A grid-level fixed-asset model developed for China from 1951 to 2020

Xin, Danhua; Daniell, James Edward; Zhang, Zhenguo; Wenzel, Friedemann; Wang, Shaun Shuxun; Chen, Xiaofei

doi:https://doi.org/10.5194/nhess-25-1597-2025

Articles | Volume 25, issue 5

https://doi.org/10.5194/nhess-25-1597-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-25-1597-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 5

Research article

|

07 May 2025

Research article |

| 07 May 2025

A grid-level fixed-asset model developed for China from 1951 to 2020

Danhua Xin, James Edward Daniell, Zhenguo Zhang, Friedemann Wenzel, Shaun Shuxun Wang, and Xiaofei Chen

Data sets

Harmonization of DMSP and VIIRS nighttime light data from 1992-2021 at the global scale Xuecao Li et al. https://doi.org/10.6084/m9.figshare.9828827.v8

GHS-BUILT-S R2022A – GHS built-up surface grid, derived from Sentinel-2 composite and Landsat, multitemporal (1975–2030) Martino Pesaresi and Panagiotis Politis https://doi.org/10.2905/D07D81B4-7680-4D28-B896-583745C27085

GHS-POP R2022A – GHS Population Grid Multitemporal (1975–2030) Marcello Schiavina et al. https://doi.org/10.2905/D6D86A90-4351-4508-99C1-CB074B022C4A

The grid-level fixed asset model developed for China from 1951 to 2020 Danhua Xin et al. https://doi.org/10.5281/zenodo.12706096

Short summary

A high-resolution fixed-asset model can help improve the accuracy of earthquake loss assessment. We develop a grid-level fixed-asset model for China from 1951 to 2020. We first compile the provincial-level fixed asset from yearbook-related statistics. Then, this dataset is disaggregated into 1 km × 1 km grids by using multiple remote sensing data as the weight indicator. We find that the fixed-asset value increased rapidly after the 1980s and reached CNY 589.31 trillion in 2020.