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 # Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery
 
-This repository contains the code for the experiments of the following research article:
+This repository contains the **code** for the experiments of the following research article:
 
 **Citation:** Stomberg TT, Leonhardt J, Weber I and Roscher R (2023) Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery. Front. Artif. Intell. 6:1278118. doi: 10.3389/frai.2023.1278118. https://www.frontiersin.org/articles/10.3389/frai.2023.1278118
 
 The **AnthroProtect** dataset and the code for the data export are available at:
-**https://phenoroam.phenorob.de/geonetwork/srv/eng/catalog.search#/metadata/6b1b0977-9bc0-4bf3-944e-bc825e466435**.
+https://phenoroam.phenorob.de/geonetwork/srv/eng/catalog.search#/metadata/6b1b0977-9bc0-4bf3-944e-bc825e466435.
 
-The **trained model** of the main experiments of our publication can be downloaded at: **http://rs.ipb.uni-bonn.de/downloads/asos/**.
+The **trained model** of the main experiments of our publication can be downloaded at: http://rs.ipb.uni-bonn.de/downloads/asos.
 
 
 **Content of the ReadMe:**