Content from all Earth science data sites are migrating into this site from now until end of 2026. Not all NASA Earth science data will appear across the site until then. Thank you for your patience as we make this transition.Read about the Web Unification Project
Webinars and Trainings
Our online webinars, trainings, and workshops feature experts in various disciplines who share their knowledge in a particular subject area, from data in the cloud to specific data tools.
Through NASA FIRMS, users can interactively view fire data via the Fire Map, search for both VIIRS and MODIS active fires/hotspots and sign-up to receive automated Fire Email Alerts for their geographic areas of interest. Join us to learn more!
Join us to learn how the new International Space Station (ISS) Lightning Imaging Sensor (LIS) data can be used within Python, GIS and other applications to study lightning that occurred during the 2017 hurricane season.
NASA Global Learning and Observations to benefit the Environment (GLOBE) Clouds is an international citizen science program that collects cloud observations from trained and untrained participants around the world and compares them with satellite data. Join us to learn more about the benefits and limitations of this citizen science data for scientific inquiry.
Join us to learn how to use NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC) State Of The Ocean (SOTO) toolkit to visualize and compare physical oceanography data!
This webinar will cover how SeaBASS can be leveraged for data search, discovery, and access, and will demonstrate how SeaBASS supports NASA’s ocean color satellite products and the broader scientific community. Join us to learn more!
The NASA Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) brings efficiency to your scientific workflow through its ability to subset, reformat, and reproject Earth science data in one step. Tune in to learn more!
During this webinar, we will provide an overview of the netCDF data format and show participants how to open, read, write and plot data that is in the netCDF format. The use case will focus on the Daymet meteorological variables data product.