The Soil Moisture Active Passive (SMAP) Mission

By Dara Entekhabi, Eni G. Njoku, P. O'Neill, K. Kellogg, Wade T. Crow, W. Edelstein, J. Entin, Shawn D. Goodman, Thomas J. Jackson, Joel T. Johnson and 13 more. Proceedings of the IEEE, 2010

2,090 citations recorded by the source corpus.

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.

Subfields: Aerospace Engineering, Environmental Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/192c533b57ec96b26fd26c12f5a3ec669ca5cdf4

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Citations in the corpus

What Role Does Hydrological Science Play in the Age of Machine Learning? (2020, neutral): “Dooge borrowed the image in Figure 5 from 248 Weinberg (1975) to illustrate this dichotomy - watersheds live in the middle area of or249 ganized complexity, where complexity (heterogeneity) is at a similar scale to random250 ness (lack of information).”
Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals (2017, neutral): “sive (SMAP) mission [3].”
The SMOS Soil Moisture Retrieval Algorithm (2012, positive): “L-Band seemed the best way to go, and as soon as tractable solutions became possible for the antenna, the SMOS [27], [28], Aquarius [29], and SMAP [30], [31] concepts emerged.”
Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales (2019, positive): “Furthermore, there are monthly-averaged satellite-based terrestrial water storage anomalies (TWSA) (Swenson, 2012) or soil moisture observations (snapshots), which are available on a 2-to-3-day revisit schedule (Entekhabi, 2010).”
Effective tree scattering and opacity at L-band (2012, neutral): “m−2 (Entekhabi et al., 2010; Kerr et al., 2010).”
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists (2017, positive): “They trained LSTM to reproduce surface soil moisture product from the Soil Moisture Active Passive (SMAP) mission (Entekhabi, 2010) over the continental United”
Modeling plant–water interactions: an ecohydrological overview from the cell to the global scale (2016, positive): “, Ref 470), and promising results in this direction are expected from campaigns such as Soil Moisture Active Passive (SMAP).(471) Finally, anomalies of atmospheric CO2 concentration are an important source of information to estimate the net carbon uptake or release over very large areas and on the s”
Evaluation of the ESA CCI soil moisture product using ground-based observations (2015, positive): “…dedicated soil moisture mission SMOS (Mecklenburg et al., 2012) while within the next few years the soil moisture data record is expected to be complemented with novel dedicated soil moisture missions like SMAP (Entekhabi et al., 2010) and SAOCOM (http://www.conae.gov.ar/eng/satelites/saocom.html).”
Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products (2010, neutral): “She is a member of the Soil Moisture Active Passive Science Definition Team and the Chair of the Applications Working Group.”
Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities (2012, positive): “New sensors, such as the ESA Sentinel-1 mission and the NASA Soil Moisture Active Passive mission (SMAP, Entekhabi et al., 2010), will be launched in the next couple of years.”
Radar Remote Sensing of Agricultural Canopies: A Review (2017, neutral): “Moisture Active Passive (SMAP) mission [45] planned to combine passive radiometry with SAR measurements, but the radar instrument failed six months after launch in 2015.”