Relevant bibliographies by topics / Advanced Microwave Scanning Radiometer-2 (AMSR2)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Advanced Microwave Scanning Radiometer-2 (AMSR2)'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Advanced Microwave Scanning Radiometer-2 (AMSR2)"

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Parinussa, Robert M., Thomas R. H. Holmes, Niko Wanders, Wouter A. Dorigo, and Richard A. M. de Jeu. "A Preliminary Study toward Consistent Soil Moisture from AMSR2." Journal of Hydrometeorology 16, no. 2 (2015): 932–47. http://dx.doi.org/10.1175/jhm-d-13-0200.1.

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Abstract A preliminary study toward consistent soil moisture products from the Advanced Microwave Scanning Radiometer 2 (AMSR2) is presented. Its predecessor, the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E), has provided Earth scientists with a consistent and continuous global soil moisture dataset. A major challenge remains to achieve synergy between these soil moisture datasets, which is hampered by the lack of an overlapping observation period of the sensors. Here, observations of the multifrequency microwave radiometer on board the Tropical Rainfall Measuring
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Sun, Weifu, Jin Wang, Yuheng Li, Junmin Meng, Yujia Zhao, and Peiqiang Wu. "New Gridded Product for the Total Columnar Atmospheric Water Vapor over Ocean Surface Constructed from Microwave Radiometer Satellite Data." Remote Sensing 13, no. 12 (2021): 2402. http://dx.doi.org/10.3390/rs13122402.

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Based on the optimal interpolation (OI) algorithm, a daily fusion product of high-resolution global ocean columnar atmospheric water vapor with a resolution of 0.25° was generated in this study from multisource remote sensing observations. The product covers the period from 2003 to 2018, and the data represent a fusion of microwave radiometer observations, including those from the Special Sensor Microwave Imager Sounder (SSMIS), WindSat, Advanced Microwave Scanning Radiometer for Earth Observing System sensor (AMSR-E), Advanced Microwave Scanning Radiometer 2 (AMSR2), and HY-2A microwave radio
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Zabolotskikh, E. V., and B. Chapron. "MODELING X-BAND MICROWAVE RADIATION OF THE ARCTIC SEAS BASED ON SATELLITE OBSERVATIONS: TAKING INTO ACCOUNT A MEASUREMENT ANGLE." Meteorologiya i Gidrologiya, no. 4 (2021): 69–77. http://dx.doi.org/10.52002/0130-2906-2021-4-69-77.

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The ocean X-band microwave emission model for modeling measurements of satellite radiometers over the cold Arctic seas at an observation angle of 65° is proposed. The model is based on the experimental geophysical model function (GMF) of microwave emission dependence on surface wind speed for an angle of 55°, that was developed from the AMSR2 (Advanced Microwave Scanning Radiometer 2) measurements and the two-scale theory of the ocean microwave radiation. The experimental GMF is derived from the comparison of AMSR2 measurements over the Arctic seas with surface wind speeds retrieved from these
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Hagan, Daniel Fiifi Tawia, Guojie Wang, Seokhyeon Kim, et al. "Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging." Remote Sensing 12, no. 13 (2020): 2164. http://dx.doi.org/10.3390/rs12132164.

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In this study, an existing combination approach that maximizes temporal correlations is used to combine six passive microwave satellite soil moisture products from 1998 to 2015 to assess its added value in long-term applications. Five of the products used are included in existing merging schemes such as the European Space Agency’s essential climate variable soil moisture (ECV) program. These include the Special Sensor Microwave Imagers (SSM/I), the Tropical Rainfall Measuring Mission (TRMM/TMI), the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) sensor on the National A
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Okuyama, Arata, and Keiji Imaoka. "Intercalibration of Advanced Microwave Scanning Radiometer-2 (AMSR2) Brightness Temperature." IEEE Transactions on Geoscience and Remote Sensing 53, no. 8 (2015): 4568–77. http://dx.doi.org/10.1109/tgrs.2015.2402204.

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Fang, Bin, Venkat Lakshmi, Rajat Bindlish, and Thomas Jackson. "AMSR2 Soil Moisture Downscaling Using Temperature and Vegetation Data." Remote Sensing 10, no. 10 (2018): 1575. http://dx.doi.org/10.3390/rs10101575.

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Soil moisture (SM) applications in terrestrial hydrology require higher spatial resolution soil moisture products than those provided by passive microwave remote sensing instruments (grid resolution of 9 km or larger). In this investigation, an innovative algorithm that uses visible/infrared remote sensing observations to downscale Advanced Microwave Scanning Radiometer 2 (AMSR2) coarse spatial resolution SM products was developed and implemented for use with data provided by the Advanced Microwave Scanning Radiometer 2 (AMSR2). The method is based on using the Normalized Difference Vegetation
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Du, Jinyang, John S. Kimball, Lucas A. Jones, Youngwook Kim, Joseph Glassy, and Jennifer D. Watts. "A global satellite environmental data record derived from AMSR-E and AMSR2 microwave Earth observations." Earth System Science Data 9, no. 2 (2017): 791–808. http://dx.doi.org/10.5194/essd-9-791-2017.

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Abstract. Spaceborne microwave remote sensing is widely used to monitor global environmental changes for understanding hydrological, ecological, and climate processes. A new global land parameter data record (LPDR) was generated using similar calibrated, multifrequency brightness temperature (Tb) retrievals from the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and the Advanced Microwave Scanning Radiometer 2 (AMSR2). The resulting LPDR provides a long-term (June 2002–December 2015) global record of key environmental observations at a 25 km grid cell resolution, including surface fra
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Prakash, Satya, Hamid Norouzi, Marzi Azarderakhsh, Reginald Blake, Catherine Prigent, and Reza Khanbilvardi. "Estimation of Consistent Global Microwave Land Surface Emissivity from AMSR-E and AMSR2 Observations." Journal of Applied Meteorology and Climatology 57, no. 4 (2018): 907–19. http://dx.doi.org/10.1175/jamc-d-17-0213.1.

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AbstractAccurate estimation of passive microwave land surface emissivity (LSE) is crucial for numerical weather prediction model data assimilation, for microwave retrievals of land precipitation and atmospheric profiles, and for a better understanding of land surface and subsurface characteristics. In this study, global instantaneous LSE is estimated for a 9-yr period from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) and for a 5-yr period from the Advanced Microwave Scanning Radiometer 2 (AMSR2) sensors. Estimates of LSE from both sensors were obtained by usin
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Kim, Daesun, No-Wook Park, Nari Kim, et al. "Downscaling Advanced Microwave Scanning Radiometer 2 (AMSR2) Soil Moisture Data Using Regression-kriging." Journal of the Korean Cartographic Association 17, no. 2 (2017): 99–110. http://dx.doi.org/10.16879/jkca.2017.17.2.099.

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Dworak, Richard, Yinghui Liu, Jeffrey Key, and Walter N. Meier. "A Blended Sea Ice Concentration Product from AMSR2 and VIIRS." Remote Sensing 13, no. 15 (2021): 2982. http://dx.doi.org/10.3390/rs13152982.

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An effective blended Sea-Ice Concentration (SIC) product has been developed that utilizes ice concentrations from passive microwave and visible/infrared satellite instruments, specifically the Advanced Microwave Scanning Radiometer-2 (AMSR2) and the Visible Infrared Imaging Radiometer Suite (VIIRS). The blending takes advantage of the all-sky capability of the AMSR2 sensor and the high spatial resolution of VIIRS, though it utilizes only the clear sky characteristics of VIIRS. After both VIIRS and AMSR2 images are remapped to a 1 km EASE-Grid version 2, a Best Linear Unbiased Estimator (BLUE)
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Dissertations / Theses on the topic "Advanced Microwave Scanning Radiometer-2 (AMSR2)"

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Gunn, Brian Adam. "Scatterometer Image Reconstruction Tuning and Aperture Function Estimation for Advanced Microwave Scanning Radiometer on the Earth Observing System." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2165.

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AMSR-E is a space-borne radiometer which measures Earth microwave emissions or brightness temperatures (Tb) over a wide swath. AMSR-E data and images are useful in mapping valuable Earth-surface and atmospheric phenomena. A modified version of the Scatterometer Image Reconstruction (SIR) algorithm creates Tb images from the collected data. SIR is an iterative algorithm with tuning parameters to optimize the reconstruction for the instrument and channel. It requires an approximate aperture function for each channel to be effective. This thesis presents a simulator-based optimization of SIR iter
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Book chapters on the topic "Advanced Microwave Scanning Radiometer-2 (AMSR2)"

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Njoku, E. G., and S. Chan. "Soil Moisture From the Advanced Microwave Scanning Radiometer (AMSR) Instruments." In Comprehensive Remote Sensing. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-12-409548-9.10356-2.

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Ozsoy-Cicek Burcu, Ackley Steve, Xie Hongjie, and Wagner Penelope. "Analysis of Antarctic Sea Ice Extent based on NIC charts and AMSR-E data." In Remote Sensing for a Changing Europe. IOS Press, 2009. https://doi.org/10.3233/978-1-58603-986-8-441.

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The extent of the Antarctica sea ice is not accurately defined only using low resolution passive microwave data, such as The Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E). Due to the varied ice types at the ice edge, it is necessary to use additional resources that will have better results. Therefore sea ice edge data provided by National Ice Center (NIC) were used for better understanding. Sea ice extent for summer time period between January 1stand March 1st, and winter time period between August 1stand December 31stwere calculated from both AMSR-E and NIC products.
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Conference papers on the topic "Advanced Microwave Scanning Radiometer-2 (AMSR2)"

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Okuyama, Arata, and Keiji Imaoka. "Intercalibration of the Advanced Microwave Scanning Radiometer-2 (AMSR2) level-1B dataset." In 2014 Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad). IEEE, 2014. http://dx.doi.org/10.1109/microrad.2014.6878940.

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Ishikawa, Takaaki, Shinichi Yokobori, Takeshi Ito, Tatsuhiro Noguchi, Norimasa Ito, and Marehito Kasahara. "Development of High Temperature Noise Source (HTS) for Advanced Microwave Scanning Radiometer 2 (AMSR2)." In IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6050071.

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Ishikawa, Takaaki, Tatsuhiro Noguchi, Shinichi Yokobori, et al. "On-orbit performance of High Temperature Noise Source (HTS) for advanced microwave scanning radiometer 2 (AMSR2) onboard the GCOM-W satellite." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127006.

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Tsutsui, Hiroyuki, Keiji Imaoka, Misako Kachi, et al. "Present status of the global change observation mission 1st - water 'SHIZUKU' (GCOM-W1) and the advanced microwave scanning radiometer 2 (AMSR2)." In SPIE Asia Pacific Remote Sensing, edited by Xiaoxiong Xiong and Haruhisa Shimoda. SPIE, 2014. http://dx.doi.org/10.1117/12.2068277.

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Maeda, Takashi, Misako Kachi, and Marehito Kasahara. "Current status of the global change observation mission - water SHIZUKU (GCOM-W) and the advanced microwave scanning radiometer 2 (AMSR2) (Conference Presentation)." In Sensors, Systems, and Next-Generation Satellites, edited by Roland Meynart, Steven P. Neeck, Haruhisa Shimoda, and Toshiyoshi Kimura. SPIE, 2016. http://dx.doi.org/10.1117/12.2241980.

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Lobl, Elena S., Roy W. Spencer, Akira Shibata, Keiji Imaoka, Masayuki Sasaki, and Misako Kachi. "Global climate monitoring with the advanced microwave scanning radiometer (AMSR and AMSR-E)." In Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, edited by Christian D. Kummerow, JingShang Jiang, and Seiho Uratuka. SPIE, 2003. http://dx.doi.org/10.1117/12.466518.

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Lobl, Elena, and Roy Spencer. "Several advanced microwave scanning radiometer for EOS (AMSR-E) environmental results." In Asia-Pacific Remote Sensing Symposium, edited by Azita Valinia, Seiho Uratsuka, and Tapan Misra. SPIE, 2006. http://dx.doi.org/10.1117/12.692902.

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Marquis, Melinda C., Richard L. Armstrong, Peter Ashcroft, et al. "Research applications and opportunities using advanced microwave scanning radiometer-Earth observing system (AMSR-E) data." In Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, edited by Christian D. Kummerow, JingShang Jiang, and Seiho Uratuka. SPIE, 2003. http://dx.doi.org/10.1117/12.467748.

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Kachi, Misako, Rigen Shimada, Keiichi Ohara, et al. "The Advanced Microwave Scanning Radiometer 3 (AMSR3) Onboard the Global Observing Satellite for Greenhouse Gases and Water Cycle (GOSAT-GW) Toward Long-Term Water Cycle Monitoring." In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. http://dx.doi.org/10.1109/igarss52108.2023.10282052.

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