The Soil Moisture Active Passive (SMAP) Mission
Dara Entekhabi,Eni G. Njoku,Peggy O'Neill,Kent Kellogg,Wade T. Crow,W. Edelstein,Jared Entin,Shawn D Goodman,Thomas J. Jackson,Joel T. Johnson,John S. Kimball,Jeffrey R. Piepmeier,Randal D. Koster,Neil R.W. Martin,Kyle C. McDonald,Mahta Moghaddam,Susan Moran,Rolf H. Reichle,Jiancheng Shi,Michael W. Spencer,Samuel W Thurman,Leung Tsang,Jakob van Zyl +22 more
- Vol. 98, Iss: 5, pp 704-716
Reads0
Chats0
TLDR
The Soil Moisture Active Passive mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey to make global measurements of the soil moisture present at the Earth's land surface.Abstract:
The Soil Moisture Active Passive (SMAP) mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey SMAP will make global measurements of the soil moisture present at the Earth's land surface and will distinguish frozen from thawed land surfaces Direct observations of soil moisture and freeze/thaw state from space will allow significantly improved estimates of water, energy, and carbon transfers between the land and the atmosphere The accuracy of numerical models of the atmosphere used in weather prediction and climate projections are critically dependent on the correct characterization of these transfers Soil moisture measurements are also directly applicable to flood assessment and drought monitoring SMAP observations can help monitor these natural hazards, resulting in potentially great economic and social benefits SMAP observations of soil moisture and freeze/thaw timing will also reduce a major uncertainty in quantifying the global carbon balance by helping to resolve an apparent missing carbon sink on land over the boreal latitudes The SMAP mission concept will utilize L-band radar and radiometer instruments sharing a rotating 6-m mesh reflector antenna to provide high-resolution and high-accuracy global maps of soil moisture and freeze/thaw state every two to three days In addition, the SMAP project will use these observations with advanced modeling and data assimilation to provide deeper root-zone soil moisture and net ecosystem exchange of carbon SMAP is scheduled for launch in the 2014-2015 time frameread more
Citations
More filters
Journal ArticleDOI
Estimating tropical cyclone surface winds: Current status, emerging technologies, historical evolution, and a look to the future
John A. Knaff,Charles R. Sampson,Matthew E. Kucas,Christopher J. Slocum,Michael J. Brennan,Thomas Meissner,Lucrezia Ricciardulli,Alexis Mouche,Nicolas Reul,Mary Morris,Galina Chirokova,Philippe Caroff +11 more
TL;DR: In this paper, a review of tropical cyclone (TC) surface wind estimation from an operational forecasting perspective is provided, which leads to recommendations about required surface coverage, an area covering at least 1100 km from center of TC at a 2-km resolution in the inner core, and at a frequency of at least once every 6h.
Journal ArticleDOI
Reducing multiplicative bias of satellite soil moisture retrievals
TL;DR: In this article, the authors compared satellite soil moisture retrievals to soil moisture observations from the SCAN network for a calibration period of 2010-2011 and validation period of 2012-2013 before and after bias correction.
Proceedings ArticleDOI
MICAP (Microwave imager combined active and passive): A new instrument for Chinese ocean salinity satellite
Hao Liu,Di Zhu,Lijie Niu,Lin Wu,Caiyun Wang,Xue Chen,Xin Zhao,Cheng Zhang,Xiangkun Zhang,Xiaobin Yin,Ji Wu +10 more
TL;DR: The MICAP instrument concept, specification and preliminary system design will be introduced, which will be selected to be a candidate payload for future Chinese ocean salinity mission.
Journal ArticleDOI
The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors
Robin van der Schalie,Richard de Jeu,Nemesio Rodriguez-Fernandez,Amen Al-Yaari,Yann Kerr,Jean-Pierre Wigneron,Robert Parinussa,Matthias Drusch +7 more
TL;DR: Evaluating the quality of three different fusion approaches that combine soil moisture retrieval from multiple satellite sensors confirms that historical soil moisture datasets based on a combination of these sources are a valuable source of information for climate research.
Journal ArticleDOI
On the Potential of Sentinel-1 for High Resolution Monitoring of Water Table Dynamics in Grasslands on Organic Soils
TL;DR: The site-specific general wetness level, described by the mean WTD of each site was shown to be a major factor controlling the strength of the correlation, which might indicate an important limit of the application of Sentinel-1 satellite data monitoring of climate-relevant soils.
References
More filters
Journal ArticleDOI
The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle
Yann Kerr,Philippe Waldteufel,Jean-Pierre Wigneron,Steven Delwart,Francois Cabot,Jacqueline Boutin,Maria-José Escorihuela,Jordi Font,Nicolas Reul,C. Gruhier,S. Juglea,Mark R. Drinkwater,Achim Hahne,Manuel Martin-Neira,Susanne Mecklenburg +14 more
TL;DR: The SMOS satellite was launched successfully on November 2, 2009, and will achieve an unprecedented maximum spatial resolution of 50 km at L-band over land (43 km on average over the field of view), providing multiangular dual polarized (or fully polarized) brightness temperatures over the globe.
Reference EntryDOI
Microwave Remote Sensing
TL;DR: The sections in this article are==================�€�€€ Æ£££€££ ££€ ££ £€ £ £ £€£ £ ££ €££ € £££ $££
Journal ArticleDOI
Measuring soil moisture with imaging radars
P. Dubois,J.J. van Zyl,T. Engman +2 more
TL;DR: An empirical algorithm for the retrieval of soil moisture content and surface root mean square (RMS) height from remotely sensed radar data was developed using scatterometer data and inversion results indicate that significant amounts of vegetation cause the algorithm to underestimate soil moisture and overestimate RMS height.
Book
Radar remote sensing and surface scattering and emission theory
TL;DR: Monumental as discussed by the authors is a compilation of the present engineering state of the art of microwave remote sensing, presented as a survey of the state-of-the-art in the field.
Journal ArticleDOI
Vegetation effects on the microwave emission of soils
TL;DR: In this article, the authors evaluated published data to determine the functional dependence of a vegetation parameter on vegetation characteristics, and they proposed a model that attempted to meet these requirements by estimating the vegetation parameter b that characterizes the canopy.