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Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance
Abstract
A new tasselled cap transformation based on Landsat 7 at-satellite reflectance was developed. This transformation is most appropriate for regional applications where atmospheric correction is not feasible. The brightness, greenness and wetness of the derived transformation collectively explained over 97% of the spectral variance of the individual scenes used in this study.
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Citations
Cited by
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Hu, X., & Xu, H. (2018) · Ecological Indicators · doi:10.1016/j.ecolind.2018.02.006 · Cited by 533
Giri, C., Pengra, B., Zhu, Z., Singh, A., & Tieszen, L. L. (2007) · Estuarine, Coastal and Shelf Science · doi:10.1016/j.ecss.2006.12.019 · Cited by 527
BCI: A biophysical composition index for remote sensing of urban environments
Deng, C., & Wu, C. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.09.009 · Cited by 326
Crossing the western altiplano: the ecological context of tiwanaku migrations
Vining, B., & Williams, P. R. (2020) · Journal of Archaeological Science · doi:10.1016/j.jas.2019.105046 · Cited by 19
Metadata
- Authors
- Huang, C., Wylie, B., Yang, L., Homer, C., & Zylstra, G.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 2002-01
- Volume
- 23
- Issue
- 8
- Pages
- 1741-1748
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2158864811
- Cited by
- 681
- References
- 0
- FWCI
- 17.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance. https://app.cochat.ai/papers/10.1080/01431160110106113
- The paper
- Huang, C., Wylie, B., Yang, L., Homer, C., & Zylstra, G. (2002). Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance. International Journal of Remote Sensing. https://doi.org/10.1080/01431160110106113
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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.