High-resolution seamless construction of XCO2 in China based on OCO-2 remote sensing data
Published: 17 February 2025| Version 1 | DOI: 10.17632/r3twzy6s7t.1
Contributors:
Zhaohua Liu, Peng Xie, Zhaoliang Zeng, Ke Gui, Yaqiang WangDescription
Using multi-source data, including OCO2-XCO2 data, ERA5 meteorological data, MODIS vegetation index data, elevation data, population data and carbon emission data, taking into account time characteristics, the optimal model is selected by comparing multiple machine learning models. Generate XCO₂ data sets with full daily coverage of 0.05° for the China region from 2015 to 2022.
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Categories
Remote Sensing, Environmental Analysis