cyclone_idai_2019/smap_sm_profile (ImageServer)

View In: ArcGIS JavaScript ArcGIS Online Map Viewer ArcGIS Earth ArcMap

View Footprint In: ArcGIS Online Map Viewer

Service Description:

Date of Image:

3/2/2019; 3/5/2019; 3/8/2019; 3/11/2019; 3/14/2019; 3/17/2019; 3/20/2019; 3/23/2019

Date of Next Image:

Unknown

Purpose/Summary:

The NASA-USDA SMAP Global soil moisture data provides soil moisture information across the globe. Monitoring soil mositure can help identify where flooding has occurred due to Cyclone Idai and what areas may be more prone to flooding if future rainfall occurs. This time-enabled dataset shows the evolution of the soil moisture leading up to and after the landfall of the cyclone.

Suggested Use:

High values in blue and green show more saturated (wetter) soil.

Low values in orange and brown show drier soil.

Areas with increased soil moisture may have been flooded during the event, and are generally more prone to flooding if more rain occurs.

Satellite/Sensor:

The data set is generated by integrating satellite-derived Soil Moisture Active Passive (SMAP) Level 3 soil moisture observations into the modified two-layer Palmer model using a 1-D Ensemble Kalman Filter (EnKF) data assimilation approach.

SMAP L-Band Radiometer; 0.25x0.25 degree resolution

Credits:

Reichle, R., G. De Lannoy, R. D. Koster, W. T. Crow, J. S. Kimball, and Q. Liu. 2018. SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update, Version 4. Root Zone Soil Moisture. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/60HB8VIP2T8W. March 28, 2019.

Name: cyclone_idai_2019/smap_sm_profile

Description:

Date of Image:

3/2/2019; 3/5/2019; 3/8/2019; 3/11/2019; 3/14/2019; 3/17/2019; 3/20/2019; 3/23/2019

Date of Next Image:

Unknown

Purpose/Summary:

Suggested Use:

High values in blue and green show more saturated (wetter) soil.

Low values in orange and brown show drier soil.

Areas with increased soil moisture may have been flooded during the event, and are generally more prone to flooding if more rain occurs.

Satellite/Sensor:

SMAP L-Band Radiometer; 0.25x0.25 degree resolution

Credits:

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Time Info:

[2019/03/02 12:00:00 UTC, 2019/03/23 12:00:00 UTC]

Pixel Size X: 27829.872698318388

Pixel Size Y: 27829.872698318395

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "smap_idai", "description": "A raster function template.", "help": "" }, { "name": "None", "description": "A No-Op Function.", "help": "" } ]}

Mensuration Capabilities: Basic

Has Histograms: true

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Rendering Rule:

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Copyright Text: Reichle, R., G. De Lannoy, R. D. Koster, W. T. Crow, J. S. Kimball, and Q. Liu. 2018. SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update, Version 4. Root Zone Soil Moisture. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/60HB8VIP2T8W. March 28, 2019.

Service Data Type: esriImageServiceDataTypeGeneric

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Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

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Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: 1000

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Allow Raster Function: true

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Child Resources: Info Histograms Statistics Key Properties Legend Raster Function Infos

Supported Operations: Export Image Query Identify Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query Boundary Compute Pixel Location Compute Angles Validate Project