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OLI Resources
Earthdata resources for users working with NASA’s Operational Land Imager (OLI) include tutorials and other learning resources, news announcements such as instrument updates and data releases, user guides and related documents, and frequently asked questions.
Table of contents
OLI Learning Resources
This ARSET training outlines the basics of ecosystem services and natural capital accounting.
Training
Aug. 23-30, 2022
This ARSET training provides hands-on exercises to measure urban heat islands and construct heat vulnerability indices.
Training
Aug. 2-11, 2022
This ARSET training focuses on using NASA data products for monitoring human settlements and landscapes during armed conflict and forced displacement.
Training
June 14-23, 2022
This ARSET training focuses on introducing evapotranspiration (ET) products derived from remote sensing observations.
Training
June 1-15, 2022
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.
Webinar
May 19, 2022
Join us for an introduction to HLS data, services, and tools.
Webinar
May 18, 2022
Join us to learn more about the new Landsat Analysis Ready Data (ARD), other improvements to the USGS Landsat archive and to hear a status update for the Landsat 9 mission
Webinar
April 20, 2022
Cette formation ARSET explique comment appliquer les données de télédétection du UN Biodiversity Lab pour la conservation et le développement durable.
Training
April 14 - May 4, 2022
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A summary of datasets, products, and resources released by NASA's Distributed Active Archive Centers (DAACs) in April 2024.
News
May 7, 2024
Data from NASA's Fire Information for Resource Management System (FIRMS) help global Indji Watch customers stay aware of natural hazards.
Feature Article
April 30, 2024
Image captured on Feb 18, 2024, by the MSI instrument aboard ESA's Sentinel 2B satellite.
Worldview Image of the Week
Feb. 22, 2024
The open-source Cyanobacteria Finder (CyFi) uses machine learning to pinpoint areas that may contain harmful algal blooms in lakes, reservoirs, rivers, and other small water bodies.
Blog
Feb. 13, 2024
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