Results 181 to 190 of about 6,832 (217)

Surface Emissivity of the Arctic Sea Ice at AMSR-E Frequencies

IEEE Transactions on Geoscience and Remote Sensing, 2009
Surface emissivity is an essential quantity to retrieve surface and atmospheric parameters from satellite measurements. The surface emissivity of the Arctic sea ice is calculated using Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) radiance.
Nizy Mathew, Georg C. Heygster, Christian Melsheimer   +2 more
openaire   +1 more source

Comparison of SSMIS, AMSR-E and MWRI brightness temperature data

2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Passive microwave remote sensing observations have been widely used for long-term global monitoring of the Earth. Passive microwave data can be utilized to obtain important parameters (e.g. precipitation, snow cover, sea ice and soil moisture) of the Earth system with relatively high temporal resolution and regardless of lighting and cloud conditions ...
Juntao Yang, Kari Luojus, Juha Lemmetyinen, Lingmei Jiang, Jouni Pulliainen   +4 more
openaire   +1 more source

Evaluating roughness effects on C-band AMSR-E observations

2014 IEEE Geoscience and Remote Sensing Symposium, 2014
The usefulness of microwave remote sensing to retrieve near-surface soil moisture has already been demonstrated in many studies. However, obtaining high quality estimates of soil moisture is influenced by many effects from soil, vegetation and atmosphere; one of the key parameters is surface roughness.
Shu Wang, Jean-Pierre Wigneron, Marie Parrens, Amen Al-Yaari, Roberto Fernandez-Moran, Lingmei Jiang, Jiang-yuan Zeng, Yann Kerr   +7 more
openaire   +2 more sources

Evaluate subsurface effects on AMSR-E's snow depth retrieval

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Remote sensing of snow depth is of primary importance for accurate prediction of snowmelt runoff. In this study, we carried out the numerical simulations to evaluate the subsurface effects, including surface roughness and dielectric properties, on the brightness temperature differences of snow covered terrain at AMSR-E frequencies.
Lingmei Jiang, Jiancheng Shi 0001, Kaiguang Zhao, Lixin Zhang 0001   +3 more
openaire   +1 more source

A long-term investigation of AMSR-E Radio Frequency Interference

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
The Advanced Microwave Scanning Radiometer (AMSR-E) on Earth Observing System (EOS) Aqua was able to acquire global data for about nine years, from June 2002 to October 2011. During its operating phase, the main problem concerning AMSR-E data was the Radio Frequency Interference (RFI) which contaminated data acquired at C- and, with less relevance, X ...
Lacava T, Coviello I, Faruolo M, Mazzeo G, Pergola N, Tramutoli V   +5 more
openaire   +2 more sources

Validation studies of AMSR-E ice concentrations in the sea of Okhotsk

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004
The data from aircraft and ship campaigns in February 2003 in conjunction with high resolution satellite images aid in validating sea ice concentrations derived from AMSR-E brightness temperatures. Patrol Vessel SOYA conducted time series observations of geophysical parameters such as ice type, floe size, snow cover vertical profiles of snow and ice ...
Masashige Nakayama, Fumihiko Nishio, Josefino C. Comiso, Albin J. Gasiewski   +3 more
openaire   +1 more source

Assimilation of the aqua/AMSR-E data to numerical weather predictions

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004
An application of satellite information to numerical weather predictions (NWPs) is one of the most expected achievements in satellite remote sensing. In some meteorological agencies, the data of the space-borne microwave radiometers (MWRs) have been used in their operational weather forecasts.
Toshiharu Tauchi, Yoshiaki Takeuchi, Yoshiaki Sato   +2 more
openaire   +1 more source

The drought monitoring in China by using AMSR-E data

2010 Second IITA International Conference on Geoscience and Remote Sensing, 2010
The five provinces (Yunan, Guizhou, Guangxi, Sichuan, Chongqing) in the Southwest of China experience a long drought, which has no effective precipitation in most parts of Yunnan from September 2009 to April 2010. The drought is the largest in the Yunnan province in the passed one hundred years.
K. B. Mao, C. Y. Gao, L. J. Han, W. Zhang, H. J. Tang   +4 more
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AMSR-E Accomplishments and Ongoing Activities

2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006
Elena S. Lobl, Roy W. Spencer
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Calibration of AMSR-E SST toward a monitoring of global warming

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
Three years data of sea surface temperature (SST) from the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) aboard the NASA/AQUA are available since July 2002. SST measurement by passive microwave radiometers has advantages of observation capability through clouds, and of easy handling due to small data volume.
openaire   +1 more source