SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans Raw, Version 1
Data set id:
SNEX23_BCEF_TLS_Raw
DOI: 10.5067/OIBBFR49P0Q6
This is the most recent version of these data.
Version Summary
Version Summary
Initial release
Overview
This data set contains unprocessed point cloud data created from terrestrial lidar scans (TLS) collected during the SnowEx 2023 campaign from the Bonanza Creek Experimental Forest near Fairbanks, Alaska. Data were collected in October 2022 (snow-off) and March 2023 (snow-on). Digital terrain models (DTMs) derived from the raw point cloud data are available as the SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans, Version 1 (SNEX23_BCEF_TLS) data set
Parameter(s):
LIDAR
Platform(s):
GROUND-BASED OBSERVATIONS
Sensor(s):
GPS RECEIVERS, LIDAR
Data Format(s):
LAZ
Temporal Coverage:
22 October 2022 to 27 October 2022
8 March 2023 to 26 March 2023
8 March 2023 to 26 March 2023
Temporal Resolution:
Not Specified
Spatial Resolution:
- 2 cm
- 2 cm
Spatial Reference System(s):
WGS 84
EPSG:4326
Spatial Coverage:
N:
64.714
S:
64.697
E:
-148.278
W:
-148.325
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
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Documentation
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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
Harmony API Quickstart Guide: Customizing NASA NSIDC DAAC data in Earthdata 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.