Machine learning-based seasonal SMAP soil moisture retrieval integrating MODIS drought indices: A case study of the Wujiang River Basin.

Zhao J, Lu H, Qu P, Yuan Y

DOI: 10.1371/journal.pone.0351643
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0351643,
  title = {Machine learning-based seasonal SMAP soil moisture retrieval integrating MODIS drought indices: A case study of the Wujiang River Basin.},
  author = {Zhao J and Lu H and Qu P and Yuan Y},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0351643},
  url = {https://doi.org/10.1371/journal.pone.0351643}
}

RIS

TY  - JOUR
TI  - Machine learning-based seasonal SMAP soil moisture retrieval integrating MODIS drought indices: A case study of the Wujiang River Basin.
AU  - Zhao J
AU  - Lu H
AU  - Qu P
AU  - Yuan Y
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0351643
UR  - https://doi.org/10.1371/journal.pone.0351643
ER  -

APA

J, Z., H, L., P, Q., & Y, Y. (2026). Machine learning-based seasonal SMAP soil moisture retrieval integrating MODIS drought indices: A case study of the Wujiang River Basin.. PloS one. https://doi.org/10.1371/journal.pone.0351643

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pubmed · retrieved 2026-09-25T14:58:32.440Z