# Trusted Autonomous Operations of Distributed Satellite Systems Using Optical Sensors +
## 4 Results and Discussion
\begin{table}
\begin{tabular}{c c c} \hline \hline
**HW Accelerator** & **Inference Time (ms)** & **Power Consumption (W)** \\ \hline
**Movidius** & 5.8 & 1.4 \\ \hline
**Jetson TX2** & 3.0 & 4.8 (2.1 GPU only) \\ \hline
**Jetson Nano** & 3.4 & 2.6 (2.0 GPU only) \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Hardware accelerators performance [27; 57]. time to the stop time during which at least one satellite can observe the AOI. This must be done before the system-wide access percentage can be calculated [35]. The nadir-pointing orientation is the default attitude arrangement for the satellite. The cameras always aim straight down because they are aligned by default with the yaw axis; hence, the AOI is therefore no longer accessible to the cameras until their EA dips below 30 degrees. As a direct consequence of this, the FOV of the cameras limits the cumulative access percentage. On the other hand, if the DSS is able to connect with the ISL and have reactive components in the architecture, then the satellites will be able to communicate with the satellites that are positioned close to them. The cameras on the satellites will then be adjusted such that they are constantly directed in the direction of the AOI using active attitude control; the AOI will be observed as long as the Earth does not get in the way, as shown in Figure 9b,c, respectively. As a direct consequence of this, the percentage of system-wide access will now be constrained, not by the camera's field of view but rather by the AOI's minimum effective area. This is carried out according to the requirements that the owner/operator has for the time period that was requested. When the AOI moved into or out of the field of view of the camera, the access periods for that scenario began and ended at the appropriate times. To be more specific, it enters the FOV after the camera's EA has been greater than 30 degrees and leaves the FOV before the EA has been reduced to less than 30 degrees. The remaining time is spent with the camera oriented in the direction of the nadir. Australia  
Due to its climate, topography, and vegetation, Australia is susceptible to large-scale wildfires due to the interaction of all three factors. In recent years, there have been multiple instances of wildfires breaking out. A region in New South Wales that has a high risk of being affected by wildfires has been taken into consideration, and the analysis is currently taking place [50]. According to the initial findings of the investigation, the computed reconfiguration coverage for the Australian AOI is 95.9722%. This represents a coverage level that is nearly equivalent to real time for the monitoring of catastrophic events. Examining Figure 10, which depicts the system with access status being given for both the (a) nadir configuration and (b) the reconfiguration, this result can be comprehended in a more clear and concise manner. In the second scenario, the AOI is hidden from view for admittedly very short periods of time which endows the real-time/near-real-time monitoring. Figure 9: Satellite Field of View: (**a**) nadir pointing; (**b**) reconfiguration at the entry; (**c**) reconfiguration at the exit [35]. Africa  
In southern Africa, drier conditions have become more pronounced over the years, which has led to an increase in wildfire occurrence and extreme drought conditions. These conditions, either on their own or in combination, have led to a loss of crop productivity, the deaths of livestock and other wildlife, famine, and the degradation of ecosystems, as well as a reduction in water quality and quantity. It is anticipated that there will be a 5.4% rise in the annual burned area throughout southern Africa in particular. These conditions, which are typical of southern Africa with their large variations in rainfall and regular droughts, make the arid and semi-arid regions more prone to the outbreak of wildfires [64].