session ideas

[eeholmes]

satellit book club videos https://www.youtube.com/playlist?list=PLQy8yXTKzcPIyhqfvpjqquO5nm7VCMe4A

https://www.youtube.com/playlist?list=PLJzZC8w9vPV3kIBVNmQYzZfHO6vGZeNhN https://www.youtube.com/playlist?list=PLJzZC8w9vPV3kIBVNmQYzZfHO6vGZeNhN

https://appliedsciences.nasa.gov/get-involved/training/english/arset-biodiversity-applications-airborne-imaging-systems

https://rammb2.cira.colostate.edu/training/visit/

https://rammb2.cira.colostate.edu/training/2024_ams_satellite_short_course/

Amy Huff - NOAA Affiliate amy.huff@noaa.gov | Amy Huff - NOAA Affiliate amy.huff@noaa.gov Thanks for reaching out about the AMS Short Course that my colleague Rebekah Esmaili (cc'd) and I taught at last year's AMS meeting. All of the Notebook files, .yml configuration file, and background info are available via Rebekah's github (STAR won't let me use github for end users): https://github.com/modern-tools-workshop/AMS-python-workshop-2023

Modern Programming Tools for Earth Science https://github.com/modern-tools-workshop

Python for Remote Sensing: Analysis, Visualization, and Workflow for Earth Scientists https://www.rebekahesmaili.com/workshop.html#overview

Earth's Radiation Budget https://github.com/modern-tools-workshop/UMD-ERB-tutorial?tab=readme-ov-file

Python for Earth Sciences https://github.com/modern-tools-workshop/AGU-python-workshop-2022

[eeholmes]

Learn Dask

https://docs.google.com/presentation/d/1HjOXgvlGcq01srJF5RD7y5sx5u8pXJzHb1E5W7s9aKc/edit#slide=id.g270e53e38ea_0_16

[eeholmes]

Hyperspectral data in R https://www.neonscience.org/resources/learning-hub/tutorials/introduction-hyperspectral-remote-sensing-data-r https://ourcodingclub.github.io/tutorials/spatial/

[eeholmes]

https://www.jstatsoft.org/article/view/v043i04

[eeholmes]

Go throuth this book https://earth-env-data-science.github.io/intro.html