Errata to “Improved SMAP Soil Moisture Retrieval Using a Deep Neural Network-Based Replacement of Radiative Transfer and Roughness Model”

Presents corrections to the paper, Errata to “Improved SMAP Soil Moisture Retrieval Using a Deep Neural Network-Based Replacement of Radiative Transfer and Roughness Model”.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Geoscience and Remote Sensing
Published
2024-12-19
DOI
https://doi.org/10.1109/tgrs.2024.3509152
Citations
2
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.41

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Errata to “Improved SMAP Soil Moisture Retrieval Using a Deep Neural Network-Based Replacement of Radiative Transfer and Roughness Model”

Norma Salinas, Jungho Im, Jaese Lee, Bokyung Son et al.
2 citations
IEEE Transactions on Geoscience and Remote Sensing
Soil Moisture and Remote Sensing
0.41
article

Errata to “Improved SMAP Soil Moisture Retrieval Using a Deep Neural Network-Based Replacement of Radiative Transfer and Roughness Model”

Norma Salinas, Jungho Im, Jaese Lee, Bokyung Son, Eric G. Cosio
article en
2 citations

Abstract

Presents corrections to the paper, Errata to “Improved SMAP Soil Moisture Retrieval Using a Deep Neural Network-Based Replacement of Radiative Transfer and Roughness Model”.

IEEE Transactions on Geoscience and Remote SensingVol. 63
Ulsan National Institute of Science and Technology (KR), Pontificia Universidad Católica del Perú (PE)
Ministry of Oceans and Fisheries
Openalex Percentile: Top 40%
Soil Moisture and Remote Sensing
0.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.