[1] | Zhang, B., Ouyang, C., Cui, P., et al. (2024). Deep learning for cross-region streamflow and flood forecasting at a global scale. The Innovation 5: 100617. DOI: 10.1016/j.xinn.2024.100617. |
[2] | Brocca, L., Zhao, W., and Lu, H. (2023). High-resolution observations from space to address new applications in hydrology. The Innovation, 4: 100437. DOI: 10.1016/j.xinn.2023.100437. |
[3] | Shi, Q., Zhu, J., Liu, Z., et al. (2024). The Last Puzzle of Global Building Footprints—Mapping 280 Million Buildings in East Asia Based on VHR Images. J. Remote Sens. 4: 0138. DOI: 10.34133/remotesensing.0138. |
[4] | Chen, Y., Xu, C., Ge, Y., et al. (2024). A 100-m gridded population dataset of China’s seventh census using ensemble learning and geospatial big data. Earth Syst. Sci. Data. 16: 1−19. DOI: 10.5194/essd-16-3705-2024. |
[5] | Xu, N., Lu, H., Li, W., et al. (2024). Natural lakes dominate global water storage variability. Sci. Bull. 69: 1016−1019. DOI: 10.1016/j.scib.2024.02.023. |
Zhang Z., Lu H., Xu N., et al., (2024). Comprehensive assessment of the recent dike breach at Dongting Lake. The Innovation Geoscience 2(4): 100106. https://doi.org/10.59717/j.xinn-geo.2024.100106 |
To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.
Satellite evaluation of the recent dike breach in Dongting Lake