The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data
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Citations
Cites
Introductory digital image processing: A remote sensing perspective
Jensen, J. R., & Lulla, K. (1987) · Geocarto International · doi:10.1080/10106048709354084 · Cited by 5,006
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
Weng, Q., Lu, D., & Schubring, J. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2003.11.005 · Cited by 2,596
Self-citationLand surface temperature retrieval from LANDSAT TM 5
Sobrino, J. A., Jiménez-Muñoz, J. C., & Paolini, L. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.02.003 · Cited by 2,353
Gao, F., Masek, J., Schwaller, M., & Hall, F. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2006.872081 · Cited by 1,968
Self-citationIntroductory digital image processing: a remote sensing perspective
Tailor, A. (1986) · Image and Vision Computing · doi:10.1016/0262-8856(86)90052-1 · Cited by 1,958
A Landsat Surface Reflectance Dataset for North America, 1990–2000
Masek, J. G., Vermote, E. F., Saleous, N. E., Wolfe, R., Hall, F. G., Huemmrich, K. F., Gao, F., Kutler, J., & Lim, T.-K. (2006) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2005.857030 · Cited by 1,627
Self-citationRemote sensing of the urban heat island effect across biomes in the continental USA
Imhoff, M. L., Zhang, P., Wolfe, R. E., & Bounoua, L. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.10.008 · Cited by 1,512
Weng, Q. (2009) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2009.03.007 · Cited by 1,446
Self-citationAn enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
Zhu, X., Chen, J., Gao, F., Chen, X., & Masek, J. G. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.05.032 · Cited by 1,317
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Cited by
Downscaling 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
Zhu, X., Cai, F., Tian, J., & Williams, T. (2018) · Remote Sensing · doi:10.3390/rs10040527 · Cited by 523
Linking green infrastructure to urban heat and human health risk mitigation in Oslo, Norway
Venter, Z. S., Krog, N. H., & Barton, D. N. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.136193 · Cited by 191
Spatiotemporal Fusion of Land Surface Temperature Based on a Convolutional Neural Network
Yin, Z., Wu, P., Foody, G. M., Wu, Y., Liu, Z., Du, Y., & Ling, F. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.2999943 · Cited by 137
Resolution Enhancement of Remotely Sensed Land Surface Temperature: Current Status and Perspectives
Mao, Q., Peng, J., & Wang, Y. (2021) · Remote Sensing · doi:10.3390/rs13071306 · Cited by 74
Metadata
- Authors
- Weng, Q., Fu, P., & Gao, F.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 145
- Pages
- 55-67
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2023306858
- Cited by
- 567
- References
- 49
- FWCI
- 40.38
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data. https://app.cochat.ai/papers/10.1016/j.rse.2014.02.003
- The paper
- Weng, Q., Fu, P., & Gao, F. (2014). Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2014.02.003
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.
