A multiscale deep learning model for soil moisture integrating satellite and in-situ data

Name: A multiscale deep learning model for soil moisture integrating satellite and in-situ data
Published: Mon Feb 28 04:00:00 EST 2022

Dataset · Mon Feb 28 04:00:00 EST 2022

DOI:https://doi.org/10.5281/zenodo.6314345· OSTI ID:2217666

Liu, Jiangtao ^[1]; Rahmani, Farshid ^[2]; Lawson, Kathryn ^[2]; Shen, Chaopeng ^[2]

Pennsylvania State Univ., University Park, PA (United States); Pennsylvania State Univ., University Park, PA (United States)
Pennsylvania State Univ., University Park, PA (United States)

Model codes for the article: "A multiscale deep learning model for soil moisture integrating satellite and in-situ data"

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

References (1)

A multiscale deep learning model for soil moisture integrating satellite and in-situ data Jiangtao, Liu; Farshid, Rahmani; Kathryn, Lawson Zenodo https://doi.org/10.5281/zenodo.6363140	other	January 2022

A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data Liu, Jiangtao; Rahmani, Farshid; Lawson, Kathryn Geophysical Research Letters, Vol. 49, Issue 7 https://doi.org/10.1029/2021GL096847	journal	March 2022

A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data

Journal Article · Sun Mar 13 20:00:00 EDT 2022 · Geophysical Research Letters · OSTI ID:1978523

Deep multiscale model learning

Journal Article · Wed Nov 20 19:00:00 EST 2019 · Journal of Computational Physics · OSTI ID:1802155

54 ENVIRONMENTAL SCIENCES
LSTM
deep learning
in situ
multiscale
resolution effect
soil moisture