37 citations as recorded by crossref.

1. Optimal Interpolation for Infrared Products from Hyperspectral Satellite Imagers and Sounders I. De Feis et al. https://doi.org/10.3390/s20082352
2. Daytime Sea Surface Temperature Retrieval Incorporating Mid-Wave Imager Measurements: Algorithm Development and Validation P. Koner https://doi.org/10.1109/TGRS.2020.3008656
3. Modeling the Distributions of Brightness Temperatures of a Cropland Study Area Using a Model that Combines Fast Radiosity and Energy Budget Methods Z. Bian et al. https://doi.org/10.3390/rs10050736
4. Directional variation in surface emissivity inferred from the MYD21 product and its influence on estimated surface upwelling longwave radiation T. Hu et al. https://doi.org/10.1016/j.rse.2019.04.012
5. Benefits of the EUMETSAT Polar System – Second Generation (EPS-SG) for Arctic and Northern Regions Monitoring and Applications P. Schlüssel & B. Bojkov https://doi.org/10.1080/07038992.2019.1598853
6. Land Surface Temperature Retrieval from Fengyun-3D Medium Resolution Spectral Imager II (FY-3D MERSI-II) Data with the Improved Two-Factor Split-Window Algorithm W. Du et al. https://doi.org/10.3390/rs13245072
7. A normal form for synchronous land surface temperature and emissivity retrieval using deep learning coupled physical and statistical methods H. Wang et al. https://doi.org/10.1016/j.jag.2024.103704
8. Land Surface Condition-Driven Emissivity Variation and Its Impact on Diurnal Land Surface Temperature Retrieval Uncertainty L. Wang et al. https://doi.org/10.3390/rs17142353
9. On the geometric accuracy and stability of MSG SEVIRI images V. Debaecker et al. https://doi.org/10.1016/j.atmosenv.2021.118645
10. Physical Retrieval of Land Surface Emissivity Spectra from Hyper-Spectral Infrared Observations and Validation with In Situ Measurements G. Masiello et al. https://doi.org/10.3390/rs10060976
11. Integrating urban development and ecological sustainability: a study on land surface temperature and urban heat island effect in a Karst River Basin Y. Wu et al. https://doi.org/10.3389/fbuil.2024.1457347
12. Validation and consistency assessment of land surface temperature from geostationary and polar orbit platforms: SEVIRI/MSG and AVHRR/Metop I. Trigo et al. https://doi.org/10.1016/j.isprsjprs.2021.03.013
13. A multi-sensor approach to retrieve emissivity angular dependence over desert regions S. Ermida et al. https://doi.org/10.1016/j.rse.2019.111559
14. Online Global Land Surface Temperature Estimation from Landsat D. Parastatidis et al. https://doi.org/10.3390/rs9121208
15. Estimating Land Surface Temperature from Feng Yun-3C/MERSI Data Using a New Land Surface Emissivity Scheme X. Meng et al. https://doi.org/10.3390/rs9121247
16. Can We Detect the Brownness or Greenness of the Congo Rainforest Using Satellite-Derived Surface Albedo? A Study on the Role of Aerosol Uncertainties S. Moparthy et al. https://doi.org/10.3390/su11051410
17. A Combined Vegetation Cover and Temperature-Emissivity Separation (V-TES) Method to Estimate Land Surface Emissivity S. Ermida et al. https://doi.org/10.1109/TGRS.2023.3301615
18. Improving Land Surface Temperature Retrievals over Mountainous Regions V. Bento et al. https://doi.org/10.3390/rs9010038
19. Machine Learning to Retrieve Gap-Free Land Surface Temperature from Infrared Atmospheric Sounding Interferometer Observations F. Della Rocca et al. https://doi.org/10.3390/rs17040694
20. Global Land Surface Temperature Influenced by Vegetation Cover and PM2.5 from 2001 to 2016 Z. Song et al. https://doi.org/10.3390/rs10122034
21. Spatio-temporal resolution enhancement for cloudy thermal sequences P. Addesso et al. https://doi.org/10.1080/22797254.2018.1526045
22. A Software Tool for Atmospheric Correction and Surface Temperature Estimation of Landsat Infrared Thermal Data B. Tardy et al. https://doi.org/10.3390/rs8090696
23. Simulations of micro-sphere/shell 2D silica photonic crystals for radiative cooling G. Whitworth et al. https://doi.org/10.1364/OE.420989
24. Spatiotemporal analysis of urban heat island intensification in the city of Minneapolis-St. Paul and Chicago metropolitan areas using Landsat data from 1984 to 2016 M. Mbuh et al. https://doi.org/10.1080/10106049.2019.1655802
25. Microwave Land Emissivity Calculations over the Qinghai-Tibetan Plateau Using FY-3B/MWRI Measurements Y. Wu et al. https://doi.org/10.3390/rs11192206
26. A global long-term (1981–2000) land surface temperature product for NOAA AVHRR J. Ma et al. https://doi.org/10.5194/essd-12-3247-2020
27. Development of Himawari-8/Advanced Himawari Imager (AHI) Land Surface Temperature Retrieval Algorithm Y. Choi & M. Suh https://doi.org/10.3390/rs10122013
28. Optimization of the Local Split-Window Algorithm for FY-4A Land Surface Temperature Retrieval L. Wang et al. https://doi.org/10.3390/rs11172016
29. Estimation of Land Surface Temperature in an Agricultural Region of Bangladesh from Landsat 8: Intercomparison of Four Algorithms M. Sajib & T. Wang https://doi.org/10.3390/s20061778
30. Multi-scale remote sensing retrieval model for land surface emissivity and its impact on land surface temperature estimation L. Wang et al. https://doi.org/10.1080/01431161.2024.2326046
31. Sensitivity of Landsat 8 Surface Temperature Estimates to Atmospheric Profile Data: A Study Using MODTRAN in Dryland Irrigated Systems J. Rosas et al. https://doi.org/10.3390/rs9100988
32. TROPOMI NO2 Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations A. Cersosimo et al. https://doi.org/10.3390/rs12142212
33. Long Term Validation of Land Surface Temperature Retrieved from MSG/SEVIRI with Continuous in-Situ Measurements in Africa F. Göttsche et al. https://doi.org/10.3390/rs8050410
34. SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval G. Masiello et al. https://doi.org/10.3390/s19071532
35. Contribution of Photogrammetry for Geometric Quality Assessment of Satellite Data for Global Climate Monitoring S. Kocaman & G. Seiz https://doi.org/10.3390/rs15184575
36. Estimation of the Land Surface Temperature over the Tibetan Plateau by Using Chinese FY-2C Geostationary Satellite Data Y. Hu et al. https://doi.org/10.3390/s18020376
37. Enhancing Information Content in the Satellite-Derived Daytime Infrared Sea Surface Temperature Dataset Using a Transformative Approach P. Koner https://doi.org/10.3389/fmars.2020.556626