Remote Sensing of Soil Water Retention Signatures Using Sentinel-2 Time-Series and Exponential Decay Fitting Model.

Meng L, Chen Y, Ma S, Wang Y, Liu H

DOI: 10.3390/s26123709
Published: 2026 Jun 10
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26123709,
  title = {Remote Sensing of Soil Water Retention Signatures Using Sentinel-2 Time-Series and Exponential Decay Fitting Model.},
  author = {Meng L and Chen Y and Ma S and Wang Y and Liu H},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26123709},
  url = {https://doi.org/10.3390/s26123709}
}

RIS

TY  - JOUR
TI  - Remote Sensing of Soil Water Retention Signatures Using Sentinel-2 Time-Series and Exponential Decay Fitting Model.
AU  - Meng L
AU  - Chen Y
AU  - Ma S
AU  - Wang Y
AU  - Liu H
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26123709
UR  - https://doi.org/10.3390/s26123709
ER  -

APA

L, M., Y, C., S, M., Y, W., & H, L. (2026). Remote Sensing of Soil Water Retention Signatures Using Sentinel-2 Time-Series and Exponential Decay Fitting Model.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26123709

Source records

pubmed · retrieved 2026-11-10T11:13:35.899Z