UPDATE

soile/services.py

@@ -9,6 +9,7 @@ from django.utils import timezone
 
 from farm_data.context import load_farm_context
 from farm_data.models import SensorData
+from location_data.satellite_snapshot import build_location_satellite_snapshot
 from rag.services import get_soil_anomaly_insight
 
 from .anomaly_detection import build_anomaly_detection_card
@@ -198,7 +199,6 @@ def _load_sensor_network(current_sensor: Any) -> list[Any]:
     )
     queryset = SensorData.objects.select_related("center_location").prefetch_related(
         "plant_assignments__plant",
-        "center_location__depths",
     )
     if plant_ids:
         queryset = queryset.filter(
@@ -208,20 +208,27 @@ def _load_sensor_network(current_sensor: Any) -> list[Any]:
 
 
 def _soil_profile(sensor: Any) -> list[dict[str, Any]]:
-    depths = sensor.center_location.depths.all()
+    snapshot = build_location_satellite_snapshot(sensor.center_location)
+    metrics = snapshot.get("resolved_metrics") or {}
+    if not metrics:
+        return []
     return [
         {
-            "depth_label": depth.depth_label,
-            "field_capacity": depth.wv0033,
-            "wilting_point": depth.wv1500,
-            "saturation": depth.wv0010,
-            "nitrogen": depth.nitrogen,
-            "ph": depth.phh2o,
-            "sand": depth.sand,
-            "silt": depth.silt,
-            "clay": depth.clay,
+            "depth_label": "surface_30x30_remote_sensing",
+            "field_capacity": metrics.get("ndwi"),
+            "wilting_point": None,
+            "saturation": None,
+            "nitrogen": None,
+            "ph": None,
+            "sand": None,
+            "silt": None,
+            "clay": None,
+            "ndvi": metrics.get("ndvi"),
+            "lst_c": metrics.get("lst_c"),
+            "soil_vv_db": metrics.get("soil_vv_db"),
+            "dem_m": metrics.get("dem_m"),
+            "slope_deg": metrics.get("slope_deg"),
         }
-        for depth in depths
     ]
 
 
@@ -277,7 +284,7 @@ class SoilMoistureHeatmapService:
     def get_heatmap(self, *, farm_uuid: str) -> dict[str, Any]:
         current_sensor = (
             SensorData.objects.select_related("center_location")
-            .prefetch_related("plant_assignments__plant", "center_location__depths")
+            .prefetch_related("plant_assignments__plant")
             .filter(farm_uuid=farm_uuid)
             .first()
         )