Earth's changing climate impacts land, air, water, infrastructure, and economies—the ingredients of our daily lives. Understanding the causes of past and present climate change and being assured in forecasting changes depend directly on our ability to understand and model the earth systems' drivers of climate change. Esri's blended remote-sensing and geographic information system (GIS) technologies bridge the gap between big data, machine learning, and answers, providing business keys that address the impacts of climate change.
This webinar offers a wide lens on how organizations harness the value of earth observations and GIS technology to uncover insights that will make business thrive. We will explore customer applications and the strategies customers developed to extract the insights they needed.
Drawing on real-world use cases and business challenges, you will learn how to:
Who should attend?
Anyone interested in remote sensing or imagery science and analysis such as earth and data scientists, GIS users/analysts, geospatial analysts, programmers, project managers, management staff, and decision-makers.
More Details about Esri
Esri applies The Science of Where to connect everyone everywhere through a common visual language. It combines mapping and analytics to reveal deeper insight into data.
Esri, the global market leader in geographic information system (GIS) software, location intelligence, and mapping, offers the most powerful geospatial cloud available, to help customers unlock the full potential of data to improve operational and business results. Founded in 1969, Esri software is deployed in more than 350,000 organizations including 90 of the Fortune 100 companies, all 50 state governments, more than half of all counties (large and small), and 87 of the Forbes Top 100 Colleges in the US, as well as all 15 Executive Departments of the US Government and dozens of independent agencies. With its pioneering commitment to geospatial information technology, Esri engineers the most advanced solutions for digital transformation, the Internet of Things (IoT), and advanced analytics.