A novel scheme for seamless global mapping of daily mean air temperature (SGM_DMAT) at 1-km spatial resolution using satellite and auxiliary data

A novel scheme for seamless global mapping of daily mean air temperature (SGM_DMAT) at 1-km spatial resolution using satellite and auxiliary data

The daily mean air temperature (DMAT) is an essential descriptor of climate change. Seamless global DMAT maps will significantly improve our knowledge of terrestrial meteorological and climatic conditions. This study proposes a novel scheme, Seamless Global Mapping of Daily Mean Air Temperatures (SG...

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Bibliographic Details
Main Authors: Ran Huang, Shengcheng Li, Xin Zhu, Jianing Li, Yuanjun Xiao, Wei Weng, Qi Shao, Dengfeng Chai, Jingcheng Zhang, Yao Zhang, Lingbo Yang, Kaihua Wu, Zhihao Hu, Li Liu, Weiwei Sun, Weiwei Liu, Jingfeng Huang
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
Subjects:
Daily mean air temperature (DMAT)
Land surface temperature (LST)
MODIS
Gap filling
Remote sensing
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125002754
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