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Data Set ID: 

SMAPVEX16 Manitoba Radiometer Brightness Temperature Data, Version 1

This data set contains brightness temperatures obtained by in situ L-band radiometers. The data were collected for the Soil Moisture Active Passive Validation Experiment 2016 Manitoba (SMAPVEX16 Manitoba) campaign.

This is the most recent version of these data.

Version Summary: 

First public data release

STANDARD Level of Service

Data: Data integrity and usability verified

Documentation: Key metadata and user guide available

User Support: Assistance with data access and usage; guidance on use of data in tools

See All Level of Service Details

Data Format(s):
  • CSV
  • KML
Spatial Coverage:
N: 49.648801, 
S: 49.38533, 
E: -97.888567, 
W: -97.896709
Spatial Resolution:
  • Varies
Temporal Coverage:
  • 6 June 2016 to 21 July 2016
Temporal ResolutionVariesMetadata XML:View Metadata Record
Data Contributor(s):McNairn, H., K. Gottfried, and J. Powers.

Geographic Coverage

Other Access Options

Other Access Options


As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.

McNairn, H., K. Gottfried, and J. Powers. 2018. SMAPVEX16 Manitoba Radiometer Brightness Temperature Data, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: [Date Accessed].

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How To

Programmatic Data Access Guide
Data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) can be accessed directly from our HTTPS file system or through our Application Programming Interface (API). Our API offers you the ability to order data using specific temporal and spatial filters... read more
Filter and order from a data set web page
Many NSIDC data set web pages provide the ability to search and filter data with spatial and temporal contstraints using a map-based interface. This article outlines how to order NSIDC DAAC data using advanced searching and filtering.  Step 1: Go to a data set web page This article will use the... read more