QuantCube, a leader in alternative data, has introduced four innovative real-time economic indicators derived from global satellite data provided by the European Space Agency (ESA). These indicators are designed to monitor environmental changes effectively.
The newly launched indicators encompass:
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Urban Growth Index: This measures development trends in cities and urban regions over time.
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NO2 Pollution Index: This tracks human activity by analyzing average nitrogen dioxide levels across various regions.
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Water Stress Index: This monitors water surface variations to predict potential droughts and water shortages.
- Agricultural Index: This observes land usage in agriculture to forecast shifts in agricultural yields.
Utilizing artificial intelligence and robust big data methods, these indicators cater to the increasing demand from financial institutions for insights into economic evolution regarding urban growth, agricultural productivity, pollution levels, and water resources. They offer detailed information at both regional and national levels.
In the long run, these indicators could serve as vital tools for assessing environmental sustainability.
Thanh-Long Huynh, CEO of QuantCube, stated that the company has collaborated closely with ESA over the past two years on a demonstration project, employing AI and deep learning techniques to harness earth observation data to develop these indicators. He emphasized, “Integrating ESA’s satellite data with our proprietary datasets enables us to provide a comprehensive set of indicators for tracking economic shifts in detail across essential sectors."
Volker Schumacher, an applications engineer at ESA, remarked, “We are thrilled that QuantCube is introducing these four Global Satellite indicators to the market, allowing financial institutions and other organizations to leverage this new real-time economic intelligence.”
The new QuantCube Global Satellite indicators are now integrated into QuantCube’s Macroeconomic Intelligence Platform, which also features real-time indicators for inflation, tourism, global trade, and other key macroeconomic variables.