Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators

Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators

The US Drought Monitor (USDM) is a hallmark in real time drought monitoring and assessment as it was developed by multiple agencies to provide an accurate and timely assessment of drought conditions in the US on a weekly basis. The map is built based on multiple physical indicators as well as report...

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Bibliographic Details
Main Authors: Pouyan Hatami Bahman Beiglou, Lifeng Luo, Pang-Ning Tan, Lisi Pei
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Big Data
Subjects:
USDM
machine learning
drought monitoring
logistic regression
random forest
SVM–support vector machines
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2021.750536/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2021.750536/full

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