Results 171 to 180 of about 1,271 (194)

Development and validation of the GCOM-W AMSR2 soil moisture product

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
GCOM-W AMSR2 provides continuity following AMSR-E and the opportunity to generate a global long-term satellite soil moisture data record from the same instrument type. Various soil moisture products are being developed using AMSR observations. The JAXA soil moisture along with the Single Channel Algorithm (SCA) product were evaluated using in situ ...
Rajat Bindlish, Thomas J. Jackson, Michael H. Cosh, Sushil Milak, Eni G. Njoku, Steven Tsz K. Chan, Mariko Burgin, Todd Caldwell, Aaron A. Berg, Heather McNairn, Jeffrey P. Walker, Yijian Zeng, Zhongbo Su, Marc Thibeault, Justino Martínez   +14 more
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Global Scale IB AMSR2 Vegetation Optical Depth at X-Band

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Vegetation Optical Depth (VOD) plays an increasingly important role in studying global carbon, water and energy transformation [1], [2]. This study explores the performance of the X-MEB (X-band microwave emission of the biosphere) model at global scale.
Mengjia Wang, Jean-Pierre Wigneron, Philippe Ciais, Rui Sun 0003, Frédéric Frappart, Lei Fan 0001, Xiaojun Li 0003, Xiangzhuo Liu, Amen Al-Yaari, Roberto Fernandez-Moran, Hongliang Ma, Zanpin Xing, Christophe Moisy   +12 more
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Soil moisture and rainfall retrieval from AMSR2 data in Italy

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
In this paper, the soil moisture content (SMC) estimated from Advanced Microwave Scanning Radiometer 2 (AMSR2) through the ANN-based "HydroAlgo" algorithm is firstly compared with the outputs of the Soil Water Balance hydrological model (SWBM). The comparison is performed over Italy, by considering all the available overpasses of AMSR2, since July 2012.
Santi E, Paloscia S, Pettinato S, Brocca L, Ciabatta L, Massari C   +5 more
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Evaluation of wind speed globally observed by AMSR2 on GCOM-W1

2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Wind speed globally observed by the Advanced Microwave Scanning Radiometer-2 (AMSR2) on the Global Change Observation Mission-W1 (GCOM-W1) satellite was evaluated by comparisons with offshore buoy measurements and outputs from the European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Reanalysis (ERA-Interim).
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Intercalibration of FY-3D MWRI against AMSR2

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022
Tiantian Wang, Jiangyuan Zeng, Kun-Shan Chen, Hongliang Ma, Haiyun Bi, Lu Yi, Pengfei Shi, Jingming Chang   +7 more
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Status of GCOM-W1/AMSR2 development and science activities

SPIE Proceedings, 2008
Japan Aerospace Exploration Agency (JAXA) is developing the Advanced Microwave Scanning Radiometer-2 (AMSR2). AMSR2 will be onboard the GCOM-W1 satellite, which is the first satellite of the Japan's Global Change Observation Mission (GCOM). The second satellite of GCOM will be GCOM-C1, which will carry the Secondgeneration Global Imager (SGLI ...
Misako Kachi, Keiji Imaoka, Hideyuki Fujii, Akira Shibata, Marehito Kasahara, Yukiei Iida, Norimasa Ito, Keizo Nakagawa, Haruhisa Shimoda   +8 more
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Validation and Analysis of the Smap and Amsr2 Freeze/Thaw Dataset Over China

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Land surface freeze/thaw (FT) state is important for identifying the variable of carbon-nitrogen, water and energy cycling and soil erosion. The Soil Moisture Active Passive (SMAP) mission produces global and northern hemispheric daily landscape FT dataset [1] at a spatial resolution of 36 km from L-band radiometer.
Jian Wang 0063, Lingmei Jiang, Huizhen Cui, Jianwei Yang, Gongxue Wang, Xiaojing Liu, Xu Su   +6 more
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A novel AMSR2 retrieval algorithm for global C-band vegetation optical depth and soil moisture (AMSR2 IB): Parameters' calibration, evaluation and inter-comparison

Remote Sensing of Environment
Effective monitoring of soil and vegetation properties on a global scale is essential for better understanding climate changes, hydrological dynamics, and ecological processes. Passive microwave remote sensing at C-band radio frequency, with long observation period and relatively high penetration capability, has been widely used to retrieve soil ...
Wang, Mengjia, Ciais, Philippe, Frappart, Frédéric, Tao, Shengli, Fan, Lei, Sun, Rui, Li, Xiaojun, Liu, Xiangzhuo, Wang, Huan, J.-P., Wigneron   +9 more
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AMSR2 Thin Ice Detection Algorithm for the Arctic Winter Conditions

IEEE Transactions on Geoscience and Remote Sensing, 2022
Marko Mäkynen, Markku Similä
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Land Water Vapor Retrieval for AMSR2 Using a Deep Learning Method

IEEE Transactions on Geoscience and Remote Sensing, 2022
Nan Jiang 0015, Yan Xu, Tianhe Xu, Song Li, Zhaorui Gao   +4 more
openaire   +1 more source