Machine Learning Predicts Reach‐Scale Channel Types From Coarse‐Scale Geospatial Data in a Large River Basin-Reference-Cited by-同舟云学术

Machine Learning Predicts Reach‐Scale Channel Types From Coarse‐Scale Geospatial Data in a Large River Basin

Published:2020-03 Issue:3 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Guillon Hervé¹^ORCID,Byrne Colin F.¹^ORCID,Lane Belize A.²^ORCID,Sandoval Solis Samuel¹^ORCID,Pasternack Gregory B.¹^ORCID

Affiliation:

1. Department of Land, Air and Water Resources University of California Davis CA USA

2. Department of Civil and Environmental Engineering Utah State University Logan UT USA

Funder

California State Water Resources Control Board

U.S. Department of Agriculture

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR026691

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