Automated Wildfire Alerts: Operations with BigQuery, Cloud Functions, & Earth Engine |Geo4Good'23

👉 The slide deck for this talk → https://docs.google.com/presentation/...
🛰️ More about the 2023 Geo for Good Summit → https://g.co/earth/geoforgood23

❤️🌍 DESCRIPTION:
Join Michael DeWitt delve into Earth Engine's capabilities, empowering everyone from developers to environmental enthusiasts in the fight against wildfires. Harnessing the robust backend of Earth Engine, together with Cloud tools, this video demonstrates how GeoAlerts pushes critical data to stakeholders, alerting them when and where it matters most. Dive into this developer experience and see how innovative mapping technology is driving proactive responses to wildfires. Be inspired by the potential to use these techniques for a broader range of applications, contributing to a more sustainable future. Embrace this powerful intersection of technology and environmental stewardship, and explore how you can make an impact. Reuse the code, learn more about our initiatives, and stay tuned for the latest news in mapping technology driving social and environmental change.

#WildfireDetection #GoogleEarthEngine #Sustainability #Innovation #remotesensing #EarthEngine #cloudcomputing #GeographicInformationSystem #GIS #ClimateAnalysis #EarthObservation #climatechange #sustainability #geospatial #GeoAnalysis

💻 TIMESTAMPS:
0:00 - Introduction to Cloud Tools
2:42 - Operationalization Explained
6:02 - Overview of Cloud Tools for Data
7:41 - BigQuery Usage and Benefits
9:34 - Managing Earth Engine Tasks
11:07 - Cloud Function Example A
12:55 - Accessing Source Code
13:15 - Cloud Function Creation Process
17:30 - GOES Imagery Export Tutorial
21:20 - Error Handling in Cloud Functions
23:48 - Cloud Function Deployment Guide
24:53 - Cloud Scheduler Configuration
30:34 - Scheduled Cloud Function Test
33:08 - Troubleshooting Cloud Functions
35:48 - Interactive Q&A Session
37:38 - Data Ingestion Example 2
44:07 - Data Alerting Mechanisms Example 3
48:08 - BigQuery Export and Data Backfilling
57:45 - Creating BigQuery Datasets
58:30 - Backfilling Data into BigQuery
1:02:19 - Data Exploration with Looker Studio
1:12:19 - Mapping Integration Discussion
1:15:16 - Announcement of Upcoming Qwiklab
1:15:51 - Closing Remarks and Thanks

🎙️ SPEAKERS:
Michael DeWitt, Google

Geospatial Analysis,Google Earth Engine Applications, Looker Studio,Google Earth Developers,Google Earth Education,Cloud Geographer,Google Cloud,Cloud Services,Code Editor,Fire Detection Technology,Environmental Data Analysis,Realtime Alerts,Developer Tools,Environmental Monitoring,Google Earth Engine Resources,Google Earth Engine Conservation,Data Ingestion,Geospatial Data