The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends
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Citations
Cites
The energetic basis of the urban heat island
Oke, T. R. (1982) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710845502 · Cited by 4,670
Elvidge, C. D., Baugh, K. E., Kihn, E. A., Kroehl, H. W., Davis, E. R., & Davis, C. W. (1997) · International Journal of Remote Sensing · doi:10.1080/014311697218485 · Cited by 941
STEININGER, M. K. (1996) · International Journal of Remote Sensing · doi:10.1080/01431169608948984 · Cited by 176 · cited 1×
“Remotely sensed TIR imagery has the advantage of providing a time-synchronized dense grid of temperature data over a whole city, while optical sensing data have been used to monitor discrete land cover types and to estimate biophysical variables (Steininger, 1996).”
Background
Cited by
Peng, J., Xie, P., Liu, Y., & Ma, J. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.11.027 · Cited by 603
Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data
Weng, Q., Fu, P., & Gao, F. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.02.003 · Cited by 567
Self-citationDownscaling land surface temperatures at regional scales with random forest regression
Hutengs, C., & Vohland, M. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.03.006 · Cited by 562
Hu, X., & Xu, H. (2018) · Ecological Indicators · doi:10.1016/j.ecolind.2018.02.006 · Cited by 533
Validation of Collection 6 MODIS land surface temperature product using in situ measurements
Duan, S.-B., Li, Z.-L., Li, H., Göttsche, F.-M., Wu, H., Zhao, W., Leng, P., Zhang, X., & Coll, C. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.02.020 · Cited by 442
Metadata
- Authors
- Weng, Q.
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2009-07
- Volume
- 64
- Issue
- 4
- Pages
- 335-344
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2006273284
- Cited by
- 1,446
- References
- 3
- FWCI
- 21.83
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends. https://app.cochat.ai/papers/10.1016/j.isprsjprs.2009.03.007
- The paper
- Weng, Q. (2009). Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2009.03.007
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.
