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This repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.

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Spring SBG 2024 VITALS Workshop

Please view the web-book for workshop details. **Resources in the VITALS repository have been developed using the Openscapes 2i2c JupyterHub cloud workspace. For local python environment setup instructions please see the Setup Instructions

VITALS

Welcome to the VSWIR Imaging and Thermal Applications, Learning, and Science Repository! This repository provides Python Jupyter notebooks to help users work with visible to short-wave infrared imaging spectroscopy data, thermal infrared data, and other products from the Earth Surface Mineral Dust Source Investigation (EMIT) and ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) missions. The instruments overlapping fields of view provide an unprecedented opportunity to demonstrate the compounded benefits of working with both datasets.

In the interest of open science this repository has been made public but is still under active development. Make sure to consult the CHANGE_LOG.md for the most recent changes to the repository. Contributions from all parties are welcome.


Contact Info

Email: [email protected]
Voice: +1-866-573-3222
Organization: Land Processes Distributed Active Archive Center (LP DAAC)¹
Website: https://lpdaac.usgs.gov/
Date last modified: 05-24-2024

¹Work performed under USGS contract 140G0121D0001 for NASA contract NNG14HH33I.

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This repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.

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