougal, R. R., & Gent, C. A.
- Venue
- Journal of Geophysical Research: Planets
- Publisher
- American Geophysical Union (AGU)
- Published
- 2003-12
- Volume
- 108
- Issue
- E12
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2012749606
- Cited by
- 845
- References
- 1
- FWCI
- 21.55
- 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: Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems. https://app.cochat.ai/papers/10.1029/2002je001847
- The paper
- Clark, R. N., Swayze, G. A., Livo, K. E., Kokaly, R. F., Sutley, S. J., Dalton, J. B., McDougal, R. R., & Gent, C. A. (2003). Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems. Journal of Geophysical Research: Planets. https://doi.org/10.1029/2002je001847
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.