Daily All-Weather 30 m Land Surface Temperature over the Wanglang National Nature Reserve in 2022

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Zhao, Junli
DOI: 10.5281/zenodo.17668661
Cited by: 0

Abstract

This dataset provides daily, all-weather land surface temperature (LST) at 30 m spatial resolution for the Wanglang National Nature Reserve in Sichuan, China, for the year 2022. The product is generated using an integrated reconstruction–downscaling framework that simultaneously mitigates the impacts of cloud contamination and coarse thermal infrared resolution.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 February 2026
Document type
Dataset