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Estimation of broadband surface emissivity from narrowband emissivities
Open accessAbstract
This work analyzed and addressed the estimate of the broadband emissivities for the spectral domains 3-14μm (ε(3-14)) and 3-∞μm (ε(3-∞). Two linear narrow-to-broadband conversion models were proposed to estimate broadband emissivities ε(3-14) and ε(3-∞) using the Moderate Resolution Imaging Spectroradiometer (MODIS) derived emissivities in three thermal infrared channels 29 (8.4-8.7μm), 31 (10.78-11.28μm) and 32 (11.77-12.27μm). Two independent spectral libraries, the Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) spectral library and the MODIS UCSB (University of California, Santa Barbara) emissivity library, were used to calibrate and validate the proposed models. Comparisons of the estimated broadband emissivities using the proposed models and the calculated values from the spectral libraries, showed that the proposed method of estimation of broadband emissivity has potential accuracy and the Root Mean Square Error (RMSE) between estimated and calculated broadband emissivities is less than 0.01 for both ε(3-14) and ε(3-∞).
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“𝜀𝑏𝑏 is related to narrowband thermal emissivities (Cheng et al., 2013; Tang et al., 2011), which in turn are linked to the normalized difference vegetation index (NDVI) or 𝜌 (Cheng et al., 2018; S. Xu et al., 2024)”
From PGDM: Physically guided diffusion model for land surface temperature downscaling (2025) · cites this paper as Tang et al., 2011
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Research works printed but not linked: 7
- Wilber, 1999, Nasa. Tp., 30, 209362
- Ogawa, 2003, Geophys. Res. Lett., 30, 1067, 10.1029/2002GL016354 · DOI
- Wang, 2005, J. Geophys. Res., 110, D11109, 10.1029/2004JD005566 · DOI
- Jin, 2006, J. Clim., 19, 2867, 10.1175/JCLI3720.1 · DOI
- Wang, 1996, IEEE Trans. Geosci. Rem. Sens., 34, 892, 10.1109/36.508406 · DOI
- Baldridge, 2009, Remote Sens. Environ., 113, 711, 10.1016/j.rse.2008.11.007 · DOI
- Snyder, 1997, Remote Sens. Environ., 60, 101, 10.1016/S0034-4257(96)00166-6 · DOI
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PGDM: Physically guided diffusion model for land surface temperature downscaling
Zhang, H., Tang, B.-H., Hu, T., Jiang, Y., & Li, Z.-L. (2025) · arXiv · doi:10.48550/arxiv.2511.05964 · Cited by 3
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Metadata
- Authors
- Tang, B.-H., Wu, H., Li, C., & Li, Z.-L.
- Affiliations
- Chinese Academy of Sciences (CN)
- Venue
- Optics Express
- Publisher
- Optica Publishing Group
- Published
- 2010-12-22
- Volume
- 19
- Issue
- 1
- Pages
- 185
- ISSN
- 1094-4087 (ISSN-L)
- OpenAlex
- W2051138865
- Cited by
- 49
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2022: 3 · 2021: 4 · 2020: 1 · 2019: 7 · 2018: 4 · 2017: 3 · 2016: 5 · 2015: 3 · 2014: 3 · 2013: 6 · 2012: 6
- FWCI
- 7.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Optics Express (publishedVersion)
- PubMed (publishedVersion)
- Institute of Geographic Sciences and Natural Resources Research, CAS Institutional Repository (submittedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
- Physical Sciences › Engineering › Civil and Structural Engineering › Thermal Radiation and Cooling Technologies
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Keywords
- thermal infrared emissivity
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