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Detection and Analysis of C-Band Radio Frequency Interference in AMSR2 Data over Land

Ying Wu, Bo Qian, Yansong Bao, Meixin Li, George P. Petropoulos, Xulin Liu, Lin Li
2019 Remote Sensing  
A simplified generalized radio frequency interference (RFI) detection method and principal component analysis (PCA) method are utilized to detect and attribute the sources of C-band RFI in AMSR2 L1 brightness  ...  temperature data over land during 1–16 July 2017.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11101228 fatcat:x2vr57ykkrfzdf4fur2w3clk7m

Radio-Frequency Interference Identification Over Oceans for C- and X-Band AMSR2 Channels

Elizaveta V. Zabolotskikh, Leonid M. Mitnik, Bertrand Chapron
2015 IEEE Geoscience and Remote Sensing Letters  
A new method for radio-frequency interference (RFI) contamination identification over open oceans for the two C-subbands and X-band of Advanced Microwave Scanning Radiometer 2 (AMSR2) channel measurements  ...  The method is based both on the AMSR2 brightness temperature (T-B) modeling and on the analysis of AMSR2 measurements over oceans.  ...  Nevertheless the developed simple criteria can be used to detect most RFI contaminated pixels over the World Ocean for AMSR2 measurements in two C-sub-bands and X-band.  ... 
doi:10.1109/lgrs.2015.2420120 fatcat:gljtk7s3wzet3gpb23wtaicxfe

A Preliminary Study toward Consistent Soil Moisture from AMSR2

Robert M. Parinussa, Thomas R. H. Holmes, Niko Wanders, Wouter A. Dorigo, Richard A. M. de Jeu
2015 Journal of Hydrometeorology  
The novel soil moisture retrievals from C-band observations, a frequency band that is lacking on board the TRMM satellite, are also presented.  ...  Care should be taken in the interpretation of the presented soil moisture products, and future research is needed to further align the AMSR2 and AMSR-E sensor calibrations.  ...  The authors greatly thank William Teng and Fan Fang from the GES DISC, as part of a NASA-funded project NNH08ZDA001N-DECISIONS, for providing the WindSat data.  ... 
doi:10.1175/jhm-d-13-0200.1 fatcat:mg66v7y6mvextgvr36f4b6tanq

Cross-Validation of Radio-Frequency-Interference Signature in Satellite Microwave Radiometer Observations over the Ocean

Ying Wu, Meixin Li, Yansong Bao, George P. Petropoulos
2020 Remote Sensing  
Radio-frequency-interference (RFI) signals have gradually become a more serious problem in active and passive microwave remote sensing.  ...  Radiometer 2 (AMSR2) ocean data.  ...  Acknowledgments: The numerical calculations in this paper have been done on the supercomputing system in the Supercomputing Center of Nanjing University of Information Science & Technology.  ... 
doi:10.3390/rs12203433 fatcat:6oznlenl6jbp3dhvf7mosdfr5a

SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures

Thomas Meissner, Andrew Manaster
2021 Remote Sensing  
Our analysis finds a strong correlation between 8-day averaged SMAP L-band brightness temperature (TB) bias and TB measurements from the Advanced Microwave Scanning Radiometer (AMSR2) in the C-through  ...  Ka-band frequency range for sea-ice contaminated ocean scenes.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/rs13245120 pmid:35136668 pmcid:PMC8819735 fatcat:qfuzo7i2ufdw5jyvqzrqg5vx2m

A Physics-Based Method for Retrieving Land Surface Emissivities from FengYun-3D Microwave Radiation Imager Data

Fangcheng Zhou, Xiuzhen Han, Shihao Tang, Guangzhen Cao, Xiaoning Song, Binqian Wang
2024 Remote Sensing  
Lower-frequency channels showed larger emissivity differences with different polarizations than those of higher-frequency channels in barren or sparsely vegetated regions.  ...  The passive microwave land surface emissivity (MLSE) plays a crucial role in retrieving various land surface and atmospheric parameters and in Numerical Weather Prediction models.  ...  Significant appreciation is also given to all the data centers, which provided essential help in obtaining the datasets. Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/rs16020352 fatcat:lesnvv642nhkrekpqi53alamvi

Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas

Hyunglok Kim, Muhammad Zohaib, Eunsang Cho, Yann H. Kerr, Minha Choi
2017 Advances in Meteorology  
We have first developed a modeled aerosol optical depth (AOD) dataset by utilizing Soil Moisture and Ocean Salinity (SMOS), Advanced Microwave Scanning Radiometer 2 (AMSR2), and the Global Land Data Assimilation  ...  System (GLDAS) soil moisture datasets in order to estimate dust outbreaks over desert areas of East Asia.  ...  However, the L-band is negatively impacted by radio frequency interference (RFI) from illegal emissions in the protected passive band and unwanted emissions from active services operating in neighboring  ... 
doi:10.1155/2017/1917372 fatcat:25wi3uklu5civodtrpe2z5infe

Evaluation and Inter-Comparison of Satellite Soil Moisture Products Using In Situ Observations over Texas, U.S

Ram Ray, Ali Fares, Yiping He, Marouane Temimi
2017 Water  
at 15 different locations in Texas over six major land cover types (cropland, shrub, grassland, forest, pasture and developed) and eight climate zones along with in situ SM data from 15 Mesonet, USCRN  ...  The quality of the generated SM data is influenced by the accuracy and precision of the sensors and the retrieval algorithms used in processing raw data.  ...  Acknowledgments: This work has been partially funded by the Evans-Allen project of the National Institute  ... 
doi:10.3390/w9060372 fatcat:h3llf2ejnzgubaggbv6fvnh56e

Validation of the New Algorithm for Rain Rate Retrieval from AMSR2 Data Using TMI Rain Rate Product

Elizaveta Zabolotskikh, Bertrand Chapron
2015 Advances in Meteorology  
AMSR2 brightness temperature differences at C- and X-band channels are then used as inputs to train a neural network (NN) function for RR retrieval.  ...  The algorithm is based on the numerical simulation of brightness temperatures (TB) for AMSR2 lower frequency channels, using a simplified radiation transfer model.  ...  Acknowledgments Funding for this research was provided by the Mega-Grant of the Russian Federation Government to support scientific research under the supervision of leading scientist at RSHU,  ... 
doi:10.1155/2015/492603 fatcat:iyxvseuxxjdtde6vzrkdqktgeq

Evaluation of SMOS, SMAP, AMSR2 and FY-3C soil moisture products over China

Jiazhi Fan, Man Luo, Qinzhe Han, Fulai Liu, Wanhua Huang, Shiqi Tan, Andrea Storto
2022 PLoS ONE  
Global Land Data Assimilation System (GLDAS) soil moisture data were used as a reference for comparative analysis, and triple collocation analysis was used to validate data from four mainstream passive  ...  The effects of topography, land cover, and meteorological factors on the accuracy of soil moisture observation data were determined.  ...  The AMSR-2 L3 X-band (10.7 GHz) soil moisture product from the Land Parameter Retrieval Model (LPRM) can avoid radio frequency interference (RFI). It has a resolution of 25 km.  ... 
doi:10.1371/journal.pone.0266091 pmid:35390019 pmcid:PMC8989296 fatcat:h3jp7pl77ndw7oecsstxaeda44

The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People's Republic of China

Robert Parinussa, Guojie Wang, Yi Liu, Daniel Hagan, Fenfang Lin, Robin van der Schalie, Richard de Jeu
2017 Remote Sensing  
We also find that passive microwave observations in the AMSR2 C-band frequency (6.9 GHz) have an advantage over the AMSR2 X-band frequency (10.7 GHz) over moderate to densely vegetated regions.  ...  Unfortunately, Radio Frequency Interference hampers the usefulness of soil moisture products for the SMOS L-band mission, leading to a significantly reduced revisit time over the densely populated eastern  ...  Acknowledgments: This work has been undertaken as part of an internal program at the Nanjing University of Information Science and Technology and is supported by projects of the National Natural Science  ... 
doi:10.3390/rs9020149 fatcat:ebuutbneynee3mompv5q52bns4

Inter-Calibration of Satellite Passive Microwave Land Observations from AMSR-E and AMSR2 Using Overlapping FY3B-MWRI Sensor Measurements

Jinyang Du, John Kimball, Jiancheng Shi, Lucas Jones, Shengli Wu, Ruijing Sun, Hu Yang
2014 Remote Sensing  
We developed an empirical approach for inter-calibration of satellite microwave brightness temperature (T b ) records over land from the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and Microwave  ...  The development and continuity of consistent long-term data records from similar overlapping satellite observations is critical for global monitoring and environmental change assessments.  ...  Acknowledgments The AMSR2 L1R brightness temperature data used for this study were provided courtesy of JAXA.  ... 
doi:10.3390/rs6098594 fatcat:xviyd5do6bgpfeuolojktqlhae

A global satellite environmental data record derived from AMSR-E and AMSR2 microwave earth observations

Jinyang Du, John S. Kimball, Lucas A. Jones, Youngwook Kim, Joseph Glassy, Jennifer D. Watts
2017 Earth System Dynamics Discussions  
Global mapping of the land parameter climatology means and seasonal variability over the full-year records from AMSR-E (2003&amp;ndash;2010) and AMSR2 (2013&amp;ndash;2015) observation periods is consistent  ...  A new global land parameter data record (LPDR) was generated using similar calibrated, multi-frequency brightness temperature (<i>T<sub>b</sub></i>) retrievals from the Advanced Microwave Scanning Radiometer  ...  AMSR-E data and land cover classification maps were also provided courtesy of the National Snow and Ice Data Center (NSIDC). The AMSR2 L1R data used for this study were provided courtesy of JAXA.  ... 
doi:10.5194/essd-2017-27 fatcat:qj7sp56vuzb3zdnw53may7wpu4

A global satellite environmental data record derived from AMSR-E and AMSR2 microwave Earth observations

Jinyang Du, John S. Kimball, Lucas A. Jones, Youngwook Kim, Joseph Glassy, Jennifer D. Watts
2017 Earth System Science Data  
Global mapping of the land parameter climatology means and seasonal variability over the full-year records from AMSR-E (2003–2010) and AMSR2 (2013–2015) observation periods is consistent with characteristic  ...  Statistical analysis shows overall LPDR consistency but with small biases between AMSR-E and AMSR2 retrievals that should be considered when evaluating long-term environmental trends.  ...  AMSR-E data and land cover classification maps were also provided courtesy of the National Snow and Ice Data Center (NSIDC). The AMSR2 L1R data used for this study were provided courtesy of JAXA.  ... 
doi:10.5194/essd-9-791-2017 fatcat:tow4rpi3ljam5i5n5w36wx6f4e

Validation of AMSR2 Sea Surface Temperture

Chelle Gentemann
2015 Zenodo  
; data are quality controlled for contamination by rain, sea ice, sun glint, and radio frequency interference (RFI) • This presentation specifically uses AMSR2, RSS Version 7.2, which includes: • Small  ...  thermistors 10 In Situ Data RFI Sources • ITU regulations prohibit operation of transmitters above a specified power level within protected bandsAMSR2 channels centered in bands, but • The complete  ... 
doi:10.5281/zenodo.5590097 fatcat:hxjpturr5beifaozkhhbnimm5u
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