Data Assimilation of images
C. Lauvernet et al.
https://hal.inrae.fr/hal-02608128
- Usually, remote sensing data and sequences are under-used, though their content in information is very high (shapes evolution, correlations, . . . )
- HR Images would also help to identify the landscape elements (grass strips, hedges,. . . )
- In classical approaches: uncorrelated noise, diagonal error covariance matrices
- How to provide observation error covariance matrices adapted to spatially correlated errors? [2]
- Focusing on the observations operator description, and distances definition in the DA scheme
[2] Chabot, V. et al., 2015. Accounting for observation errors in image data assimilation. Tellus A; Vol 67 (2015).
TO-DO
Data Assimilation of images
C. Lauvernet et al.
https://hal.inrae.fr/hal-02608128
[2] Chabot, V. et al., 2015. Accounting for observation errors in image data assimilation. Tellus A; Vol 67 (2015).
TO-DO