Further clarifications

Open-EO · Jan 18, 2023 · 72f3e84 · 72f3e84
1 parent 9260dfd
commit 72f3e84
Show file tree

Hide file tree

Showing 4 changed files with 54 additions and 20 deletions.
diff --git a/aggregate_spatial.json b/aggregate_spatial.json
@@ -26,7 +26,7 @@
         },
         {
             "name": "geometries",
-            "description": "Geometries for which the aggregation will be computed. Feature properties are preserved for vector data cubes and all GeoJSON Features.\n\nOne value will be computed per label in the dimension of type `geometries`, GeoJSON `Feature`, `Geometry` or `GeometryCollection`. For a `FeatureCollection` multiple values will be computed, one value per contained `Feature`. For example, a single value will be computed for a `MultiPolygon`, but two values will be computed for a `FeatureCollection` containing two polygons.\n\n- For **polygons**, the process considers all pixels for which the point at the pixel center intersects with the corresponding polygon (as defined in the Simple Features standard by the OGC).\n- For **points**, the process considers the closest pixel center.\n- For **lines** (line strings), the process considers all the pixels whose centers are closest to at least one point on the line.\n\nThus, pixels may be part of multiple geometries and be part of multiple aggregations. No operation is applied to geometries that are outside of the bounds of the data.",
+            "description": "Geometries for which the aggregation will be computed. Feature properties are preserved for vector data cubes and all GeoJSON Features.\n\nOne value will be computed per label in the dimension of type `geometries`, GeoJSON `Feature` or `Geometry`. For a `FeatureCollection` multiple values will be computed, one value per contained `Feature`. For example, a single value will be computed for a `MultiPolygon`, but two values will be computed for a `FeatureCollection` containing two polygons.\n\n- For **polygons**, the process considers all pixels for which the point at the pixel center intersects with the corresponding polygon (as defined in the Simple Features standard by the OGC).\n- For **points**, the process considers the closest pixel center.\n- For **lines** (line strings), the process considers all the pixels whose centers are closest to at least one point on the line.\n\nThus, pixels may be part of multiple geometries and be part of multiple aggregations. No operation is applied to geometries that are outside of the bounds of the data.",
             "schema": [
                 {
                     "type": "object",

diff --git a/filter_spatial.json b/filter_spatial.json
@@ -26,7 +26,7 @@
         },
         {
             "name": "geometries",
-            "description": "One or more geometries used for filtering, given as GeoJSON or vector data cube.\n\nLimits the data cube to the bounding box of the given geometries. No implicit masking gets applied. To mask the pixels of the data cube use ``mask_polygon()``.",
+            "description": "One or more geometries used for filtering, given as GeoJSON or vector data cube. If multiple geometries are provided, the union of them is used.\n\nLimits the data cube to the bounding box of the given geometries. No implicit masking gets applied. To mask the pixels of the data cube use ``mask_polygon()``.",
             "schema": [
                 {
                     "type": "object",

diff --git a/proposals/fit_class_random_forest.json b/proposals/fit_class_random_forest.json
@@ -10,15 +10,32 @@
         {
             "name": "predictors",
             "description": "The predictors for the classification model as a vector data cube. Aggregated to the features (vectors) of the target input variable.",
-            "schema": {
-                "type": "object",
-                "subtype": "datacube",
-                "dimensions": [
-                    {
-                        "type": "geometries"
-                    }
-                ]
-            }
+            "schema": [
+                {
+                    "type": "object",
+                    "subtype": "datacube",
+                    "dimensions": [
+                        {
+                            "type": "geometries"
+                        },
+                        {
+                            "type": "bands"
+                        }
+                    ]
+                },
+                {
+                    "type": "object",
+                    "subtype": "datacube",
+                    "dimensions": [
+                        {
+                            "type": "geometries"
+                        },
+                        {
+                            "type": "other"
+                        }
+                    ]
+                }
+            ]
         },
         {
             "name": "target",

diff --git a/proposals/fit_regr_random_forest.json b/proposals/fit_regr_random_forest.json
@@ -10,15 +10,32 @@
         {
             "name": "predictors",
             "description": "The predictors for the regression model as a vector data cube. Aggregated to the features (vectors) of the target input variable.",
-            "schema": {
-                "type": "object",
-                "subtype": "datacube",
-                "dimensions": [
-                    {
-                        "type": "geometries"
-                    }
-                ]
-            }
+            "schema": [
+                {
+                    "type": "object",
+                    "subtype": "datacube",
+                    "dimensions": [
+                        {
+                            "type": "geometries"
+                        },
+                        {
+                            "type": "bands"
+                        }
+                    ]
+                },
+                {
+                    "type": "object",
+                    "subtype": "datacube",
+                    "dimensions": [
+                        {
+                            "type": "geometries"
+                        },
+                        {
+                            "type": "other"
+                        }
+                    ]
+                }
+            ]
         },
         {
             "name": "target",