Strategies to reduce power consumption in pico-satellites

Abstract

To assess and rehabilitate degraded forests are global challenges. Due to the various causes and severity of degradation, they typically show a very diverse structure, which makes acquiring a detailed inventory, as a first step toward rehabilitation measures, difficult and costly. Area-based inventories based on satellite imagery are a well-established methodology to assess and classify the forest cover, but the information obtained is often not detailed enough to fulfil the needs of site-adapted rehabilitation in degraded forests with a highly diverse structure. Furthermore, due to the great variability of the forest structure, a great number of ground sample plots are necessary to establish statistically sound predictions of structural parameters. We propose to test a real mission in Azores Island, based on the typical pico-satellites architectures, after provide some strategies to create a new architecture design and predict power consumption, based on the sentences of low-power, very small scale, low-cost and very integrated system.