Training Materials

Tutorial video on how to set up the AstroCast Python environment

This initial training video covers the downloading of the anaconda distribution of python, the training materials and provides a walk through of anaconda and creating a virtual environment with the necessary modules that will be used in the rest of the training.

Useful links used throughout part one of the training videos:

• As mentioned in the video

1. anaconda.com
2. sites.google.com/view/AstroCast-Training
3. https://github.com/AnBowell/AstroCastTraining.git

• Other useful links

1. Full Guide to managing conda environments
2. Good guide to Jupyter notebooks (Worth looking at before going through the training notebooks)

Tutorial videos on how to Download and Pre-Process MODIS Images to get VCI

Part 1 of the training includes:

• How to access the training materials
• How to download the HDF files
• Extracting and visualising image (Tiles) bands and converting to Tiff

Part 2 of the training includes:

• Merging (Mosaicing) tiff tiles
• Visualising merged tiles
• Computing and exploring NDVI values
• Computing and exploring VCI from NDVI

Forecasting, report creation and accuracy assessment.

PART 1

This first video will detail how to use the AstroCast codes to forecast VCI 10 weeks into the future and then created reports with this information.

Useful links:

• AstroCast training support slack: https://join.slack.com/t/astrocastsupport/shared_invite/zt-e2gqkagw-OGv7HlTREcYb76h9JMuWMw

The link above is an invite to join the slack where you can ask members and admin questions about the training videos or any other topic for that matter.

PART 2

This second video explains hindcasts and how they can be used to assess the accuracy of your forecast.

Useful links:

• AstroCast training support slack: https://join.slack.com/t/astrocastsupport/shared_invite/zt-e2gqkagw-OGv7HlTREcYb76h9JMuWMw

The link above is an invite to join the slack where you can ask members and admin questions about the training videos or any other topic for that matter.