# HYPSO-1 CubeSat: First Images and In-Orbit Characterization
## 2 Mission and Payload Operations
### Research Campaigns  
During the spring of 2022, the HYPSO-1 satellite supported several research campaigns. Among these were a joint mission in Frohavet (outside the Trondheim jford in Norway) in April 2022, described in [30], a research campaign in Kongsfjorden in Svalbard, Norway, in May 2022 (with additional data collected during the summer of 2022) and surveillance of Mjosa, the largest lake in Norway, looking for an indication of HABs that may harm the water quality. In the following, some of the data from the research campaign in Kongsfjorden are presented and discussed. Kongsfjorden is a glacial fjord located on the west of the Spitsbergen coast in Svalbard, at the coordinates 78\({}^{\circ}\)59\({}^{\prime}\)N, 11-12\({}^{\circ}\)E, surrounded by mountains, calving glaciers, rivers and the small town of Ny-Alesund [31]. Normally, a spring bloom initiates biological production in April-May. Therefore, a joint research campaign was conducted in the period from 19 through the 29 of May 2022 by NTNU AMOS, University of Tromse--The Arctic University of Norway (UiT) and the University Centre in Svalbard (UNIS). The research campaign focused on the detection and mapping of biological and environmental variables in the fjord using multiple sensor platforms such as UAVs, ASVs, AUVs, Remotely  
Figure 3: RGB render of three consecutive HYPSO-1 captures over Greenland (81.7\({}^{\circ}\)N, 27.3\({}^{\circ}\)W) on 16 August 2022. The wavelengths used to represent Red, Green and Blue are 603, 565 and 498 nanometers, respectively. The images on the left hand side zooming in on the target area are taken from Google Maps. \begin{table}
\begin{tabular}{c c} \hline \hline
**Time (UTC)** & **Task** \\ \hline
10:50 & TLE in the planning tool is updated. \\  & Target within next upcoming pass is determined. \\ \hline
10:52 & Parameters for the new location are calculated. \\ \hline
10:56 & Observation of new location is added to the \\  & existing schedule. \\ \hline
11:02 & Combined scripts are generated. \\ \hline
11:13 & Scripts are ready for upload in the task list. \\ \hline
11:38 & Scripts are uploaded automatically during pass \\  & over the ground station. \\ \hline
12:07 & Capture takes place on the coast of Brazil. \\ \hline
13:11 & Ground station pass of 9.07 min, \\  & in which 30.84 MB of data was downlinked. \\ \hline
14:45 & Ground station pass of 7.10 min, \\  & in which 23.34 MB of data was downlinked. \\ \hline
16:17 & Ground station pass of 7.68 min, \\  & in which 24.42 MB of data was downlinked. \\  & The downlink of the data are finished (78.6 MB in total). \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Timing schedule of the quick-response planning of capturing the coast of Brazil at \(-\)39\({}^{\circ}\)83\({}^{\prime}\)N, \(-\)19\({}^{\circ}\)80\({}^{\prime}\)E.  
Operated Vehicles (ROVs), water samples collected from boats and in situ samples collected by divers, as envisioned with the observational pyramid. The details and outcomes of the campaign are not presented here. HYPSO-1 supported this research campaign by collecting hyperspectral data 2-4 times a day over Kongsfjorden during the main campaign period, and by continuing to monitor the area over the summer. In total, more than 30 images were acquired, excluding those deemed useless due to extensive cloud cover. An example of three of the images captured over Kongsfjorden by HYPSO-1 during the summer is shown in Figure 4. Daily changes in surface features in the fjord confirm the need to map such areas repeatedly to capture these dynamic events. The water color changes from a mix of green and light brown to deep reddish brown over only a couple of days. This suggests the presence of run-off from rivers and/or glaciers containing minerals with oxidized iron. Different colors indicate distinct minerals originating from various surrounding rivers, which might make it possible to trace them back to the river source [32].