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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.
Want to learn how to use R and Python to work with remote sensing data? Join us as we demonstrate how to perform basic data preparation, processing, computation, and visualization techniques using ASTER and VIIRS Surface Reflectance data.
Two fundamental ways to use Earth remote sensing data are to examine anomalies and to monitor change. During this webinar we will show you how to generate difference maps with NASA Giovanni, Panoply and Excel. Join us to learn more!
Join us as we show new and experienced users how to use Vertex to discover and access Sentinel-1 synthetic aperture radar (SAR) data at NASA's Alaska Satellite Facility (ASF) Distributed Active Archive Center (DAAC).
Join us for an interactive overview of tools and resources at NASA's Global Hydrometeorology Resource Center DAAC for accessing data related to hazardous weather, its governing dynamical and physical processes, and associated applications.
Satellite passive microwave sensors provide particularly useful Earth observations as they can 'see’ through clouds and collect measurements both day and night. Join us to learn more about a new, enhanced-resolution passive microwave dataset!
Join us as we discuss remote sensing derived environmental indicator datasets that can enable environmental decision making. We focus on three major issue areas: ambient air pollution, coastal eutrophication and biomass burning.
Join us to learn how Toolsets for Airborne Data (TAD) facilitates quick and efficient airborne data discovery across data variables. Multiple filtering capabilities such as search based on high-level parameter groups, mission, platform and flight data ranges are available!
Interested in NASA's physical oceanography data? Join us to learn how to use the HiTIDE data subsetting tool for swath data as well as the PO.DAAC Drive, which provides http-based access to NASA PO.DAAC data holdings.