Design carbon-effective spatial data science

Photo by Yann Allegre on Unsplash

Carbon-effective means reducing the carbon footprint for an activity or process. Carbon emissions cause global warming and harm to the environment, so we need to focus on reducing them to fight climate change.

As geospatial engineers, we have a unique opportunity to make a positive impact on the environment through our work. The design, development, and deployment of software can have a significant impact on the carbon footprint of an organization. Using energy-efficient methods and practices reduces carbon emissions from software.

Carbon-effectiveness is an important consideration for geospatial engineers because it allows us to use our skills and expertise to build a more sustainable and environmentally friendly future.

Reducing the operational carbon footprint

From data cleansing to the execution of spatial workflows operationally. Some deep understanding of the underlying infrastructure and software implementation is necessary reducing the operational carbon footprint.

Google identified four best practices reducing the energy and carbon emissions for their machine learning workflows (Good News About the Carbon Footprint). They also published their detailed analysis minimizing the carbon footprint of some state-of-the art machine…