SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans V001

This data set contains digital terrain models (DTMs) derived from terrestrial lidar scans (TLS) collected as part of the SnowEx 2023 campaign. Data were collected at the Bonanza Creek Experimental Forest near Fairbanks, Alaska in October 2022 (snow-off conditions) and March 2023 (snow-on conditions). The DTMs are provided as Geographic Tagged Image (GeoTIFF) files, where each file corresponds to a unique survey site. Unprocessed point cloud data from which these DTMs were derived are available as the SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans Raw, Version 1 (SNEX23_BCEF_TLS_Raw) data set

Data and Resources

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Additional Info

Field	Value
Maintainer	NSIDC Services
Last Updated	July 17, 2025, 17:16 (UTC)
Created	April 1, 2025, 00:38 (UTC)
accessLevel	public
bureauCode	{026:00}
catalog_@context	https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id	https://data.nasa.gov/data.json
catalog_conformsTo	https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy	https://project-open-data.cio.gov/v1.1/schema/catalog.json
citation	SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans V001. Version 1. Archived by National Aeronautics and Space Administration, U.S. Government, NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/R466GRXNA61S.
harvest_object_id	064ea63e-94ba-4c9c-8480-3a806b394201
harvest_source_id	61638e72-b36c-4866-9d28-551a3062f158
harvest_source_title	DNG Legacy Data
identifier	C2854618795-NSIDC_ECS
issued	2022-10-22
landingPage	https://doi.org/10.5067/R466GRXNA61S
language	{en-US}
metadata_type	geospatial
modified	2023-03-16
programCode	{026:001}
publisher	NASA NSIDC DAAC
resource-type	Dataset
source_datajson_identifier	true
source_hash	557ac89876c6291133f7ab34c20eed811d7f8861f6abd84778f5f1fd3057c9d2
source_schema_version	1.1
spatial	-148.325 -64.697 -148.278 64.714
temporal	2022-10-22T00:00:00Z/2023-03-26T23:59:59.999Z
theme	{geospatial}