diff --git a/scripts/opera-rtc/choose_granules.py b/scripts/opera-rtc/choose_granules.py
index e19671f..1829f7f 100644
--- a/scripts/opera-rtc/choose_granules.py
+++ b/scripts/opera-rtc/choose_granules.py
@@ -1,7 +1,9 @@
 import json
-from random import sample
+import random
 
 import requests
+from shapely.geometry import Polygon, shape
+
 
 session = requests.Session()
 
@@ -34,17 +36,39 @@ def get_attribute_values(granule, attribute_name: str) -> list[str]:
 
 
 def choose_sample(candidates: list) -> None:
-    for granule in sample(candidates, 10):
+    random.seed(42)
+    for granule in random.sample(candidates, 10):
         print(f'{granule["meta"]["native-id"]},{get_corresponding_burst_granule_name(granule)}')
 
 
+def filter_extreme_terrain_sample(candidates: list) -> list:
+    with open('extreme_terrain.geojson') as f:
+        extreme_terrain = json.load(f)
+    geometries = [shape(feature['geometry']) for feature in extreme_terrain['features']]
+    filtered_candidates = []
+    for granule in candidates:
+        boundary = granule['umm']['SpatialExtent']['HorizontalSpatialDomain']['Geometry']['GPolygons'][0]['Boundary']
+        granule_geometry = Polygon([(pt['Longitude'], pt['Latitude']) for pt in boundary['Points']])
+        if any(geom.intersects(granule_geometry) for geom in geometries):
+            filtered_candidates.append(granule)
+    return filtered_candidates
+
+
 def over_antimeridian(granule: dict) -> bool:
-    longitudes = [point['Longitude'] for poly in granule['umm']['SpatialExtent']['HorizontalSpatialDomain']['Geometry']['GPolygons'] for point in poly['Boundary']['Points']]
+    longitudes = [
+        point['Longitude']
+        for poly in granule['umm']['SpatialExtent']['HorizontalSpatialDomain']['Geometry']['GPolygons']
+        for point in poly['Boundary']['Points']
+    ]
     return min(longitudes) < -160 and 160 < max(longitudes)
 
 
 def over_prime_meridian(granule: dict) -> bool:
-    longitudes = [point['Longitude'] for poly in granule['umm']['SpatialExtent']['HorizontalSpatialDomain']['Geometry']['GPolygons'] for point in poly['Boundary']['Points']]
+    longitudes = [
+        point['Longitude']
+        for poly in granule['umm']['SpatialExtent']['HorizontalSpatialDomain']['Geometry']['GPolygons']
+        for point in poly['Boundary']['Points']
+    ]
     return min(longitudes) < 0 < max(longitudes)
 
 
@@ -56,7 +80,7 @@ def main():
     print('S1A')
     choose_sample([g for g in granules if g['umm']['Platforms'][0]['ShortName'] == 'Sentinel-1A'])
     print('S1B')
-    # choose_sample([g for g in granules if g['umm']['Platforms'][0]['ShortName'] == 'Sentinel-1B'])
+    choose_sample([g for g in granules if g['umm']['Platforms'][0]['ShortName'] == 'Sentinel-1B'])
     print('IW1')
     choose_sample([g for g in granules if 'IW1' in get_attribute_values(g, 'SUBSWATH_NAME')])
     print('IW2')
@@ -79,6 +103,8 @@ def main():
     choose_sample([g for g in granules if over_prime_meridian(g)])
     print('antimeridian')
     choose_sample([g for g in granules if over_antimeridian(g)])
+    print('extreme terrain')
+    choose_sample(filter_extreme_terrain_sample(granules))
 
 
 if __name__ == '__main__':
diff --git a/scripts/opera-rtc/extreme_terrain.geojson b/scripts/opera-rtc/extreme_terrain.geojson
new file mode 100644
index 0000000..bcd2dda
--- /dev/null
+++ b/scripts/opera-rtc/extreme_terrain.geojson
@@ -0,0 +1,14 @@
+{
+"type": "FeatureCollection",
+"name": "extreme_terrain",
+"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
+"features": [
+{ "type": "Feature", "properties": { "id": 1 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -123.533649730993389, 40.299794170074641 ], [ -122.96633174912948, 40.307077898205705 ], [ -122.96123798498256, 39.85155893290883 ], [ -123.559755272246363, 39.881370166569987 ], [ -123.533649730993389, 40.299794170074641 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 2 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -127.194155991078205, 53.78915924532361 ], [ -127.117749528874327, 52.944239973438286 ], [ -128.212908820463468, 52.941170403193112 ], [ -128.233283877051178, 53.780130723008043 ], [ -127.194155991078205, 53.78915924532361 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 3 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -65.793922964029306, -18.018956465039317 ], [ -64.219949842629092, -18.062546495083271 ], [ -64.077324446515149, -20.093914126971761 ], [ -65.778641671588531, -20.065209234753272 ], [ -65.793922964029306, -18.018956465039317 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 4 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 9.960537429057796, 47.092162772998691 ], [ 11.942011682212103, 47.106032734146154 ], [ 11.987855559534436, 45.970849766061939 ], [ 9.914693551735461, 45.928349996811107 ], [ 9.960537429057796, 47.092162772998691 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 5 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 74.84999889675106, 35.881851296136439 ], [ 77.885882328319099, 35.832310531813782 ], [ 77.855319743437533, 34.60893880302541 ], [ 74.748123613812538, 34.58378052568807 ], [ 74.84999889675106, 35.881851296136439 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 6 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 94.899054579052745, 33.715409557239973 ], [ 99.809443216689644, 33.511792074345372 ], [ 99.890943443040456, 29.995737095612505 ], [ 94.878679522465049, 30.066296284463661 ], [ 94.899054579052745, 33.715409557239973 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 6 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 5.568439293370863, 62.312563852572133 ], [ 8.543197555175785, 62.326761339571874 ], [ 8.645072838114311, 60.589542636347346 ], [ 5.446188953844633, 60.694428932714814 ], [ 5.568439293370863, 62.312563852572133 ] ] ] ] } }
+]
+}