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
Our online seminars 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.
Learn about the technical details of the Harmonized Landsat Sentinel-2 (HLS) effort from NASA and ESA (European Space Agency) presenters along with data product status and availability.
Join us for an introductory webinar to learn how to use asf_search, a new Python library for search and discovery of SAR data, created by NASA's Alaska Satellite Facility Distributed Active Archive Center (ASF DAAC).
This webinar will provide an introduction to the SeaHawk/HawkEye CubeSat ocean color mission, show you how to discover, access, and work with SeaHawk data, and walk participants through the process of requesting image scheduling for regions of interest.
Learn how NASA’s GES DISC is working to increase access to NASA Earth science data through interoperable GIS image services such as Web maps, StoryMaps, Web applications, and desktop applications including ArcGIS Pro or QGIS. We will also show you how to access the image service through open science frameworks such as Jupyter Notebooks.
Join us for an overview of NASA's LAADS DAAC, its Level-1 and atmospheric data products, and to explore different options to search, discover, and acquire the data.
The Daymet dataset provides long-term, continuous, gridded estimates of daily weather and climatology variables across North America. Join us for an introduction to the Daymet Version 4 Data Collection and for a demonstration on how to programmatically discover and subset Daymet data to a region and time period of interest.
Join us to learn more about the migration of NASA PO.DAAC physical oceanography data to the Earthdata Cloud hosted in the Amazon Cloud (AWS). During this webinar, we will discuss which data will be hosted in the cloud, show you options for how to migrate your ocean data discovery and access process to the cloud, and also provide useful resources to support you in navigating this migration.