diff --git a/algorithm_catalog/sentinel1_stats/sentinel1.png b/algorithm_catalog/sentinel1_stats_files/sentinel1.png
similarity index 100%
rename from algorithm_catalog/sentinel1_stats/sentinel1.png
rename to algorithm_catalog/sentinel1_stats_files/sentinel1.png
diff --git a/algorithm_catalog/sentinel1_stats/sentinel1_stats_description.md b/algorithm_catalog/sentinel1_stats_files/sentinel1_stats_description.md
similarity index 100%
rename from algorithm_catalog/sentinel1_stats/sentinel1_stats_description.md
rename to algorithm_catalog/sentinel1_stats_files/sentinel1_stats_description.md
diff --git a/openeo_udp/sentinel1_stats/README.md b/openeo_udp/sentinel1_stats/README.md
index acd4bdf..0ba266d 100644
--- a/openeo_udp/sentinel1_stats/README.md
+++ b/openeo_udp/sentinel1_stats/README.md
@@ -1,4 +1,15 @@
-Calculate S1 SAR stats (min, max, mean, sd, q10, q50, q90). 
+# Description
 
-This service can cost an approximate of 3-5 credits per sq km. 
-This cost is based on resource consumption only and added-value cost has not been included.
+This algorithm derives temporal statistics from the Sentinel-1 GRD collection for the selected spatial- and temporal extent of interest. In order to callibrate the SAR backscatter signal, `sigma0-ellipsoid` has been applied within this workflow. 
+
+
+# Performance characteristics
+The algorithm was evaluated for a spatial extent of 20x20km, for a temporal period of 3 months. The total cost for the performed evaluation was equal to 4 credits, thereby highlighting the efficiency of the underlying algorithm.
+
+
+
+# Examples
+
+Below we show the derived minimum and maximum values for both VV and VH bands, calculated for the 20x20 km2 area of interest. 
+
+![s1_stats](sentinel1.png)
\ No newline at end of file
diff --git a/openeo_udp/sentinel1_stats/sentinel1_stats.json b/openeo_udp/sentinel1_stats/sentinel1_stats.json
index 2993b6c..5583444 100644
--- a/openeo_udp/sentinel1_stats/sentinel1_stats.json
+++ b/openeo_udp/sentinel1_stats/sentinel1_stats.json
@@ -150,7 +150,7 @@
   },
   "id": "sentinel1_stats",
   "summary": "Calculate Sentinel-1 SAR stats",
-  "description": "Calculate S1 SAR stats (min, max, mean, sd, q10, q50, q90). \n\nThis service can cost an approximate of 3-5 credits per sq km. \nThis cost is based on resource consumption only and added-value cost has not been included.\n",
+  "description": "# Description\n\nThis algorithm derives temporal statistics from the Sentinel-1 GRD collection for the selected spatial- and temporal extent of interest. In order to calibrate the SAR backscatter signal, `sigma0-ellipsoid` has been applied within this workflow.\n\n# Performance characteristics\nThe algorithm was evaluated for a spatial extent of 20x20km, for a temporal period of 3 months. The total cost for the performed evaluation was equal to 4 credits, thereby highlighting the efficiency of the underlying algorithm.\n\n# Examples\n\nBelow we show the derived minimum and maximum values for both VV and VH bands, calculated for the 20x20 km2 area of interest.\n\n![s1_stats](./sentinel1.png)",
   "parameters": [
     {
       "name": "spatial_extent",