Public Sector

In partnership with Google Cloud, Climate Engine’s Enterprise Solution empowers the public sector to deliver on their mandates across a number of critical domains.

Leverage the power of Google + Geospatial insights.

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Climate Engine helps Google accelerate and scale the implementation of Earth Engine for public sector organizations. We do this to help the public sector deliver on mandates related to sustainability and climate resilience. 

Economic and environmental security depends on understanding and responding to change.

Responding to climate threats and building a sustainable future is dependent on the public sector delivering Earth insights to stakeholders. Governments cannot meet the challenge of climate change without doing this, making a scalable geospatial system a core piece of infrastructure.

In partnership with Google, Climate Engine’s Enterprise Solution accelerates public investments in scientific research to help quickly and efficiently deliver critical scientific insights to stakeholders. Climate Engine leverages Google’s world leading geospatial technology to bring research into operational contexts at scale and in formats that are analysis ready for AI/ML applications and decision making systems.

A Paradigm Shift: Algorithms to data, not data to algorithms

Government departments are facing a flood of data challenges. They need to produce insights for an ever increasing number of stakeholders in the context of unprecedented environmental change. And they need to do this while managing exponential growth in data, procurements, technologies, and research.

In collaboration with Google, Climate Engine has been developed to shift the paradigm in how public sector organizations manage, store, and deliver data. By leveraging Google’s advanced cloud, AI/ML and geospatial technologies, Climate Engine allows organizations to focus on delivering on their mandates, not time consuming data wrangling or complex procurements by: 

  • Federating raw data into one location
  • Leveraging Google Earth Engine’s 400+ datasets
  • Using rapid data ingest processes for government and commercial data
  • Processing data in the cloud
  • Delivering insights in analysis ready API

This allows scientists to bring their algorithms to the data and leverage a workflow that ends in an API so they can focus on delivering insights.

An improved pipeline for Earth observation data can help governments better deliver on a wide spectrum of mandates.

Climate Engine works across sectors and disciplines. These include:

Water

Enable future forecasting for flood, drought and wildfire, better manage water resources, and improve disaster preparedness through EO water data products.

Agriculture

Improve yields, more efficiently manage water, and better predict and model agriculture outputs by combining spaceborne data sources and land sensor measurements.

Finance

De-risk portfolios through near-term and long-term forecasts and projections, and monitor economic activities for better indicators.

Climate Change

Adapt to climate change through monitoring and forecasting environmental change. Leverage spaceborne data to better understand risk and manage disasters.

Infrastructure

Understand risks to critical infrastructure and assets such as hospitals, transportation routes, buildings, and homes, and plan for a climate resilient future.

Natural Resources

Better manage resources using remote sensing technologies. Monitor and evaluate sustainable practices across a supply chain.

Water

Enable future forecasting for flood, drought and wildfire, better manage water resources, and improve disaster preparedness through EO water data products.

Freshwater access and availability is one of the most important problems of the 21st century. At the same time, most of the world’s most costly and damaging extreme weather events are caused by water, namely drought and flood.

Earth observation allows for a detailed accounting of our available surface water resources as well as their use. This can help with better management and distribution of freshwater resources. Data analysis and insights can also enable planning for floods and future forecasting can help us better predict and prepare for natural disasters.

Agriculture

Improve yields, more efficiently manage water, and better predict and model agriculture outputs by combining spaceborne data sources and land sensor measurements.

Demands on our agricultural systems are continually increasing to meet the needs of the growing world population. At the same time, agriculture is increasingly at risk to severe drought and changing climatic patterns.

Earth observation can support growers and policy makers by providing data for better water management, tools for predicting crop yields at field, national and global scales, and support new markets for carbon sequestration.

Finance

De-risk portfolios through near-term and long-term forecasts and projections, and monitor economic activities for better indicators.

Climate change is a major challenge for financial institution, and it is accelerating. It is also becoming a sovereign credit risk as extreme weather threatens core infrastructures and economic outputs.

Earth observation data can provide value to governments in a number of ways. EO data can provide better insights into ESGs through better monitoring and evaluation. It can help financial institutions understand physical risk and opportunities. This data can also help de-risk portfolios threatened by extreme events such as flood, wildfire, and drought.

Climate Change

Adapt to climate change through monitoring and forecasting environmental change. Leverage spaceborne data to better understand risk and manage disasters.

The scope and scale of the climate crisis will largely be determined by how we act today. While we aren’t certain about which climate scenarios we will experience in the future, we do know that climate change is happening now and the future will not look like the past.

Earth observation data can help support climate action. It can assist in climate mitigation by providing data on where best to build renewable energy systems, monitoring and evaluation capacity for carbon sequestration markets, and identify greenhouse gas emissions. It can help support climate adaptation measures such as early warning systems, the identification of critical infrastructure at risk of climate hazards, and planning tools for better allocation of resources during disasters.

 

Infrastructure

Understand risks to critical infrastructure and assets such as hospitals, transportation routes, buildings, and homes, and plan for a climate resilient future.

The world’s current infrastructure is at risk to changing environmental systems. At the same time, a historic shift from rural to urban centres is fuelling global demand for new infrastructure.

The world is expected to invest around US$90 trillion in infrastructure over the next 15 years (see: New Climate Economy) and these investments will need to be built to be resilient to climate change. Earth observation data can be a critical tool for directing investments and protecting infrastructure through better planning and early warning systems.

Natural Resources

Better manage resources using remote sensing technologies. Monitor and evaluate sustainable practices across a supply chain.

Managing natural resources at the scale it requires has always been a challenging proposal. Adding climate risks such as wildfire, drought, and disease only makes it more difficult.

The proper implementation of EO data can help managers in pubic sector organizations better manage land that is in their care. It can be used to detect illegal deforestation, measure, report and verify on REDD commitments, and provide early warning systems for wildfire and drought.

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