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LP DAAC Learning Resources
Webinars, tutorials, data recipes and more to help you work with LP DAAC.
Quick Filters
This Python-based command-line script enables users to retrieve the Geolocation Accuracy QA flags for the input data.
External Resource
GitHub Repository
The ECOSTRESS_swath2grid.py script converts ECOSTRESS swath data products, stored in Hierarchical Data Format version 5 (HDF5, .h5) into projected GeoTIFFs.
External Resource
GitHub Repository
Learn how to work with the ECOSTRESS Evapotranspiration PT-JPL Daily L3 Global 70m Version 1 (ECO3ETPTJPL.001) data product in Python.
External Resource
GitHub Repository
Use NASA's Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) tool to access data for an area of interest.
Tutorial
Access data for a point of interest using NASA's Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) tool.
Tutorial
Join us to learn more about datasets and tools that enable the harmonization of remote sensing and in situ ecological data products for site-based research.
Webinar
Join us for an introduction to NASA’s Global Ecosystems Dynamics Investigation (GEDI) datasets and to learn how to use LP DAAC's web service, data prep script, and Jupyter Notebook Python tutorial series.
Webinar
Join representatives from NASA's Land Processes Distributed Active Archive Center (LP DAAC) to explore NASA's Earth Surface Mineral Dust Source Investigation (EMIT) data resources.
Webinar
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