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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.
OLI Learning Resources
Esta capacitación de ARSET cubre cómo usar datos del UN Biodiversity Lab para conservación y desarrollo sostenible.
Training
April 14 - May 4, 2022
This ARSET training shares how to apply UN Biodiversity Lab remote sensing/geospatial data for conservation and sustainable development priorities.
Training
April 14 - May 4, 2022
Esta capacitación de ARSET cubre el Kit de herramientas de observación de la Tierra para ciudades y asentamientos humanos sostenibles.
Training
Jan. 27 - Feb. 10, 2022
This ARSET training provides an overview of the Earth Observations Toolkit for Sustainable Cities and Human Settlements.
Training
Jan. 27 - Feb. 10, 2022
This ARSET training provides participants with the skills to combine in situ measurements and optical remote sensing data to assess water quality.
Training
Nov. 30 - Dec. 7, 2021
This ARSET training provides an overview of NASA resources for monitoring climate change and its impacts.
Training
Sept. 29 - Oct. 6, 2021
Esta capacitación de ARSET cubre similitudes y diferencias entre MODIS y VIIRS para monitoreo de calidad del agua.
Training
Sept. 14-21, 2021
This ARSET training provides an overview of the similarities and differences between MODIS and VIIRS for water quality monitoring.
Training
Sept. 14-21, 2021
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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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