From 0e7eb48d25e21b81c029c2c9c59a358bd2f083db Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lo=C3=AFc=20Dutrieux?= Date: Wed, 26 Jun 2024 18:20:35 +0200 Subject: [PATCH] Minor textual changes to STAC gallery example --- docs/gallery/dontplot_bolivia_stac.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/docs/gallery/dontplot_bolivia_stac.py b/docs/gallery/dontplot_bolivia_stac.py index 3bbef52..4680289 100644 --- a/docs/gallery/dontplot_bolivia_stac.py +++ b/docs/gallery/dontplot_bolivia_stac.py @@ -140,16 +140,15 @@ # # Data preparation involves three primary steps: # -# - **Masking the Data**: Utilize the ``qa_pixel`` layer to mask clouds -# and shadows in Landsat imagery. Observations classified as “invalid” +# - **Masking the Data**: Use the ``qa_pixel`` layer to mask pixels contaminated +# by clouds and shadows. Observations classified as “invalid” # due to cloud or shadow coverage are converted to ``np.nan`` to signify missing data. # - **Applying Scale and Offset**: Adjust the raw satellite data by applying # necessary scaling factors and offsets to convert pixel values into -# scientifically meaningful units. -# - **Computing Vegetation Indices**: Specifically, calculating the -# Normalized Difference Vegetation Index (NDVI) to assess the -# density of plant growth in the area of interest. -# +# calibrated surface reflectance values. +# - **Computing Vegetation Indices**: Compute the Normalized Difference +# Vegetation Index (NDVI) which will be used later on in the monitoring process +# # Cloud Masking # ~~~~~~~~~~~~~ #