From 3638807e579fc4ddb2ca7fd42684e3c735f021d3 Mon Sep 17 00:00:00 2001 From: Bridget Hass <101811216+bhass-neon@users.noreply.github.com> Date: Mon, 25 Mar 2024 07:31:56 -0600 Subject: [PATCH] change last sentence --- .../R/AOP/Hyperspectral/Field-Spectra/explore_field_spectra.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tutorials/R/AOP/Hyperspectral/Field-Spectra/explore_field_spectra.md b/tutorials/R/AOP/Hyperspectral/Field-Spectra/explore_field_spectra.md index 76dc1407..9f3f47af 100644 --- a/tutorials/R/AOP/Hyperspectral/Field-Spectra/explore_field_spectra.md +++ b/tutorials/R/AOP/Hyperspectral/Field-Spectra/explore_field_spectra.md @@ -697,6 +697,6 @@ Here are some ideas to pursue on your own: 1. We demonstrated how to plot the field spectral sample together with the airborne remotely sensed reflectance of the pixel. What if there is a geographic mis-match between the field and airborne data? What other approaches could you use to align these datasets (eg. applying a buffer, integrating the CHM data)? What other factors might you want to consider (eg. shading of some of the tree crown pixels, etc.)? -2. This lesson demonstrates linking the airborne and leaf-clip spectral data for a single species. Your analysis might require running this kind of comparison for all of the spectral samples. How might you re-structure or re-factor the code to do this? +2. This lesson demonstrates linking the airborne and leaf-clip spectral data for a single species. Your analysis might require running this kind of comparison for all of the spectral samples. How might you build upon the code to do this? What re-factoring would be needed?