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Open AccessJournal ArticleDOI

The Soil Moisture Active Passive (SMAP) Mission

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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 frame

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Citations
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Journal ArticleDOI

Using cosmic-ray neutron probes to monitor landscape scale soil water content in mixed land use agricultural systems

TL;DR: In this article, the use of the newly established Cosmic-Ray Neutron Probe (CRNP) and method to monitor landscape average SWC in a mixed agricultural land use system in northeast Austria was explored.
Journal ArticleDOI

Multi-layer high-resolution soil moisture estimation using machine learning over the United States

TL;DR: In this article, a machine learning algorithm using the concept of learning from patterns to estimate the multi-layer soil moisture (SM) profile (signals) remains a persistent challenge in sustainable agricultural water management and food security, especially during drought conditions.
Journal ArticleDOI

Multisensor Microwave Sensitivity to Freeze/Thaw Dynamics Across a Complex Boreal Landscape

TL;DR: A landscape analysis of multifrequency and multitemporal satellite microwave remote sensing measurements at L-band (JERS-1, C-band, and Ku-band) for characterizing FT dynamics shows that L-, C-, andKu-band backscatter are sensitive to landscape FT state transitions, with higherBackscatter for nonfrozen than frozen conditions at C- and L-bands but the opposite response at Ku-bands.
Journal ArticleDOI

Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning

TL;DR: In this paper, an approach for root zone soil moisture (RZSM) estimation based on the fusion of high spatial resolution optical reflectance UAS observations with physical and hydraulic soil information integrated into Automated Machine Learning (AutoML) is presented.
Journal ArticleDOI

The sensitivity of US wildfire occurrence to pre-season soil moisture conditions across ecosystems.

TL;DR: The fundamental strength of the relationship between soil moisture and fire activity at long lead-times is demonstrated and is indicative of that relationship's utility for the future development of national-scale predictive capability.
References
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Journal ArticleDOI

The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle

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

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Journal ArticleDOI

Measuring soil moisture with imaging radars

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.
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