Environmental Impact of Wildfires

[JulianRuiz319]

Data Science Lifecycle Focus: Data Analysis

Thematic Focus: California Wildfires

This lesson will focus on the environmental impact of California Wildfires, focusing on changes in land cover, vegetation loss, and air quality before, during, and after major wildfire events. Using NASA datasets such as MODIS and VIIRS, users will learn how to access, visualize, and interpret satellite imagery to assess wildfire severity and its broader implications for ecosystems, air quality, and human health. In addition to analyzing spatial data, the lesson will integrate external datasets, such as air pollution measurements, to provide a more comprehensive understanding of wildfire impacts.

https://www.earthdata.nasa.gov/news/worldview-image-archive/wildfires-los-angeles-california

Key Takeaways
-Learn techniques for downloading and processing satellite data.
-Identify areas affected by wildfires using spatial data.
-Analyze and interpret wildfire-related for actionable insights
-Integrate additional datasets, such as air quality measurements, for a comprehensive analysis.
-Develop Skills to monitor environmental changes and contribute to disaster response strategies.

This project/lesson aims to equip users with the skills and tools to monitor environmental changes, contributing to disaster response and long-term mitigation strategies. By the end of the lesson, users will have a deeper understanding of the role of data in addressing environmental challenges and advancing sustainable solutions.

[stevaughnborders]

This lesson appears to be a great way to integrate environmental science and data analysis! The use of NASA datasets such as MODIS and VIIRS to monitor wildfire effects is just right; this ensures that the users get to work with actual data. Incorporating air quality observations with the spatial data will certainly enhance the understanding of the effects of wildfires on the environment as well as on the health of the population. The key takeaways you’ve identified are accurate; this will help users gain useful skills in observing and analyzing environmental shifts, which are important in disaster management and prevention.

Thank you for coming up with such a relevant and useful lesson!

[jfmartinez4]

Keep working on this idea, it sounds like you're on the right path. I would also consider using population data to make a connection to satellite data and why it matters for humans.

[cdeodati]

This idea is very relevant and it seems like you have a clear idea of where your project will go. Are you planning on analyzing the recent wildfires or older wildfires? I would recommend focusing on one event in time to have a deep analysis if you are interested in looking at multiple variables. I also recommend looking at NDVI before and after wildfires to look at wildfire vulnerability and how fire has impacted vegetation.