From c8d65b8a2c66dfd925e9cd841b3fdbdd002de3d2 Mon Sep 17 00:00:00 2001 From: Kyle R Kovach <23402235+krkovach@users.noreply.github.com> Date: Sat, 5 Oct 2024 00:23:20 -0500 Subject: [PATCH] Update README.md --- .../Part_3_Trait_Mapping_with_Image/README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/book/tutorials/Townsend_Tutorials/Part_3_Trait_Mapping_with_Image/README.md b/book/tutorials/Townsend_Tutorials/Part_3_Trait_Mapping_with_Image/README.md index 0ae034a..ed36ab6 100644 --- a/book/tutorials/Townsend_Tutorials/Part_3_Trait_Mapping_with_Image/README.md +++ b/book/tutorials/Townsend_Tutorials/Part_3_Trait_Mapping_with_Image/README.md @@ -20,9 +20,9 @@ We're happy you're here! This tutorial is for the application of the foliar fun 2. Import the hyperspectral image tile into the **Data** folder of your newly downloaded and created repository. 3. Startup an instance of Jupyter Notebook 4. Edit the code line for the specific hyperspectral image file name. -4a. _(Optional)_ Edit the code line for the specific coefficient model file name. -5. Execute the code line by line in Jupyter Notebook to produce the foliar trait map. -6. Visualize the results +
4a. _(Optional)_ Edit the code line for the specific coefficient model file name. +6. Execute the code line by line in Jupyter Notebook to produce the foliar trait map. +7. Visualize the results ## What the code is actually doing: 1. Loads the hyperspectral image you specify