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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
Release no. 22-203