Environmental analysis: once environmental data has been collected and stored, various computational and processing tools are required to perform the analysis and comparison of data available. This may include land, soil, water and atmospheric quality assessment tools, including technologies for analysis of atmospheric conditions including Greenhouse Gas (GHG) emissions and pollutants, and the tracking of both water quality and availability. The data analysis may also include correlating raw observational data with second order environmental measures such as biodiversity. Environmental analysis often draws on geographically distributed computational and data resources. Analysis is closely related to observation and a feedback loop must exist between the various sources of data and the agencies and applications that make use of this data. This application is discussed in more detail in the following sections.