Flood analysis
Floods are on the increase as an unfortunate side-effect of climate change. Assessing flood risk using the right GIS software & spatial data can help governments, environmental agencies & insurance companies to improve prevention, early warning mechanisms & mitigation efforts using predictive analytics. Whether it’s sophisticated Data Science workflows in Python, or web applications to share insights with decision-makers - our platform can help.
Air pollution analysis
Sources of air contamination are often difficult to monitor. GIS systems can be used to track EPA regulated pollutant emissions by delineating the effects of ozone, smog, dust, and other harmful airborne pollutants on plant and human life. Using spatial analysis, you can identify impacted areas, locate pollutant sources & predict change over time - allowing location data to inform policy relating to traffic, manufacturing & logistics.
Forest fire analysis
Monitoring & analyzing forest fires in real-time is fundamental in order to reduce the social & economic impact of such natural disasters. Using spatial data streams such as satellite imagery through our Data Observatory, you can visualize active fire perimeters & smoke density levels, providing vital information to rescue agencies, governments, citizens & other organizations.
Climate Insights
Intensifying storms, floods and sea level rise not only impact the health and safety of millions of people worldwide, but also compromise key infrastructure elements. Spatial data and analytics can help predict climate-related risks affecting the built environment, provide context and drive more informed infrastructure decisions across government departments.
Discover the different data streams you can use in your workflows to enhance your analysis during pandemics or natural disasters.
Download our Spatial Data Science ebook to discover how you can apply new techniques across your portfolio.
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