## 3 Results
### Global Expectations and Recommendations  
Based on the analysis conducted in the RSC, performing OSINT and scraping using AIP, the main global expectations and recommendations are outlined below:  
* Develop an easily accessible data platform offering various processing levels, equipped with APIs compatible with Python, Javascript, and R. The platform should prioritize clarity, simplicity, and quick access, contrasting with the cumbersome ASI PRISMA data interface, which stands as a notable example of inconvenience, particularly for research and development purposes ([[https://appeears.earthdatacloud.nasa.gov/](https://appeears.earthdatacloud.nasa.gov/)]([https://appeears.earthdatacloud.nasa.gov/](https://appeears.earthdatacloud.nasa.gov/)) last accessed on 20 January 2024);
* Establish process chains and validated services through rigorous scientific analyses and publications, including case studies at different scales to highlight the limitations and potentials of sensors. The Theia portal serves as an exemplary model in this context ([[https://www.theia-land.fr/en/products/](https://www.theia-land.fr/en/products/)]([https://www.theia-land.fr/en/products/](https://www.theia-land.fr/en/products/)) last accessed on 20 January 2024);
* Implement data on cloud processing platforms like Google Earth Engine ([[https://eartheengine.google.com/](https://eartheengine.google.com/)]([https://eartheengine.google.com/](https://eartheengine.google.com/)) last accessed on 20 January 2024) and Microsoft Planetary. If data transfer implications to foreign multinationals pose challenges, a desirable alternative would be a free-cloud platform, especially for scientific research, respecting national interests and asset protection;
* Develop free GIS plugins and calibration functions, collaborating with research centers, such as Orfeo Toolbox, QGIS, and SAGA GIS;
* Integrate multispectral sensors that are spectrally equivalent or comparable to Sentinel-2;
* Ensure the availability of an always-accessible archive collection, preferably managed at the national and/or European level by public or private bodies but under public body control, addressing past issues seen with Copernicus mission data on Scihub; \begin{table}
\begin{tabular}{c c} \hline \hline
**Macro-Service** & **Topic** \\ \hline Land cover & Land \\ Monitoring of land movements & Land \\ Agriculture and Forestry & Land \\ Marine and coastal monitoring & Water \\ Monitoring of water resources & Water \\ Hydro-weather climate & Climate \\ Air quality & Atmosphere \\ Emergency management and safety & Security \\ \hline \hline \end{tabular}
\end{table} 
Table 3: IRIDE macro-service and topics. * Establish massive open online courses (MOOCs) on data processing and services, following the example set by ESA, DLR, CNES, such as EO college ([[https://eo-college.org/welcome](https://eo-college.org/welcome)]([https://eo-college.org/welcome](https://eo-college.org/welcome)) last accessed on 20 January 2024);
* In the alpine context, the availability of a spatially coeval digital terrain model (DTM) is crucial for bottom of atmosphere-surface reflectance (BOA-SR) products;
* Develop masks for clouds, shadows, and defective pixels at the same native resolution as the highest resolution band, ensuring clear application;
* Explore the possibility of acquiring a very high-resolution P-band synthetic aperture radars (SARs), especially beneficial for forest inventories in alpine areas and beyond;
* Strengthen the network of ground control points in the alpine area, addressing both related and derived products;
* Foster greater involvement of academies and research centers in the planning phase, particularly those working with these data at mountain levels;
* Consider the development of a thermal sensor with a resolution of less than 10 m, facilitating the creation of a one health service and enhancing vegetation monitoring;
* Correct co-registration of images to avoid shifting in the time series.