Tatum et al. (2026) Relationships Between Ephemeral Snowpack and Soil Moisture in Semiarid Forest Revealed by PlanetScope Imagery and Machine Learning

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Julia Tatum, Temuulen Tsagaan Sankey, Salli F. Dymond, Jarrett Barber, Kiona Ogle, Benjamín Lucas
• DOI: 10.1109/jstars.2026.3668229

Research Groups

[Information not available from the provided text.]

Short Summary

This paper investigates the relationships between ephemeral snowpack and soil moisture in semiarid forest environments, utilizing PlanetScope imagery and machine learning techniques.

Objective

• To reveal and understand the relationships between ephemeral snowpack and soil moisture in semiarid forest ecosystems.

Study Configuration

• Spatial Scale: [Information not available from the provided text.]
• Temporal Scale: [Information not available from the provided text.]

Methodology and Data

• Models used: Machine Learning (specific models not detailed in the provided text).
• Data sources: PlanetScope Imagery (satellite).

Main Results

[Information not available from the provided text.]

Contributions

[Information not available from the provided text.]

Funding

[Information not available from the provided text.]

Citation

@article{Tatum2026Relationships,
  author = {Tatum, Julia and Sankey, Temuulen Tsagaan and Dymond, Salli F. and Barber, Jarrett and Ogle, Kiona and Lucas, Benjamín},
  title = {Relationships Between Ephemeral Snowpack and Soil Moisture in Semiarid Forest Revealed by PlanetScope Imagery and Machine Learning},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3668229},
  url = {https://doi.org/10.1109/jstars.2026.3668229}
}