1-km Daily Mean Air Temperature (Ta) Dataset Generated by HyTC-TaNet

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Authors: Li Liu, Cian Yuan, Ran Huang
Cited by: 0

Abstract

This dataset provides 1-km resolution daily mean air temperature (Ta) data for [Hubei Province, Anhui Province and Jiangsu Province, China] covering the period from 2003 to 2018. It was generated using our proposed HyTC-TaNet, a novel hybrid deep learning model that effectively captures multi-day temporal dependencies by integrating multi-source remote sensing data, including Land Surface Temperature (LST) and meteorological observations. This dataset serves as the official supplementary material for our manuscript titled "HyTC-TaNet: A Hybrid Deep Learning Model Capturing Multi-day Temporal Dependencies for Daily Mean Air Temperature Estimation with Spatial Applicability Analysis" submitted to the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS).

Fields of Study & Subjects

Urban Heat Island Mitigation Remote Sensing in Agriculture Soil Moisture and Remote Sensing

Publication details

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