Merge branch 'main' into add-mlm-output

CHANGELOG.md

@@ -13,12 +13,15 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   [Machine Learning Model (MLM)](https://github.com/crim-ca/mlm-extension) output.
 - Example STAC `item-model-classes.json` demonstrating the use of `classification:classes` within a `mlm:output`.
 - `nodata` to `classification:classes`
+- `nodata` to Class Object
+- `percentage` to Class Object
+- `count` to Class Object
 - Regular expression to validate `name` is machine-readable
 
 ### Changed
 
 - Allow CommonMark for the `description` fields.
-- `classification:classes`: `name` is required rather than `description`
+- Class Object: `name` is required rather than `description`
 
 ### Fixed
 

README.md

@@ -121,6 +121,8 @@ For a real world example, see [Landsat 8's Quality raster](https://www.usgs.gov/
 | description | string   | Description of the class. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. |
 | color_hint  | string | Suggested color for rendering (Hex RGB code in upper-case without leading #)                                        |
 | nodata      | boolean  | If set to `true` classifies a value as a no-data value, defaults to `false`                                          |
+| percentage | number | The percentage of data values that belong to this class in comparison to all data values, in percent (0-100). |
+| count | integer | The number of data values that belong to this class. |
 
 Class objects enumerate data values and their corresponding classes.
 A cloud mask raster could contain the following four classes:

json-schema/schema.json

@@ -163,6 +163,15 @@
         },
         "nodata": {
           "type": "boolean"
+        },
+        "percentage": {
+          "type": "number",
+          "minimum": 0,
+          "maximum": 100
+        },
+        "count": {
+          "type": "integer",
+          "minimum": 0
         }
       }
     },