SnowEx23 Airborne Lidar-Derived 0.5M Snow Depth and Canopy Height, Version 1
Data set id:
SNEX23_Lidar
DOI: 10.5067/BV4D8RRU1H7U
This is the most recent version of these data.
Version Summary
Version Summary
Initial release
Overview
This data set provides digital terrain models, snow depth, and canopy height, acquired by a scanning lidar system and derived from Point Cloud Digital Terrain Models (PCDTMs) from two regions of Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer’s Loop/Creamer’s Field) and a coastal tundra environment in the North Slope region of the northern Alaska coastal plain (Arctic coastal plain and Upper Kuparuk Toolik). The raw data from which these data are derived are available as SnowEx23 Airborne Lidar Scans Raw, Version 1.
Parameter(s):
DIGITAL ELEVATION/TERRAIN MODEL (DEM)SNOW DEPTHVEGETATION HEIGHT
Platform(s):
CESSNA 206
Sensor(s):
Riegl Airborne Lidar
Data Format(s):
GeoTIFF
Temporal Coverage:
11 March 2022 to 25 October 2023
Temporal Resolution:
- Not applicable
Spatial Resolution:
- 0.5 meter
- 0.5 meter
Spatial Reference System(s):
WGS 84 / UTM zone 6N
EPSG:32606
Spatial Coverage:
N:
70
S:
64.5
E:
-148
W:
-148.5
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
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Documentation
Help Articles
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.