EGU24-9622, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-9622
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.
High resolution 3-D mapping of soil organic carbon at field-scale with multi-source proximal sensing data fusion and INLA-SPDE
- 1College of Land Science and Technology, China Agricultural University, Beijing, China (wenjun.ji@cau.edu.cn)
- 2College of Land Science and Technology, China Agricultural University, Beijing, China (15305163772@163.com)
- 3College of Land Science and Technology, China Agricultural University, Beijing, China (libg@cau.edu.cn)
- 4College of Land Science and Technology, China Agricultural University, Beijing, China (1773994059@163.com)
- 5College of Land Science and Technology, China Agricultural University, Beijing, China (yfhuang@cau.edu.cn)
- 66. College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China (shizhou@zju.edu.cn)
- 7College of Land Science and Technology, China Agricultural University, Beijing, China (yinjianxin@cau.edu.cn)
- 8College of Land Science and Technology, China Agricultural University, Beijing, China (tsren@cau.edu.cn)
- 9College of Land Science and Technology, China Agricultural University, Beijing, China (zhouhu@cau.edu.cn)
How to cite: Ji, W., Hao, Y., Li, B., Yan, Y., Huang, Y., Shi, Z., Yin, J., Ren, T., and Zhou, H.: High resolution 3-D mapping of soil organic carbon at field-scale with multi-source proximal sensing data fusion and INLA-SPDE, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-9622, https://doi.org/10.5194/egusphere-egu24-9622, 2024.