This repository allows you to run radiative transfer models (RTM) to model the optical properties of vegetation canopies (mainly crops).
rtm_inv is essentially a "backend" repository containing
- functions to generate lookup-tables from forward runs of PROSAIL and (experimentally) SPART.
- functions to "invert" optical data by comparing observed with simulated spectra to obtain canopy and leaf traits from optical (satellite) imagery
The focus of rtm_inv currently is on optical satellite missions including Sentinel2A and B, Landsat 8 and 9, and PlanetScope SuperDove.
Please note:
rtm_invdoes not provide any capabilities to query and load satellite data. We recommend to use EOdal for this purpose.
Further sensors can be added as, both, PROSAIL and SPART output simulated spectra at a resolution of 1nm in the solar domain (400 to 2500 nm).
Coming soon ...
rtm_inv has been used in the following scientific studies:
| Study | Purpose | Code |
|---|---|---|
| Graf et al. (2022, IEEE-JSTARS) | Radiometric uncertainty propagation. | Python |
| Graf et al. (2023, RSE) | Crop trait retrieval. | Python |
| Graf et al. (under review) | Crop trait time series reconstruction. | Python |