Anthropogenic heat is one of the products of urbanization, which refers to the heat produced by human activities and released into the atmosphere, mainly from various types of energy consumption and biological metabolism. This data set is the surface anthropogenic heat emission flux data of 500m × 500m spatial resolution in China's land surface area from 2000 to 2016 (2000 / 2004 / 2008 / 2012 / 2016). Data sources and processing methods: (1) through the collection of energy consumption data and socio-economic data of provinces and cities in 2000-2016, the annual average AHF of prefecture level cities (prefectures, districts and leagues) is estimated by the inventory method; (2) The AHF estimation model is established based on multi-source remote sensing data, and the grid AHF is obtained; (3) the AHF estimation results of time series are analyzed and tested, and the deviation values are corrected to improve the accuracy of the AHF estimation results. It is of great significance to understand and master the anthropogenic heat emission and its change for understanding the impact of urbanization on climate, environment and society.

File naming and required software

File name: AHF + yyyy, where yyyy represents the year
Data reading mode: GeoTIFF format, the output process uses compression algorithm. ArcGIS reading is recommended.

Data Citations Data citation guideline What's data citation?

Cite as:

Hu, D. (2020). Time-series anthropogenic heat flux of China land surface. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Socioeco.tpdc.270403. CSTR: 18406.11.Socioeco.tpdc.270403. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Wang, S., Hu, D., Yu, C., et al. (2020). Mapping China's time-series anthropogenic heat flux with inventory method and multi-source remotely sensed data, Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2020.139457( View Details | Bibtex)

2. Wang, S.S., Hu, D.Y., Chen, S.S., et al. ( 2019). A Partition Modeling for Anthropogenic Heat Flux Mapping in China. Remote Sensing, 11(9), 1132, DOI: 10.3390/rs11091132( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

National Natural Science Foundation of China (Number: 41671339) (No:41671339)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). Cite: S. Wang, D. Hu, C. Yu, et al., Mapping China's time-series anthropogenic heat flux with inventory method and multi-source remotely sensed data, Science of the Total Environment (2020), https://doi.org/10.1016/j.scitotenv.2020.139457. For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)