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snippet: SMAP-based root zone soil moisture over Eastern Africa for Cyclone Idai in March 2019
summary: SMAP-based root zone soil moisture over Eastern Africa for Cyclone Idai in March 2019
accessInformation: 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.
thumbnail: thumbnail/thumbnail.png
typeKeywords: ["Data","Service","Image Service","ArcGIS Server"]
description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Date of Image:</SPAN></P><P><SPAN>3/2/2019; 3/5/2019; 3/8/2019; 3/11/2019; 3/14/2019; 3/17/2019; 3/20/2019; 3/23/2019</SPAN></P><P><SPAN STYLE="font-weight:bold;">Date of Next Image:</SPAN></P><P><SPAN>Unknown</SPAN></P><P><SPAN STYLE="font-weight:bold;">Purpose/Summary:</SPAN></P><P><SPAN>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.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Suggested Use:</SPAN></P><P><SPAN>High values in blue and green show more saturated (wetter) soil.</SPAN></P><P><SPAN>Low values in orange and brown show drier soil.</SPAN></P><P><SPAN>Areas with increased soil moisture may have been flooded during the event, and are generally more prone to flooding if more rain occurs.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Satellite/Sensor:</SPAN></P><P><SPAN>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.</SPAN></P><P><SPAN>SMAP L-Band Radiometer; 0.25x0.25 degree resolution</SPAN></P><P><SPAN STYLE="font-weight:bold;">Credits:</SPAN></P><P><SPAN>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.</SPAN></P></DIV></DIV></DIV>
licenseInfo: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>NASA data and products are freely available to federal, state, public, non-profit and commercial users. This information can be experimental- or research-grade data products and may not be appropriate for operational use. These NASA data products, services, and the Disasters Mapping Portal are intended to aid decision makers and enhance situational awareness, but these data are not guaranteed to be consistently available or routinely updated. Please cite the information according to the direction provided in the metadata.</SPAN></P></DIV></DIV></DIV>
catalogPath:
title: smap_sm_profile
type: Image Service
url: https://maps.disasters.nasa.gov/ags03/admin/cyclone_idai_2019/smap_sm_profile/ImageServer
tags: ["NASA Disasters Program","SMAP","SMOS","Soil Moisture","Soil Moisture Profile","Mozambique","Idai","Tropical Cyclone"]
culture: en-US
name: smap_sm_profile
guid:
spatialReference: WGS_1984_Web_Mercator_Auxiliary_Sphere