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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

The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements

TL;DR: The International Soil Moisture Network (ISMN) as discussed by the authors is a centralized data hosting facility where globally available in situ soil moisture measurements from operational networks and validation campaigns are collected, harmonized, and made available to users.
Journal ArticleDOI

The SMOS Soil Moisture Retrieval Algorithm

TL;DR: A retrieval algorithm to deliver global soil moisture (SM) maps with a desired accuracy of 0.04 m3/m3 is given, discusses the caveats, and provides a glimpse of the Cal Val exercises.
Journal ArticleDOI

Trend-preserving blending of passive and active microwave soil moisture retrievals

TL;DR: In this article, the authors presented an approach for combining four passive microwave products from the VU University Amsterdam/National Aeronautics and Space Administration and two active microwave items from the Vienna University of Technology.
References
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Journal ArticleDOI

Inversion of surface parameters from passive microwave measurements over a soybean field

TL;DR: In this paper, a method of inversion of remotely sensed data using a random continuous model was developed to assess how passive microwave measurements could be used to estimate land surface parameters, where both soil moisture and biomass, parameterized by the vegetation volume fraction, appear to have very significant effect on the evolution of the microwave signal.
Journal ArticleDOI

Soil moisture and rainfall estimation over a semiarid environment with the ESTAR microwave radiometer

TL;DR: The application of an airborne electronically steered thinned array L-band radiometer (ESTAR) for soil moisture mapping was investigated over the semi-arid rangeland Walnut Gulch Watershed in southeastern Arizona.
Journal ArticleDOI

Combined Passive and Active Microwave Observations of Soil Moisture During CLASIC

TL;DR: The passive/active L-band sensor was flown over two watersheds as part of the cloud and land surface interaction campaign (CLASIC) conducted in Oklahoma in 2007 and indicated the potential for estimating soil moisture for low-vegetation water content domains from radar observations using a simple vegetation model.
Journal ArticleDOI

Characterizing subpixel variability of low resolution radiometer derived soil moisture using high resolution radar data

TL;DR: In this article, low-resolution soil moisture estimates from passive remote sensing are fused with high-resolution radar backscatter data to produce soil moisture change estimates at the spatial resolution of radar.
Proceedings ArticleDOI

Interference mitigation in passive microwave radiometry

TL;DR: Several means of detecting and correcting for anthropogenic interference in passive microwave imagery are considered, including spectral subbanding, polarization detection, polarimetric detection, and azimuthal detection.
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