NASA-USDA-FAS Soil Moisture / IMERG
- Visualizations by:
- Trent L. Schindler
- Scientific consulting by:
- John D. Bolten
- Produced by:
- Matthew Radcliff
- View full credits
This visualization shows the correlation and lag time of surface soil moisture following precipitation events over Australia, India, and the United States. It uses the new NASA-USDA-FAS Soil Moisture product, a joint effort of NASA and the USDA Foreign Agricultural Service, and the global Integrated Multi-satellitE Retrievals for GPM (IMERG) precipitation dataset, which provides rainfall rates for the entire world every thirty minutes. This animation shows the 30-minute rainfall product, while the soil moisture data is a three-day moving average. Anomaly data is expressed as a standardized anomaly, e.g. (value-average)/stdev, and as such is unitless.
For more detailed information about the soil moisture product:
http://www.pecad.fas.usda.gov/cropexplorer/description.aspx?legendid=355
Bolten, J. D., W. T. Crow, T. J. Jackson, X. Zhan, and C. A. Reynolds (2010), Evaluating the utility of remotely-sensed soil moisture retrievals for operational agricultural drought monitoring, IEEE J. Sel. Topics Appl. Earth Obs., 3(1), 57–66.
For more detailed information about the soil moisture product:
http://www.pecad.fas.usda.gov/cropexplorer/description.aspx?legendid=355
Bolten, J. D., W. T. Crow, T. J. Jackson, X. Zhan, and C. A. Reynolds (2010), Evaluating the utility of remotely-sensed soil moisture retrievals for operational agricultural drought monitoring, IEEE J. Sel. Topics Appl. Earth Obs., 3(1), 57–66.
Credits
Please give credit for this item to:
NASA's Scientific Visualization Studio
Visualizers
- Trent L. Schindler (USRA) [Lead]
- Horace Mitchell (NASA/GSFC)
Scientists
- John D. Bolten (NASA/GSFC) [Lead]
- Dalia B Kirschbaum (NASA/GSFC)
- Iliana E. Mladenova (University of Maryland)
Producer
- Matthew Radcliff (KBRwyle) [Lead]
Datasets used in this visualization
IMERG
Data Compilation
|
NASA/GSFC
NASA-USDA-FAS Soil Moisture (A.K.A. Surface Soil Moisture corrected with SMOS imagery and assimilated by the Ensemble Kalman Filter)
Data Compilation
|
NASA and USDA
The surface soil moisture product is corrected by integrating satellite-derived Soil Moisture Ocean Salinity (SMOS) mission surface soil moisture retrievals into the modified Palmer two-layer soil moisture model. The SMOS imagery helps to correct the modified Pal
See more visualizations using this data setNote: While we identify the data sets used in these visualizations, we do not store any further details nor the data sets themselves on our site.
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