Publication Notices

Notifications of New Publications Released by ERDC

Contact Us

      

  

    866.362.3732

   601.634.2355

 

ERDC Library Catalog

Not finding what you are looking for? Search the ERDC Library Catalog

Machine Learning Analyses of Remote Sensing Measurements Establish Strong Relationships Between Vegetation and Snow Depth in the Boreal Forest of Interior Alaska

US Army Engineer Research and Development Center
Published July 21, 2021

Link: http://dx.doi.org/10.21079/11681/41222

This article was originally published in Environmental Research Letters on 15 June 2021. This research was funded by the U.S. Army ERDC Army Basic Research Program (Protection, Maneuver, Geospatial, Natural Sciences) and the DoD’s SERDP Project RC18-1170, MIPR W74 RDV80454928.18.

Report Number: ERDC/CRREL MP-21-11

Title: Machine Learning Analyses of Remote Sensing Measurements Establish Strong Relationships Between Vegetation and Snow Depth in the Boreal Forest of Interior Alaska

By: Thomas A. Douglas and Caiyun Zhang

Approved for public release; distribution is unlimited.

July 2021

18 pages / 1.7 MB


Contact
ERDC Library
601-634-2355
erdclibrary@ask-a-librarian.info

Release no. 22-203