GLAS/ICESat L1A Global Laser Pointing Data (HDF5), Version 33
Data set id:
GLAH04
DOI: 10.5067/ICESAT/GLAS/DATA104
This is the most recent version of these data.
Version Summary
Version Summary
For information about Version 33, visit the ICESat/GLAS Version History page
Overview
Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.
Parameter(s):
ATTITUDE CHARACTERISTICSVIEWING GEOMETRY
Platform(s):
ICESat
Sensor(s):
ALTIMETERS, CD, GLAS, GPS, GPS Receiver, LA, PC
Data Format(s):
HDF
Temporal Coverage:
20 February 2003 to 11 October 2009
Temporal Resolution:
Not Specified
Spatial Resolution:
- 60 m to 70 m
- 60 m to 70 m
Spatial Reference System(s):
ITRF2008
EPSG:5332
Spatial Coverage:
N:
86
S:
-86
E:
180
W:
-180
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
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Documentation
Product Specification Documents
Help Articles
General Questions & FAQs
This article covers frequently asked questions about the NASA NSIDC DAAC's Earthdata cloud migration project and what it means to data users.
How to Articles
Many NSIDC DAAC data sets can be accessed using the NSIDC DAAC's Data Access Tool. This tool provides the ability to search and filter data with spatial and temporal constraints using a map-based interface.Users have the option to
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This guide will provide an overview of the altimetry measurements and data sets across the missions, as well as a guide for accessing the data through NASA Earthdata Search and programmatically using an Application Programming Interface (API).
The NASA Earthdata Cloud is the NASA cloud-based archive of Earth observations. It is hosted by Amazon Web Services (AWS). Learn how to find and access NSIDC DAAC data directly in the cloud.
All data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) is directly accessible through our HTTPS file system using Wget or curl. This article provides basic command line instructions for accessing data using this method.
HDFView
https://support.hdfgroup.org/products/java/hdfview/
When you first open HDFView, the HDFView window appears with an empty tree and data panel.