# XCO\({}_{2}\) Super-Resolution Reconstruction Based on Spatial Extreme Random Trees
## 4 Conclusions
Additionally, given the diverse and complex environmental factors influencing XCO\({}_{2}\), there is a necessity for more in-depth research into the intricate relationships between influencing factors and XCO\({}_{2}\). By employing spatial statistical analysis and time series analysis, we aim to thoroughly explore the spatiotemporal information embedded in long time series CO\({}_{2}\) satellite observations, meteorological station data, and other relevant datasets. By integrating data from various time points and spatial locations, we seek to acquire a more comprehensive and holistic understanding of spatiotemporal dynamics, thereby continuously enhancing the resolution reconstruction models for XCO\({}_{2}\) data. Conceptualization, X.L. and S.J. ; methodology, S.J. ; software, T.W. ; validation, X.L., S.J., and S.Z. ; formal analysis, T.W. ; investigation, S.J. ; resources, T.W. ; data curation, X.L. ; writing--original draft preparation, X.W. ; writing--review and editing, D.J. ; visualization, X.L. ; supervision, X.L. ; project administration, J.G. ; funding acquisition, T.W. All authors have read and agreed to the published version of the manuscript. This research was funded by the Jiangsu Province Ecological Environment Monitoring Fund (project number: 2216) and the Common Application Support Platform for National Civil Space Infrastructure Land Observation Satellites (grant number: 2017-000052-73-01-001735). Not applicable. The XCO\({}_{2}\) dataset used in this article can be obtained from the following link: ([[https://doi.org/10.5281/zenodo.7793917](https://doi.org/10.5281/zenodo.7793917)]([https://doi.org/10.5281/zenodo.7793917](https://doi.org/10.5281/zenodo.7793917)) (accessed on 10 February 2024)). The DEM, NDVI, WND, and RH data were collected from the Chinese Academy of Sciences Resource and Environment Science and Data Center via the following link: ([[https://www.resdc.cn](https://www.resdc.cn)]([https://www.resdc.cn](https://www.resdc.cn)) (accessed on 10 February 2024)). The TEM and PRE data used in this article were sourced from the National Earth System Science Data Center. The data can be accessed through the following link: ([[http://loess.geodata.cn/](http://loess.geodata.cn/)]([http://loess.geodata.cn/](http://loess.geodata.cn/)) (accessed on 10 February 2024)). The GPP data were obtained from the Global Ecology Group and can be accessed via the following link: ([[https://globalecology.unh.edu/](https://globalecology.unh.edu/)]([https://globalecology.unh.edu/](https://globalecology.unh.edu/)) (accessed on 10 February 2024)); the NTL data were obtained from the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, and can be accessed via the following link: ([[https://www.zybulu.com/novachen/note/1162587](https://www.zybulu.com/novachen/note/1162587)]([https://www.zybulu.com/novachen/note/1162587](https://www.zybulu.com/novachen/note/1162587)) (accessed on 10 February 2024)); and the POP data were obtained from Oak Ridge National Laboratory and can be accessed at the following link: ([[https://landscan.ornl.gov/](https://landscan.ornl.gov/)]([https://landscan.ornl.gov/](https://landscan.ornl.gov/)) (accessed on 10 February 2024)).