Data Set ID: 
SNEX17_GPR_Raw

SnowEx17 Ground Penetrating Radar Raw, Version 1

This data set contains the RAW and UNPROCESSED results of a ground penetrating radar survey conducted as part of the 2017 SnowEx campaign. The processed data can be found here: https://dx.doi.org/10.5067/NPZYNEEUGQUO

Data were collected between 08 February 2017 and 25 February 2017 at Grand Mesa, Colorado. Grand Mesa is a snow-covered, forested study site about 40 miles east of Grand Junction, Colorado.

This is the most recent version of these data.

Version Summary: 

new data set

BASIC Level of Service

Data: Data integrity verified

Documentation: Key metadata and links to supporting documentation available

User Support: Assistance with data access and basic data usage

See All Level of Service Details

Parameter(s):
  • RADAR > RADAR REFLECTIVITY
Data Format(s):
  • Binary
Spatial Coverage:
N: 41, 
S: 37, 
E: -102.05, 
W: -109.05
Platform(s):GROUND-BASED OBSERVATIONS
Spatial Resolution:Not applicableSensor(s):GPR
Temporal Coverage:
  • 8 February 2017 to 25 February 2017
Version(s):V1
Temporal ResolutionNot applicableMetadata XML:View Metadata Record
Data Contributor(s):Webb, R., D. McGrath, K. Hale, and N. P. Molotch.

Geographic Coverage

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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.

Webb, R., D. McGrath, K. Hale, and N. P. Molotch. 2018. SnowEx17 Ground Penetrating Radar Raw, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/6JS9BKPIGMLJ. [Date Accessed].
A user guide is not available for this data set.

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