High-resolution urban thermal sharpener (HUTS)
Open accessAbstract
A high resolution urban thermal sharpener (HUTS) was developed that increases the resolution of thermal infrared (TIR) data to that of visible and near infrared (VNIR) data by fitting the relationship between radiometric surface temperature, normalized difference vegetation index (NDVI) and surface albedo (α). HUTS was applied to TIR data aggregated to 90m to represent a satellite acquired dataset and validated against the measured 10m data from an aircraft over San Juan, Puerto Rico. HUTS sharpening reduced the root mean square error of surface temperature at the high resolution by 17% compared to no sharpening and outperformed other sharpening methods. HUTS is proposed as a useful tool to study urban meteorology and climatology at the microscale using ASTER satellite data.
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
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.
Cites
No references could be resolved yet.
Research works printed but not linked: 16
- Agam, N. W., W. P. Kustas, M. C. Anderson, F. Li, P. D. Colaizzi (2008). Utility of thermal image sharpening for monitoring field-scale evapotranspiration over rainfed and irrigated agricultural regions. Geophysical Research Letters 35 .
- Agam, N. W., W. P. Kustas, M. C. Anderson, F. Li, P. D. Colaizzi (2007). Utility of thermal sharpening over Texas high plains irrigated agricultural field. Journal of Geophysical Research, Vol. 112 .
- Barducci, A. and I. Pippi (1996). Temperature and emissivity retrieval from remotely sensed images using the "grey body emissivity" method, IEEE Transactions on Geoscience and Remote Sensing, 34:3 681-695.
- Beniston, M. (2004). The 2003 heat wave in Europe: A shape of things to come? An analysis based on Swiss climatological data and model simulations, Geophysical Research Letters, 31, L02202
- Bou-Zeid, E. and M. B. Parlange (2007). On the parameterization of surface roughness at regional scales, Journal of the Atmospheric Sciences, 64, 216 -227.
- Castillo, M.C.L., M. Kanda, M.O. Letzel (2009). Heat Ventilation Efficiency of Urban Surfaces Using Large-Eddy Simulation, Annual Journal of Hydraulic Engineering, JSCE, 53, 175-180
- Di Sabatino S., Leo L.S., Hedquist B.C., Carter W., Fernando H.J.S. (2009). Results from the Phoenix Urban Heat Island (UHI) experiment: effects at the local, neighbourhood and urban scales. Geophysical Research Abstracts, Vol. 11, EGU2009-12778, 2009 EGU General Assembly
- Parsiani, H., Ramírez, N., Vázquez, R., Williams, R., Waide, R. B., Tepley, C. A., 2005. Urban heat islands developing in coastal tropical cities. EOS Transactions, AGU 86, 42, pp. 397 & 403.
- González, J. E., Luvall, J. C., Rickman, D., Comarazamy, D. E., Picón, A. J., 2006. Urban Heat Island identification and climatological analysis in a coastal, tropical city: San Juan, Puerto Rico, in: Q. Weng and D Quattrochi (Eds.), Urban Remote Sensing, CRC Press, Boca Raton, FL, pp. 223- 252.
- Guo, L.J., and J. McMoore (1998). Pixel block intensity modulation: Adding spatial detail to TM band 6 thermal imagery, International Journal of Remote Sensing, 19:2477-2491
- Hung, T., D. Uchihama, S. Ochi, Y. Yasuoka (2006). Assessment with satellite data of the urban heat island effects in Asian mega cities, International Journal of Applied Earth Observation and Geoinformation 8, 34-48.
- Kealy, P. S. and S. J. Hook (1993). Separating temperature and emissivity in thermal infrared multispectral scanner data: implications for recovering land surface temperatures, IEEE Transactions on Geoscience and Remote Sensing, 31:6 1155-1164.
- Lebassi, B ., J. Gonzalez, D. Fabris, E. Maurer, N. Miller, C. Milesi, P. Switzer, R. Bornstein (2009). Observed 1970-2005 Cooling of Summer Daytime Temperatures in Coastal California, Journal of Climate, 22, 3558-3573.
- Lo, C. P. , D.A. Quattrochi, J.C. Luvall (1997). Application of high-resolution thermal infrared remote sensing and GIS to asses the urban heat island effect. International Journal of Remote Sensing , 18:2, 287-304.
- Rickman, D. L., J. C. Luvall, S. Schiller (2000). An algorithm to atmospherically correct visible and thermal airborne imagery, Workshop on Multi/Hyperspectral Technology and Applications, Redstone Aresenal, Alabama.
- Yaghoobian, N., J. Kleissl, E. S. Krayenhoff (2010). Modeling the Thermal Effects of Artificial Turf on the Urban Environment, Journal of Applied Meteorology and Climatology, 49:3, 332-345
Cited by
Sorted by citations
Evaluation of Machine Learning Algorithms in Spatial Downscaling of MODIS Land Surface Temperature
Li, W., Ni, L., Li, Z.-L., Duan, S.-B., & Wu, H. (2019) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2019.2896923 · Cited by 145 · see citing works
Chen, T.-L., Lin, H., & Chiu, Y.-H. (2022) · Urban Climate · doi:10.1016/j.uclim.2021.101054 · Cited by 56 · see citing works
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 · see citing works
- Authors
- Dominguez, A., Kleissl, J., Luvall, J. C., & Rickman, D. L.
- Affiliations
- University of California San Diego (US)
- Marshall Space Flight Center (US)
- Corresponding author
- Kleissl, Jan
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 115
- Issue
- 7
- Pages
- 1772-1780
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2116327754
- Cited by
- 165
- References
- 0
- Citations by year
- 2026: 12 · 2025: 17 · 2024: 8 · 2023: 13 · 2022: 14 · 2021: 16 · 2020: 11 · 2019: 19 · 2018: 7 · 2017: 8 · 2016: 15 · 2015: 7 · 2014: 8 · 2013: 4 · 2012: 4
- FWCI
- 4.80
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Remote Sensing of Environment (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Science Foundation (CAREER)
- National Aeronautics and Space Administration
- National Oceanic and Atmospheric Administration
- Office of Experimental Program to Stimulate Competitive Research
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Physical Sciences › Environmental Science › Environmental Engineering › Soil Moisture and Remote Sensing
- Physical Sciences › Engineering › Media Technology › Advanced Image Fusion Techniques
- Keywords
- surface temperature, NDVI, surface albedo, ASTER, urban meteorology, image super-resolution, San Juan, Puerto Rico
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
