LP DAAC Learning Resources

Explore webinars, trainings, tutorials, and other learning resources from NASA’s Land Processes Distributed Active Archive Center (LP DAAC). Learn how to discover, access, process, and apply Earth science data from platforms and instruments such as MODIS, ASTER, VIIRS, GEDI, ECOSTRESS, EMIT, and HLS.

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LP DAAC maintains a collection of dataset and topic-specific GitHub repositories that include step-by-step tutorials, scripts, guides, and example workflows for getting started with LP DAAC data. Users can browse available resources in the LP DAAC Data Resources GitHub repository, which serves as a central hub and provides links to additional LP DAAC–maintained GitHub repositories for specific datasets and topics.

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Data collected by NASA's Earth Surface Mineral Dust Source Investigation (EMIT) on April 23, 2024, indicates the location of a variety of planet communites across a swath of the mid-Atlantic United States.

EMIT Tutorial Series

In this three-part tutorial series, learn how to use Python to process EMIT reflectance data.

Tutorial

June 14, 2023

Meet EMIT, the Newest Imaging Spectrometer on the International Space Station

Join us June 28 at 2 p.m., EDT [UTC-4], to learn about NASA's Earth Surface Mineral Dust Source Investigation (EMIT) measurements and datasets along with how to discover, access, and work with EMIT data.

Webinar

June 8, 2023

eBird trend tool showing data over the United States

Visualize Species Occurrence and Change Using the eBird Trend and Status Tool

The eBird tool leverages NASA's remote sensing data to monitor bird populations and habitats and aid in conservation efforts.

Data in Action

May 8, 2023

Access and Use the LP DAAC Data Resource GitHub Repository

The GitHub repository hosted by NASA's Land Processes Distributed Active Archive Center (LP DAAC) provides a range of materials for using LP DAAC data and tools.

Tutorial

April 21, 2023

The mineral map shows an area of southwestern Libya in the Sahara Desert observed by NASA's Earth Surface Mineral Dust Source Investigation (EMIT) mission

Python Tutorial: Explore EMIT L2A Reflectance

Learn to access, visualize, and analyze EMIT L2A surface reflectance data using Python.

Tutorial

Dec. 5, 2022

Water Use Efficiency, Carbon Mapping, and Wildfire Prediction

Read publication highlights that detail how ECOSTRESS data reveals water use efficiency patterns, GEDI enables precise forest carbon mapping, and moisture measurements improve wildfire prediction and management.

Data in Action

Aug. 25, 2022

Satellite Remote Sensing for Measuring Urban Heat Islands and Constructing Heat Vulnerability Indices

This ARSET training provides hands-on exercises to measure urban heat islands and construct heat vulnerability indices.

Training

Aug. 2-11, 2022

Remote Sensing with LP DAAC Data Assets and Cloud Processing – Part 2: Introduction to Cloud-based Remote Sensing Data Access and Processing with Python

View Part 2 of a workshop presented by LP DAAC to the University of California.

Webinar

May 22, 2022

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LP DAAC Learning Resources

EMIT Tutorial Series

Meet EMIT, the Newest Imaging Spectrometer on the International Space Station

Visualize Species Occurrence and Change Using the eBird Trend and Status Tool

Access and Use the LP DAAC Data Resource GitHub Repository

Python Tutorial: Explore EMIT L2A Reflectance

Water Use Efficiency, Carbon Mapping, and Wildfire Prediction

Satellite Remote Sensing for Measuring Urban Heat Islands and Constructing Heat Vulnerability Indices

Remote Sensing with LP DAAC Data Assets and Cloud Processing – Part 2: Introduction to Cloud-based Remote Sensing Data Access and Processing with Python

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