adding related work

README.md

@@ -8,8 +8,21 @@ This repository allows you to run radiative transfer models (RTM) to model the o
 
 The focus of `rtm_inv` currently is on optical satellite missions including [Sentinel2A and B](https://sentinel.esa.int/web/sentinel/missions/sentinel-2), [Landsat 8 and 9](https://landsat.gsfc.nasa.gov/satellites/landsat-9/), and [PlanetScope SuperDove](https://pubs.usgs.gov/of/2021/1030/f/ofr20211030f.pdf).
 
+> Please note:
+    `rtm_inv` does *not* provide any capabilities to query and load satellite data. We recommend to use [EOdal](https:\\github.com\EOA-Team\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).
 
-## Usage Example
+## Minimum Usage Example
+
+Coming soon ...
+
+## Work built on rtm_inv
+
+`rtm_inv` has been used in the following scientific studies:
 
-Coming soon ...
+| Study | Purpose |  Code |
+| ----- | ------- | ------ |
+| [Graf et al. (2022, IEEE-JSTARS)](https://doi.org/10.1109/JSTARS.2023.3297713) | Radiometric uncertainty propagation. | [Python](https://github.com/EOA-team/s2toarup) |
+| [Graf et al. (2023, RSE)](https://doi.org/10.1016/j.rse.2023.113860) | Crop trait retrieval. | [Python](https://github.com/EOA-team/sentinel2_crop_traits) |
+| [Graf et al. (under review)]() | Crop trait time series reconstruction. | [Python](https://github.com/EOA-team/sentinel2_crop_trait_timeseries) |