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Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019

Metadata Updated: October 29, 2023

The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of four rivers in Alaska from July 24-26, 2019 to support research related to remote sensing of river discharge. Data were acquired for the Knik, Matanuska, Chena, Salcha, Tanana and Susitna Rivers using a Riegl VQ-580 LiDAR. The LiDAR was installed on a Robinson R44 Raven helicopter in a HeliPod that was designed and operated by CRREL. The LiDAR data included as part of this release include: a bare earth digital elevation model (DEM) in GeoTiff format and lidar point files in laz format for each river surveyed. Additionally, CRREL reports for each river surveyed are included as part of this data release. Several imagery data sets were collected coincident with the lidar surveys but will be part of a separate data release.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher U.S. Geological Survey
Identifier USGS:5db09e1ae4b0b0c58b56e17a
Data Last Modified 20220114
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 37c8157c-93ea-4048-8a5a-94a4de42db81
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -151.3477,60.8661,-143.2617,65.2933
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 245ec227e0765fa103131406cbf8e5766b48621c22c5f914c05b82175e39fc6a
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -151.3477, 60.8661, -151.3477, 65.2933, -143.2617, 65.2933, -143.2617, 60.8661, -151.3477, 60.8661}

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