The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Separating temperature and emissivity in thermal infrared multispectral scanner data: implications for recovering land surface temperatures
Abstract
The accuracy of three techniques for recovering surface kinetic temperature from multispectral thermal infrared data acquired over land is evaluated. The three techniques are the reference channel method, the emissivity normalization method, and the alpha emissivity method. The methods used to recover the temperature of artificial radiance derived from a wide variety of materials. The results indicate that the emissivity normalization and alpha emissivity techniques are the most accurate, and recover the temperature of the majority of the artificial radiance spectra to within 1.5 K; the reference channel method produces less accurate results. The primary advantage of the alpha emissivity method over the emissivity normalization method is that it works well in terrains of widely varying emissivities, e.g.,those dominated by vegetation and igneous rocks. By contrast, the emissivity normalization method works well only if the emissivity used for normalization is close to the maximum emissivity of the spectra in the scene.>
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
Emissivity of terrestrial materials in the 8–14 μm atmospheric window
Salisbury, J. W., & D'Aria, D. M. (1992) · Remote Sensing of Environment · doi:10.1016/0034-4257(92)90092-x · Cited by 777
Color enhancement of highly correlated images. I. Decorrelation and HSI contrast stretches
Gillespie, A. R., Kahle, A. B., & Walker, R. E. (1986) · Remote Sensing of Environment · doi:10.1016/0034-4257(86)90044-1 · Cited by 517
Emissivity of pure and sea waters for the model sea surface in the infrared window regions
Masuda, K., Takashima, T., & Takayama, Y. (1988) · Remote Sensing of Environment · doi:10.1016/0034-4257(88)90032-6 · Cited by 470
Temperature-independent spectral indices in thermal infrared bands
Becker, F., & Li, Z.-L. (1990) · Remote Sensing of Environment · doi:10.1016/0034-4257(90)90095-4 · Cited by 376
Estimation of sea surface temperature from remote sensing in the 11- to 13-μm window region
Prabhakara, C., Dalu, G., & Kunde, V. G. (1974) · Journal of Geophysical Research · doi:10.1029/jc079i033p05039 · Cited by 273
Analysis of rocks by spectral infrared emission (8 to 25 microns)
Lyon, R. J. P. (1965) · Economic Geology · doi:10.2113/gsecongeo.60.4.715 · Cited by 259
Hook, S. J., Gabell, A. R., Green, A. A., & Kealy, P. S. (1992) · Remote Sensing of Environment · doi:10.1016/0034-4257(92)90096-3 · Cited by 257
Self-citationTheory and validation of the multiple window sea surface temperature technique
McMillin, L. M., & Crosby, D. S. (1984) · Journal of Geophysical Research: Oceans · doi:10.1029/jc089ic03p03655 · Cited by 248
Thermal radiation heat transfer
Smestad, G. P. (1994) · Solar Energy Materials and Solar Cells · doi:10.1016/0927-0248(94)90242-9 · Cited by 157
Lithologic mapping of silicate rocks using TIMS
Gillespie, A. R. (1986) · NASA STI Repository (National Aeronautics and Space Administration) · Cited by 147
Cited by
Tropical forests are approaching critical temperature thresholds
Doughty, C. E., Keany, J. M., Wiebe, B. C., Rey-Sanchez, C., Carter, K. R., Middleby, K. B., Cheesman, A. W., Goulden, M. L., da Rocha, H. R., Miller, S. D., et al. (2023) · Nature · doi:10.1038/s41586-023-06391-z · Cited by 247
High-resolution urban thermal sharpener (HUTS)
Dominguez, A., Kleissl, J., Luvall, J. C., & Rickman, D. L. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.03.008 · Cited by 165
Metadata
- Authors
- Kealy, P. S., & Hook, S. J.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 1993
- Volume
- 31
- Issue
- 6
- Pages
- 1155-1164
- ISSN
- 0196-2892 (ISSN-L)
- OpenAlex
- W2105391092
- Cited by
- 256
- References
- 11
- FWCI
- 12.46
- 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: Separating temperature and emissivity in thermal infrared multispectral scanner data: implications for recovering land surface temperatures. https://app.cochat.ai/papers/10.1109/36.317447
- The paper
- Kealy, P. S., & Hook, S. J. (1993). Separating temperature and emissivity in thermal infrared multispectral scanner data: implications for recovering land surface temperatures. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/36.317447
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.
