Page 7 - GIS for Science, Volume 3 Preview

Part 3: How We Look at Earth
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AI for Geospatial Analysis—Bonnie Lei, Microsoft; Kate Longley-Wood and Zach Ferdana, The Nature Conservancy; Susanna De Beauville- 104 Scott, Organisation of Eastern Caribbean States; and Nick Wise and Inga Wise, OceanMind
Marine and Earth scientists are using treasure troves of emerging geospatial data to apply artificial intelligence to their work as never before. Pervasive cloud computing and rapidly improving machine and deep-learning algorithm capabilities have combined to create a new GIS neural network.
120 The Science of Ocean Acoustics—By Chris Verlinden, Sarah Rosenthal, and Kevin Heaney, Applied Ocean Sciences 136
Mapping Extreme Events from Space—NASA Earth Sciences Division
Observations from land, ships, balloons, aircraft, satellites, and the International Space Station all help NASA understand the planet’s atmosphere, land cover, ice fields, and oceans. These datasets, collected from even the most remote areas of Earth, are freely and openly available to anyone.
Understanding the soundscape of the world involves using an array of global tracking data, acoustic propagation models, and GIS. Together, these data and technologies help scientists identify Earth’s loud and quiet places and learn about the implications of those results.
Part 4: Training Future Generations of Scientists
Spatial Thinking Effects on the Human Brain—Bob Kolvoord, James Madison University
The Geospatial Semester (GSS) partners Virginia high schools with the Integrated Science and Technology department at James Madison University. In addition to launching hundreds of students into academic careers in GIS and geographic sciences, GSS uniquely measures the effects of geospatial thinking on brain function. Its work provides compelling evidence that a spatial approach to science, technology, engineering, and math effectively teaches students crucial skills to succeed in college and beyond.
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Fueling Curiosity to Foster a Healthy Planet—Vicki Phillips, National Geographic Society 164
Geography opens the door for learners to better understand the interconnected world. It gives young people the insight to draw connections, measure how individual actions can change the world, assess costs and benefits, and seek solutions to the many complex questions about our planet. Operating at the intersection of exploration, documentation, and mapping, young National Geographic Explorers are positioning themselves to confront the future’s looming problems.
Teaching Spatial Data Science and Deep Learning—Ilya Zaslavsky, UCSD; and Dmitry Kudinov, Esri 172
Fueled by massive GIS data repositories, deep learning and neural networks enable data scientists to apply machine learning techniques to a growing range of real-world problems. Education leaders at the University of California San Diego are training a new generation of geo-literate scientists. This chapter explores the short history of deep neural networks, describes the teaching approach at UCSD, and examines several practical applications at the intersection of GIS and AI.
Part 5: Technology Showcase
Cloud Processing for Environmental Data Mapping Biodiversity
Modeling Global Streamflow—Past and Future Climate Data for the GIS Community Visualizing Vessel Traffic
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184 Monitoring Global Snow Cover 200 186 People for the People 202 188 Analyzing Global Water Quality over Time 204 190 Growing Degree Day Models 206 192 Interactive Suitability Modeling 208 194 Inside Submarine Volcanic Eruptions 210
A World of Sunken Ships Revealed with GeoAI
The Art of Frequency and Predominance
Understanding the Patterns of COVID-19 198
Spatiotemporal Machine Learning 212
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