fix doc

allenai · Feb 6, 2025 · 5665ba4 · 5665ba4
1 parent 8209d1a
commit 5665ba4
Showing 1 changed file with 2 additions and 1 deletion.
diff --git a/docs/landsat_vessels.md b/docs/landsat_vessels.md
@@ -56,7 +56,8 @@ Here, `scratch_path` saves the rslearn dataset, `crop_path` saves the cropped RG
 
 The prediction pipeline also accepts a Landsat scene ID and automatically downloads the scene images from [AWS](https://aws.amazon.com/marketplace/pp/prodview-ivr4jeq6flk7u#resources). You will need to set up your AWS account for accessing Landsat data. Use the command below to run the pipeline with scene ID:
 
-    python -m rslp.main landsat_vessels predict --scene_id LC08_L1TP_125059_20240727_20240801_02_T1
+    python -m rslp.main landsat_vessels predict --scene_id LC08_L1TP_125059_20240727_20240801_02_T1 --geojson_path out.geojson --scratch_path scratch_dir/
+    qgis out.geojson scratch_dir/windows/default/default/layers/landsat/B8/geotiff.tif
 
 
 Training