Data Citation and Acknowledgment
As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility.
10.5067/BA180DOW1E1Q
Blair, J. B. & Hofton, M. (2011). Pre-IceBridge LVIS L2 Geolocated Ground Elevation and Return Energy Quartiles. (BLVIS2, Version 1). [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/BA180DOW1E1Q. [describe subset used if applicable]. Date Accessed 11-21-2024.
Copied
To promote open science principles and reproducibility, we encourage you to make your data citation specific to the subset used in your research. Common examples of information include spatial and temporal range and file types if relevant.
For more general information, see our Citation Policies.
Subscribe here to receive email updates of the data set BLVIS2
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
In this section
- Rendering Links ...
- Rendering Links ...
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
Data Access & Tools
A free NASA Earthdata Login account is required to access these data. Learn More
Quickly download a few files using a web browser, or access data through a command-line utility such as WGET.
Filter files before downloading based on date, spatial area, or file name. Choose from various download options, such as Python script. Export bounding boxes as a GeoJSON.
Search, visualize, and download data from NSIDC's long-term IceBridge archive. The portal provides flight lines, map-based granule extents, browse images (where available), Northern and Southern Hemisphere polar views, spatial and temporal filters, and keyword search options.
Search and order data from all NASA DAACs using spatial and temporal filters in a map interface. Reformatting, reprojecting, and subsetting options are available for some data sets.
Type: Web Application
earthaccess is a python library to search and access NASA Earth science data with just a few lines of code.
Supported software languages:
Python
Programmatically request selected data products through NSIDC's API. Bulk download using spatial and temporal filters, or incorporate data access commands into code/scripts as needed.
Help Articles
How to Articles
Harmony API Quickstart Guide: Customizing NASA NSIDC DAAC data in Earthdata Cloud