Results 81 to 90 of about 1,271 (194)

Improvement of AMSR2 Soil Moisture Products Over South Korea

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017
Soil moisture (SM) is a critical parameter for interpreting the status of land surfaces and vegetation because it has an important role in the exchange of water and heat energy between the land surface and atmosphere. SM can be retrieved with satellite microwave sensors, which offer several advantages in that they are cost-effective, give rapid results,
Chang-Suk Lee, Jun-Dong Park, Jinho Shin, Jae-Dong Jang   +3 more
openaire   +2 more sources

Satellite Microwave Retrieval of Total Precipitable Water Vapor and Surface Air Temperature Over Land From AMSR2

, 2015
An approach for deriving atmosphere total precipitable water vapor (PWV) and surface air temperature over land using satellite passive microwave radiometry from the Advanced Microwave Scanning Radiometer 2 (AMSR2) was developed in this study.
Du, Jinyang, Jinyang Du, John S. Kimball, Lucas A. Jones, Kimball, John S, Jones, Lucas A.   +5 more
core   +1 more source

Cross-calibration between MWRI and AMSR2 to improve consistency of snow depth products

Research in Cold and Arid Regions
The Microwave Radiation Imager (MWRI), boarded on the FY-3 series satellites: FY-3B, FY-3C, and FY-3D, is the first satellite-based microwave radiometer in China, commencing passive microwave brightness temperature data acquisition since 2010.
SiYu Wei, LiYun Dai, LiJuan Ma, Tao Che
doaj   +1 more source

Effects of Wintertime Snow Depth Assimilation on Summertime Sea Ice Prediction Experiments Utilizing a Fully Coupled Regional Arctic Model With Perfect Boundary Conditions

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 7, July 2026.
Abstract During the past decades, the rapid decline of sea ice in the Arctic Ocean has substantially favored commercial navigation activities in the summertime. Numerical sea ice prediction on a seasonal scale plays a crucial role in guiding the programme of such activities, yet the role of snow depth data assimilation in numerical sea ice prediction ...
Xi Liang, Chengyan Liu, Xichen Li, Zhongxiang Tian, Zhuoming Ding, Fu Zhao, Ming Li, Na Liu, Jiaying Huang   +8 more
wiley   +1 more source

GCOM-W AMSR2 Soil Moisture Product Validation Using Core Validation Sites [PDF]

, 2017
The Advanced Microwave Scanning Radiometer 2 (AMSR2) is part of the Global Change Observation Mission-Water (GCOM-W). AMSR2 has filled the gap in passive microwave observations left by the loss of the Advanced Microwave Scanning RadiometerEarth Observing
Asanuma, J., Caldwell, T., McNairn, H., Bindlish, R., Starks, P., Prueger, J., Bosch, D. D., Fujii, H., Rowlandson, T., Thibeault, M., Martínez-Fernández, J., Walker, J. P., Berg, A., Chan, Steven Tsz K., Jackson, T. J., Koike, T., Cosh, M. H., Collins, C. Holifield, Seyfried, M., Coopersmith, E., Van Der Velde, R.   +20 more
core  

Intercalibration of AMSR2 NASA Team 2 Algorithm Sea Ice Concentrations with AMSR-E Slow Rotation Data

, 2017
Sea ice estimates from AMSR2 are intercalibrated with AMSR-E fields through a two-step process. First, slow rotation 2 r/min AMSR-E data is used to derive regression equations from colocated pairs of AMSR2 and AMSR-E brightness temperatures (Tb s).
Meier, Walter N., Ivanoff, Alvaro
core  

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

, 2017
Spaceborne microwave remote sensing is widely used to monitor global environmental changes for understanding hydrological, ecological, and climate processes.
Jinyang Du, Glassy, Joseph M., J. Du, Watts, Jennifer D., L. A. Jones, Jennifer D. Watts, J. D. Watts, John S. Kimball, Du, Jinyang, Y. Kim, J. S. Kimball, J. Glassy, Lucas A. Jones, Youngwook Kim, Jones, Lucas Alan, Joseph Glassy, Kimball, John S, Kim, Youngwook   +17 more
core   +2 more sources

Daily High-Resolution Land Surface Freeze/Thaw Detection Using Sentinel-1 and AMSR2 Data

, 2022
High-resolution surface freeze/thaw (F/T) information is valuable for hydrological, frost creep and gelifluction/solifluction, and climate prediction studies.
Heng Li, Kimmo Rautiainen, Cheng Zhang, Jian Wang, Huizhen Cui, Zhiqiang Xiao, Lingmei Jiang, Jianwei Yang   +7 more
core   +1 more source

Assimilation of ACSPO VIIRS and REMSS AMSR2 into OSTIA

, 2016
Presentation given at the 17th GHRSST science meeting (XVII), Washington DC, USA, June 6 - 10, 2016.
openaire   +2 more sources

Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Reliable estimation and initialization of Arctic sea-ice thickness (SIT) through data assimilation (DA) during the summer melt season were previously hampered by the lack of available observations owing to limitations in satellite retrieval algorithms ...
Jeong-Gil Lee, Daehyun Kang, Joo-Hong Kim, Jong-Min Kim, Sang-Moo Lee, Yoo-Geun Ham   +5 more
doaj   +1 more source