Incorporating "Where" in Open Scientific Analysis to Understand Earth Systems Processes

2021-06-16T17:00:00Z - 2021-06-16T18:00:00Z

For more than a half a century, Earth observation (EO) data has been presenting a synoptic view of our planet. Whether observing a region, a state, a country, or the globe, such a view is key for understanding Earth systems. In recent years, scientists, analysts, and conservationists have had massive volumes of EO data at their fingertips for applied scientific research. Digital slices of daily, weekly, and monthly temperatures or precipitation; global wind or weather patterns; land-cover maps; soil moisture or snow cover information; geological units; and hydrological network or demographics data offer a digital twin of the earth, layer by layer.

Geographic information system (GIS) technology provides a connective thread or spatial context to these layers and a geospatial framework to model and create the what-if scenarios that help us understand the complex challenges facing Earth and its response to biodiversity loss, ecosystem degradation, natural resources management, and climate change. ArcGIS, an open science ecosystem rooted in location intelligence or the "where,” is helping scientists use cutting-edge research tools to conduct analysis, advance science, and provide leaders with reliable information that can drive data-fueled action. This session explores ArcGIS, interoperability, Python libraries, and open data sharing with authoritative federal sources, for predictive analysis and links to shared notebooks so you can build your scientific models.

Drawing on real-world use cases, you will learn about the following:

  • An analytical ecosystem for multidisciplinary, extensible, and reproducible research
  • How to remain agile in problem solving using the ArcGIS ecosystem, which is open and interoperable to easily integrate and work with the tools and languages such as Python, Jupyter Notebooks, and R.
  • The power of ArcGIS Living Atlas of the World to enrich your scientific work with a broad spectrum of curated and ready-to-analyze data sources
  • How to create historical trends, see change, and make predictions using time series data

Who should attend this webinar?

Anyone interested in remote sensing or imagery science and analysis, such as earth and data scientists, GIS users/analysts, geospatial analysts, programmers, project managers, managers, and decision-makers.

To learn more please visit https://www.esri.com/sciences

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.

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