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