Rashid et al. (2026) A deep learning-based framework for generating 100-m ECOSTRESS-like land surface temperature estimates

Identification

• Journal: Open MIND
• Year: 2026
• Date: 2026-01-01
• Authors: Rashid, Taufiq, Di Tian,
• DOI: None

Research Groups

Information not extractable from provided text due to corruption.

Short Summary

Information not extractable from provided text due to corruption.

Objective

• Information not extractable from provided text due to corruption.

Study Configuration

• Spatial Scale: Information not extractable from provided text due to corruption.
• Temporal Scale: Information not extractable from provided text due to corruption.

Methodology and Data

• Models used: Information not extractable from provided text due to corruption.
• Data sources: Information not extractable from provided text due to corruption.

Main Results

• Information not extractable from provided text due to corruption.

Contributions

• Information not extractable from provided text due to corruption.

Funding

• Information not extractable from provided text due to corruption.

Citation

@article{Rashid2026deep,
  author = {Rashid, Taufiq and Di Tian,},
  title = {A deep learning-based framework for generating 100-m ECOSTRESS-like land surface temperature estimates},
  journal = {Open MIND},
  year = {2026},
  url = {https://openalex.org/W7130485512}
}