J. Asanuma - Academia.edu (original) (raw)
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Papers by J. Asanuma
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IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
The NASA SMAP (Soil Moisture Active Passive) mission provides a global coverage of soil moisture ... more The NASA SMAP (Soil Moisture Active Passive) mission provides a global coverage of soil moisture measurements based on its L-band microwave radiometer every 2-3 days at about 40 km resolution. The soil moisture retrieval algorithms model the brightness temperature as a function of soil moisture, surface conditions and vegetation. External data sources inform the algorithms about the surface conditions and vegetation, which enable the retrieval of soil moisture. The inversion process contains uncertainties related to radiometer measurements, forward model assumptions and ancillary data sources. This study focuses on the uncertainties that depend on the seasonal evolution of the surface conditions and vegetation. The study compares the SMAP and core validation site (CVS) soil moisture values over a period of four years to extract the evolution of performance metrics over time. The analysis showed that most CVS that include managed agriculture exhibit significant time-dependent seasonal bias. This bias was linked to seasonal temperature cycle, which is a proxy to several features that can cause seasonally dependent errors in the SMAP product.
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2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 1, 2017
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Remote Sensing of Environment
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Journal of the Meteorological Society of Japan. Ser. II
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Remote Sensing of Environment
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Korean Journal of Agricultural and Forest Meteorology, 2009
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Remote Sensing of Environment, 2011
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Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, 2000
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Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, 2000
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Journal of Hydrology, 2007
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Journal of Geophysical Research, 2005
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Hydrological Processes, 2003
This paper outlines specifications and gives preliminary results of aircraft observations made du... more This paper outlines specifications and gives preliminary results of aircraft observations made during the Intensive Observation Period in 2000 (IOP2000) over the Yakutsk area of eastern Siberia. The observations were part of the GAME-Siberia project. Spatial and seasonal variation in the fluxes of sensible heat, latent heat, and carbon dioxide were determined using a Russian aircraft equipped with turbulence sensors.
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Global and Planetary Change, 1998
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31 Citation: Li, S.-G., W. Eugster, J. Asanuma, A. Kotani, G. Davaa, D. Oyunbaatar, and M. Sugita... more 31 Citation: Li, S.-G., W. Eugster, J. Asanuma, A. Kotani, G. Davaa, D. Oyunbaatar, and M. Sugita (2008), Response of gross 32 ecosystem productivity, light use efficiency, and water use efficiency of Mongolian steppe to seasonal variations in soil moisture, 33 J. Geophys. ...
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… in Mongolia. Tokyo …, 2006
The Mongolian Plateau lies in a prominent transition belt (between latitudes 41.652. 2 oN and lo... more The Mongolian Plateau lies in a prominent transition belt (between latitudes 41.652. 2 oN and longitudes 87.6119.9 oE) that borders the Gobi Desert of central Asia in the south and west, and the Siberian taiga forest in the north. Most of Mongolian territory experiences ...
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Boundary-Layer Meteorology, 2007
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IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
The NASA SMAP (Soil Moisture Active Passive) mission provides a global coverage of soil moisture ... more The NASA SMAP (Soil Moisture Active Passive) mission provides a global coverage of soil moisture measurements based on its L-band microwave radiometer every 2-3 days at about 40 km resolution. The soil moisture retrieval algorithms model the brightness temperature as a function of soil moisture, surface conditions and vegetation. External data sources inform the algorithms about the surface conditions and vegetation, which enable the retrieval of soil moisture. The inversion process contains uncertainties related to radiometer measurements, forward model assumptions and ancillary data sources. This study focuses on the uncertainties that depend on the seasonal evolution of the surface conditions and vegetation. The study compares the SMAP and core validation site (CVS) soil moisture values over a period of four years to extract the evolution of performance metrics over time. The analysis showed that most CVS that include managed agriculture exhibit significant time-dependent seasonal bias. This bias was linked to seasonal temperature cycle, which is a proxy to several features that can cause seasonally dependent errors in the SMAP product.
Bookmarks Related papers MentionsView impact
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Bookmarks Related papers MentionsView impact
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 1, 2017
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Remote Sensing of Environment
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Journal of the Meteorological Society of Japan. Ser. II
Bookmarks Related papers MentionsView impact
Remote Sensing of Environment
Bookmarks Related papers MentionsView impact
Korean Journal of Agricultural and Forest Meteorology, 2009
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Remote Sensing of Environment, 2011
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Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, 2000
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Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, 2000
Bookmarks Related papers MentionsView impact
Journal of Hydrology, 2007
Bookmarks Related papers MentionsView impact
Journal of Geophysical Research, 2005
Bookmarks Related papers MentionsView impact
Hydrological Processes, 2003
This paper outlines specifications and gives preliminary results of aircraft observations made du... more This paper outlines specifications and gives preliminary results of aircraft observations made during the Intensive Observation Period in 2000 (IOP2000) over the Yakutsk area of eastern Siberia. The observations were part of the GAME-Siberia project. Spatial and seasonal variation in the fluxes of sensible heat, latent heat, and carbon dioxide were determined using a Russian aircraft equipped with turbulence sensors.
Bookmarks Related papers MentionsView impact
Global and Planetary Change, 1998
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31 Citation: Li, S.-G., W. Eugster, J. Asanuma, A. Kotani, G. Davaa, D. Oyunbaatar, and M. Sugita... more 31 Citation: Li, S.-G., W. Eugster, J. Asanuma, A. Kotani, G. Davaa, D. Oyunbaatar, and M. Sugita (2008), Response of gross 32 ecosystem productivity, light use efficiency, and water use efficiency of Mongolian steppe to seasonal variations in soil moisture, 33 J. Geophys. ...
Bookmarks Related papers MentionsView impact
… in Mongolia. Tokyo …, 2006
The Mongolian Plateau lies in a prominent transition belt (between latitudes 41.652. 2 oN and lo... more The Mongolian Plateau lies in a prominent transition belt (between latitudes 41.652. 2 oN and longitudes 87.6119.9 oE) that borders the Gobi Desert of central Asia in the south and west, and the Siberian taiga forest in the north. Most of Mongolian territory experiences ...
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Boundary-Layer Meteorology, 2007
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