Articles | Volume 8, issue 3
https://doi.org/10.5194/amt-8-1197-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-1197-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Mar 2015
Research article |
| 11 Mar 2015
Assessment of the consistency among global microwave land surface emissivity products
Department of Construction Management and Civil Engineering Technology, New York City College of Technology, Brooklyn, New York, USA
M. Temimi
Civil Engineering Department, NOAA-CREST, the City College of New York, New York, New York, USA
Masdar Institute of Science and Technology, Institute Center for Water and Environment (iWater), Abu Dhabi, United Arab Emirates
C. Prigent
Laboratoire d'Etudes du Rayonnement et de la Matière en Astrophysique et Atmosphères, Centre National de la Recherché Scientifique, Paris, France
J. Turk
Jet Propulsion Laboratory, Pasadena, California, USA
R. Khanbilvardi
Civil Engineering Department, NOAA-CREST, the City College of New York, New York, New York, USA
Y. Tian
Univ. Maryland College Park, College Park, Maryland, USA
NASA's Goddard Space Flight Center, Greenbelt, Maryland, USA
F. A. Furuzawa
Hydrospheric Atmospheric Research Center, Nagoya University, Nagoya, Japan
H. Masunaga
Hydrospheric Atmospheric Research Center, Nagoya University, Nagoya, Japan
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Cited
33 citations as recorded by crossref.
- Passive microwave observations of South America and surrounding oceans from Russian Meteor-M No. 2 and Japan GCOM-W1 satellites L. Mitnik et al. https://doi.org/10.1080/01431161.2018.1425569
- Satellite Retrieval of Microwave Land Surface Emissivity under Clear and Cloudy Skies in China Using Observations from AMSR-E and MODIS J. Hu et al. https://doi.org/10.3390/rs13193980
- Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions S. Duan et al. https://doi.org/10.3390/rs12162573
- Diurnal Cycle of Passive Microwave Brightness Temperatures over Land at a Global Scale Z. Sharifnezhad et al. https://doi.org/10.3390/rs13040817
- Estimate of Cloudy-Sky Surface Emissivity From Passive Microwave Satellite Data Using Machine Learning X. Zhu et al. https://doi.org/10.1109/TGRS.2022.3196127
- Calibration to Improve Forward Model Simulation of Microwave Emissivity at GPM Frequencies Over the U.S. Southern Great Plains K. Harrison et al. https://doi.org/10.1109/TGRS.2015.2474120
- Global retrieval of harmonized microwave land surface emissivity leveraging multi-sensor measurements from GMI, AMSR2 and MWRIs J. Hu et al. https://doi.org/10.1016/j.rse.2025.115169
- Land surface temperature variability across India: a remote sensing satellite perspective S. Prakash & H. Norouzi https://doi.org/10.1007/s00704-019-03010-8
- Consistency of precipitation products over the Arabian Peninsula and interactions with soil moisture and water storage Y. Wehbe et al. https://doi.org/10.1080/02626667.2018.1431647
- A Physical Mechanism-Constrained Deep Learning Hybrid Model for Retrieving Surface Temperature Under Nonprecipitation Cloud X. Zhu et al. https://doi.org/10.1109/TGRS.2025.3607942
- Construction and Simulation of Global Land Surface Microwave Emissivity Atlas Using FY-3D Satellite Data Y. Liu et al. https://doi.org/10.1007/s00376-025-5048-7
- An examination of methods for estimating land surface microwave emissivity Y. Tian et al. https://doi.org/10.1002/2015JD023582
- Spatiotemporal Variations of Microwave Land Surface Emissivity (MLSE) over China Derived from Four-Year Recalibrated Fengyun 3B MWRI Data R. Li et al. https://doi.org/10.1007/s00376-022-1314-0
- Retrieving K-Band Instantaneous Microwave Land Surface Emissivity Based on Passive Microwave Brightness Temperature and Atmospheric Precipitable Water Vapor Data F. Zhou et al. https://doi.org/10.1109/JSTARS.2017.2763167
- A Practical Two-Stage Algorithm for Retrieving Land Surface Temperature from AMSR-E Data—A Case Study Over China F. Zhou et al. https://doi.org/10.1109/JSTARS.2018.2799552
- A Remote Sensing-Based Assessment of Water Resources in the Arabian Peninsula Y. Wehbe & M. Temimi https://doi.org/10.3390/rs13020247
- Simulations of Microwave Land Surface Emissivity Using FengYun-3D Microwave Radiation Imager Data: A Case in the Tibetan Plateau Y. Liu et al. https://doi.org/10.1109/JSTARS.2024.3478350
- Evaluation and Inter-Comparison of Satellite Soil Moisture Products Using In Situ Observations over Texas, U.S. R. Ray et al. https://doi.org/10.3390/w9060372
- Assessment of the Sensitivity to the Thermal Roughness Length in Noah and Noah-MP Land Surface Model Using WRF in an Arid Region M. Weston et al. https://doi.org/10.1007/s00024-018-1901-2
- Microwave Land Emissivity Calculations over the Qinghai-Tibetan Plateau Using FY-3B/MWRI Measurements Y. Wu et al. https://doi.org/10.3390/rs11192206
- Assessment of the consistency among global precipitation products over the United Arab Emirates Y. Wehbe et al. https://doi.org/10.1016/j.ejrh.2017.05.002
- Surface Properties of Global Land Surface Microwave Emissivity Derived from FY-3D/MWRI Measurements R. Xu et al. https://doi.org/10.3390/s23125534
- Analysis of the Long-Term Variability of Poor Visibility Events in the UAE and the Link with Climate Dynamics A. Aldababseh & M. Temimi https://doi.org/10.3390/atmos8120242
- A Physics-Based Method for Retrieving Land Surface Emissivities from FengYun-3D Microwave Radiation Imager Data F. Zhou et al. https://doi.org/10.3390/rs16020352
- Global Emissivity Distribution and Change from 2003 to 2007 M. Scott & S. Roy https://doi.org/10.1080/00330124.2015.1089131
- Improved Planetary Boundary Layer Sounding Using Hyperspectral Microwave and Backscatter Lidar Data Fusion A. Gambacorta et al. https://doi.org/10.1109/TGRS.2025.3630972
- Microwave Scanner-Sounder MTVZA-GY on New Russian Meteorological Satellite Meteor-M No. 2: Modeling, Calibration, and Measurements L. Mitnik et al. https://doi.org/10.1109/JSTARS.2017.2695224
- Global Land Surface Emissivity Estimation From AMSR2 Observations S. Prakash et al. https://doi.org/10.1109/LGRS.2016.2581140
- Estimation of Consistent Global Microwave Land Surface Emissivity from AMSR-E and AMSR2 Observations S. Prakash et al. https://doi.org/10.1175/JAMC-D-17-0213.1
- An observationally based method for stratifying a priori passive microwave observations in a Bayesian‐based precipitation retrieval framework F. Turk et al. https://doi.org/10.1002/qj.3203
- Retrieval of Desert Microwave Land Surface Emissivity Based on Machine Learning Algorithms J. Li et al. https://doi.org/10.3390/rs16010089
- Identifying Desert Regions for Improved Intercalibration of Satellite Microwave Radiometers S. Datta et al. https://doi.org/10.1109/JSTARS.2018.2796184
- Dynamic Inversion of Global Surface Microwave Emissivity Using a 1DVAR Approach S. Boukabara et al. https://doi.org/10.3390/rs10050679
33 citations as recorded by crossref.
- Passive microwave observations of South America and surrounding oceans from Russian Meteor-M No. 2 and Japan GCOM-W1 satellites L. Mitnik et al. https://doi.org/10.1080/01431161.2018.1425569
- Satellite Retrieval of Microwave Land Surface Emissivity under Clear and Cloudy Skies in China Using Observations from AMSR-E and MODIS J. Hu et al. https://doi.org/10.3390/rs13193980
- Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions S. Duan et al. https://doi.org/10.3390/rs12162573
- Diurnal Cycle of Passive Microwave Brightness Temperatures over Land at a Global Scale Z. Sharifnezhad et al. https://doi.org/10.3390/rs13040817
- Estimate of Cloudy-Sky Surface Emissivity From Passive Microwave Satellite Data Using Machine Learning X. Zhu et al. https://doi.org/10.1109/TGRS.2022.3196127
- Calibration to Improve Forward Model Simulation of Microwave Emissivity at GPM Frequencies Over the U.S. Southern Great Plains K. Harrison et al. https://doi.org/10.1109/TGRS.2015.2474120
- Global retrieval of harmonized microwave land surface emissivity leveraging multi-sensor measurements from GMI, AMSR2 and MWRIs J. Hu et al. https://doi.org/10.1016/j.rse.2025.115169
- Land surface temperature variability across India: a remote sensing satellite perspective S. Prakash & H. Norouzi https://doi.org/10.1007/s00704-019-03010-8
- Consistency of precipitation products over the Arabian Peninsula and interactions with soil moisture and water storage Y. Wehbe et al. https://doi.org/10.1080/02626667.2018.1431647
- A Physical Mechanism-Constrained Deep Learning Hybrid Model for Retrieving Surface Temperature Under Nonprecipitation Cloud X. Zhu et al. https://doi.org/10.1109/TGRS.2025.3607942
- Construction and Simulation of Global Land Surface Microwave Emissivity Atlas Using FY-3D Satellite Data Y. Liu et al. https://doi.org/10.1007/s00376-025-5048-7
- An examination of methods for estimating land surface microwave emissivity Y. Tian et al. https://doi.org/10.1002/2015JD023582
- Spatiotemporal Variations of Microwave Land Surface Emissivity (MLSE) over China Derived from Four-Year Recalibrated Fengyun 3B MWRI Data R. Li et al. https://doi.org/10.1007/s00376-022-1314-0
- Retrieving K-Band Instantaneous Microwave Land Surface Emissivity Based on Passive Microwave Brightness Temperature and Atmospheric Precipitable Water Vapor Data F. Zhou et al. https://doi.org/10.1109/JSTARS.2017.2763167
- A Practical Two-Stage Algorithm for Retrieving Land Surface Temperature from AMSR-E Data—A Case Study Over China F. Zhou et al. https://doi.org/10.1109/JSTARS.2018.2799552
- A Remote Sensing-Based Assessment of Water Resources in the Arabian Peninsula Y. Wehbe & M. Temimi https://doi.org/10.3390/rs13020247
- Simulations of Microwave Land Surface Emissivity Using FengYun-3D Microwave Radiation Imager Data: A Case in the Tibetan Plateau Y. Liu et al. https://doi.org/10.1109/JSTARS.2024.3478350
- Evaluation and Inter-Comparison of Satellite Soil Moisture Products Using In Situ Observations over Texas, U.S. R. Ray et al. https://doi.org/10.3390/w9060372
- Assessment of the Sensitivity to the Thermal Roughness Length in Noah and Noah-MP Land Surface Model Using WRF in an Arid Region M. Weston et al. https://doi.org/10.1007/s00024-018-1901-2
- Microwave Land Emissivity Calculations over the Qinghai-Tibetan Plateau Using FY-3B/MWRI Measurements Y. Wu et al. https://doi.org/10.3390/rs11192206
- Assessment of the consistency among global precipitation products over the United Arab Emirates Y. Wehbe et al. https://doi.org/10.1016/j.ejrh.2017.05.002
- Surface Properties of Global Land Surface Microwave Emissivity Derived from FY-3D/MWRI Measurements R. Xu et al. https://doi.org/10.3390/s23125534
- Analysis of the Long-Term Variability of Poor Visibility Events in the UAE and the Link with Climate Dynamics A. Aldababseh & M. Temimi https://doi.org/10.3390/atmos8120242
- A Physics-Based Method for Retrieving Land Surface Emissivities from FengYun-3D Microwave Radiation Imager Data F. Zhou et al. https://doi.org/10.3390/rs16020352
- Global Emissivity Distribution and Change from 2003 to 2007 M. Scott & S. Roy https://doi.org/10.1080/00330124.2015.1089131
- Improved Planetary Boundary Layer Sounding Using Hyperspectral Microwave and Backscatter Lidar Data Fusion A. Gambacorta et al. https://doi.org/10.1109/TGRS.2025.3630972
- Microwave Scanner-Sounder MTVZA-GY on New Russian Meteorological Satellite Meteor-M No. 2: Modeling, Calibration, and Measurements L. Mitnik et al. https://doi.org/10.1109/JSTARS.2017.2695224
- Global Land Surface Emissivity Estimation From AMSR2 Observations S. Prakash et al. https://doi.org/10.1109/LGRS.2016.2581140
- Estimation of Consistent Global Microwave Land Surface Emissivity from AMSR-E and AMSR2 Observations S. Prakash et al. https://doi.org/10.1175/JAMC-D-17-0213.1
- An observationally based method for stratifying a priori passive microwave observations in a Bayesian‐based precipitation retrieval framework F. Turk et al. https://doi.org/10.1002/qj.3203
- Retrieval of Desert Microwave Land Surface Emissivity Based on Machine Learning Algorithms J. Li et al. https://doi.org/10.3390/rs16010089
- Identifying Desert Regions for Improved Intercalibration of Satellite Microwave Radiometers S. Datta et al. https://doi.org/10.1109/JSTARS.2018.2796184
- Dynamic Inversion of Global Surface Microwave Emissivity Using a 1DVAR Approach S. Boukabara et al. https://doi.org/10.3390/rs10050679
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