李 (2026) Research Data

Identification

• Journal: Mendeley Data
• Year: 2026
• Date: 2026-04-01
• Authors: 旭 李
• DOI: 10.17632/9s9frd6ntc

Research Groups

• Xinjiang University

Short Summary

This study provides SSMI data and results for identifying agricultural drought events in the Turpan-Hami Basin, along with the associated source code.

Objective

• To identify agricultural drought events in the Turpan-Hami Basin.

Study Configuration

• Spatial Scale: Turpan-Hami Basin
• Temporal Scale: Not specified in the provided data description.

Methodology and Data

• Models used: Not explicitly named, but source code for agricultural drought event identification is provided.
• Data sources: SSMI (Special Sensor Microwave/Imager) satellite data.

Main Results

• Identification of agricultural drought events in the Turpan-Hami Basin.

Contributions

• Provides SSMI data specific to the Turpan-Hami Basin.
• Delivers identified agricultural drought events for the region.
• Offers the source code used for the identification process, enhancing reproducibility and future research.

Funding

• Not specified in the provided data description.

Citation

@article{李2026Research,
  author = {李, 旭},
  title = {Research Data},
  journal = {Mendeley Data},
  year = {2026},
  doi = {10.17632/9s9frd6ntc},
  url = {https://doi.org/10.17632/9s9frd6ntc}
}