Google tools for GIS Applications

Explore the Power of Google Cloud Platform for Geospatial Professionals

This course provides a comprehensive overview of Google Cloud Platform (GCP) tools specifically tailored for those working in geospatial fields. It's designed to give you a practical starting point with a broad range of GCP products, focusing on their applications in mapping, analysis, and remote sensing. We bridge the gap between detailed technical documentation and real-world geospatial use cases.

You'll learn how to leverage Google's powerful cloud infrastructure to enhance your geospatial workflows. The course covers:

• PostGIS on Google Cloud: Implement and configure a PostGIS instance within the Google Cloud environment, a robust spatial database extension for PostgreSQL.
• BigQuery for Geospatial Analytics: Import geospatial data into BigQuery, Google's serverless data warehouse, and perform fast, scalable analytical queries on your spatial datasets.
• Data Studio for Visualization: Visualize your BigQuery query results through interactive dashboards in Google Data Studio, making your geospatial insights easily shareable.
• Cloud Storage: Learn how to efficiently store and manage geospatial files in Google Cloud Storage.
• Google Earth Engine: Get hands-on experience with Google Earth Engine, a powerful platform for large-scale remote sensing analysis.
• Colaboratory (Jupyter Notebooks): Utilize Colaboratory, a hosted Jupyter Notebook environment, for interactive data exploration and analysis.
• Mapping APIs: Discover and implement Google's mapping APIs to display web maps, perform geolocation lookups, calculate routes, and access elevation data for any location on Earth.
• Cloud SQL & Cloud Shell Automation: Gain exposure to Cloud SQL and Cloud Shell for database management and automation tasks.

What You'll Gain:

This course equips you with the foundational knowledge to begin using Google Cloud Platform for geospatial applications. It's an ideal starting point for professionals looking to integrate cloud technologies into their mapping, GIS, and remote sensing projects.

Important Note: As of April 9, 2022, this course includes over 6.5 hours of content, covering Cloud SQL, BigQuery, Data Studio, Cloud Storage, and Cloud Shell automation. We are expanding the course in May 2022 with dedicated sections on Colaboratory, Google Earth Engine, and the Mapping APIs.

Cost Considerations: While Google Cloud tools aren't strictly open-source and involve costs, Google offers generous free tiers and affordable pricing, especially for small businesses. You only pay for the resources you consume. This course helps you understand how to effectively utilize these resources.