## 5 Discussion
### Analysing End Users' Perception and Adoption of the Remote Sensing Products and Technology
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Name of Agency** & **Data Source** & **Data Archive** \\ \hline United States Geological Survey (USCS) & Landsat, MODIS, Sentinel-2, and others & [[https://eartheexplorer.usgs.gov](https://eartheexplorer.usgs.gov)]([https://eartheexplorer.usgs.gov](https://eartheexplorer.usgs.gov)) \\ \hline Sen2 Agri & R\&D on Sentinel-2 data & [[http://due.esrin.esa.int/page](http://due.esrin.esa.int/page)]([http://due.esrin.esa.int/page](http://due.esrin.esa.int/page))\_users.php \\ \hline National Aeronautics and Space Administrative (NASA) & MODIS, VIIRS, SMAP (data on vegetation dynamics) & [[https://www.earthdata.nasa.gov](https://www.earthdata.nasa.gov)]([https://www.earthdata.nasa.gov](https://www.earthdata.nasa.gov)) \\ \hline European Space Agency (ESA) & Sentinel satellites (Sentinel-2 and Sentinel-1 for vegetation monitoring) & [[https://scihub.copernicus.eu/dhus](https://scihub.copernicus.eu/dhus)]([https://scihub.copernicus.eu/dhus](https://scihub.copernicus.eu/dhus)) \\ \hline National Oceanic and Atmospheric Administration (NOAA) & AVHRR & [[https://www.avl.class.noaa.gov](https://www.avl.class.noaa.gov)]([https://www.avl.class.noaa.gov](https://www.avl.class.noaa.gov)) \\ \hline Food and Agriculture Organization (FAO) & Geospatial datasets in agriculture and vegetation & [[https://data.apps.fao.org/map/catalog/srv/](https://data.apps.fao.org/map/catalog/srv/)]([https://data.apps.fao.org/map/catalog/srv/](https://data.apps.fao.org/map/catalog/srv/)) \\ \hline Digital Earth Africa (DEA) & Sentinel-2, Landsat, Sentinel-1 and others & [[https://www.digitalearthafrica.org/](https://www.digitalearthafrica.org/)]([https://www.digitalearthafrica.org/](https://www.digitalearthafrica.org/)) \\ \hline Digital Earth Australia (DEA) & Sentinel-2, Landsat, Sentinel-1 and others & [[https://www.dea.ga.gov.au/about/open-data-cube](https://www.dea.ga.gov.au/about/open-data-cube)]([https://www.dea.ga.gov.au/about/open-data-cube](https://www.dea.ga.gov.au/about/open-data-cube)) \\ \hline Sentinel Hub & Cloud API for satellite imagery & [[https://www.sentinel-hub.com/](https://www.sentinel-hub.com/)]([https://www.sentinel-hub.com/](https://www.sentinel-hub.com/)) \\ \hline Google Earth Engine (GEE) & Cloud API for most satellite imagery archive & [[https://developers.google.com/earth-engine/datasets](https://developers.google.com/earth-engine/datasets)]([https://developers.google.com/earth-engine/datasets](https://developers.google.com/earth-engine/datasets)) \\ \hline Launch RAP (rangeland analysis platform) & Landsat (rangeland monitor for the USA) & [[https://rangelands.app/](https://rangelands.app/)]([https://rangelands.app/](https://rangelands.app/)) \\ \hline FORAGE & Landsat (rangeland monitor for Queensland) & [[https://www.longpaddock.qld.gov.au/forage/](https://www.longpaddock.qld.gov.au/forage/)]([https://www.longpaddock.qld.gov.au/forage/](https://www.longpaddock.qld.gov.au/forage/)) \\ \hline Linear Imaging Self-scanning sensor-3 (LISS-3) & Indian satellites (IRS-1C, IRS-1D and Resourcesat-2) for vegetation monitoring & [[https://www.isro.gov.in/](https://www.isro.gov.in/)]([https://www.isro.gov.in/](https://www.isro.gov.in/)) \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Global agencies providing satellite imagery to enable grasslands monitoring on demand. Currently, ESA (i.e., Sen2 Agri) and other global agencies provide a wide range of services to researchers and practitioners aiming to foster (R&D) to make Copernicus programs accessible to the worldwide community.