Solar Induced Fluorescence (SIF) Observations for Assessing Vegetation Changes Related to Floods, Drought, and Fire Impacts
Start Date:
Oct. 15, 2025
End Date:
Oct. 29, 2025
Description:
Solar-Induced Chlorophyll Fluorescence (SIF) provides a unique remote sensing approach for measuring photosynthetic activity, offering real-time insights into vegetation stress and productivity that surpass traditional indices (e.g. Normalized Difference Vegetation Index (NDVI)) in sensitivity and accuracy. This three-part training discusses the use of a remote sensing measure of photosynthesis to study the impact of extreme weather on cropland and ecosystems.
Targeted Audience:
Researchers, analysts, and end users who are interested in learning how to use SIF to study vegetative change for agriculture, land management, pre-fire conditions, and droughts. Students and academics who are interested in assessing vegetative change with satellite data and understanding SIF.
Expected Outcomes:
By the end of this training, attendees will be able to:
-Recognize how the Solar Induced Fluorescence (SIF) is measured and used as a complementary measurement to commonly used indices (NDVI) for land and vegetation applications.
-Identify advantages and limitations of using space-based SIF measurements to monitor and evaluate vegetation health and condition.
-Run a given Jupyter Notebook to generate a Snapshot Area Map (SAM) plot from OCO-3 data for selected regions of interest to analyze and evaluate vegetation and land change due to fire impacts.
-Run a given Jupyter Notebook using GoSIF data for selected regions of interest to produce visualizations to analyze and interpret episodic land change due to droughts and floods.
-Compare how SIF products aggregated in space and time using open source tools are used to study vegetation change across different regions in a variety of science and applied use cases.
