GTC-3039 GTC-3044 Update Palm Risk Analysis and WDPA

 - Update Palm Risk Analysis to 2023 (use new MODIS 2023 and
   increase use up to 2023 in the analysis for TCL and fire data)
 - Update FCD/AFi analyses to use Nov 2024 licensed WDPA

src/main/resources/raster-catalog-pro.json

@@ -14,7 +14,7 @@
     },
     {
       "name":"detailed_wdpa_protected_areas",
-      "source_uri":"s3://gfw-data-lake/wdpa_licensed_protected_areas/v202408/raster/epsg-4326/{grid_size}/{row_count}/detailed_iucn_cat/gdal-geotiff/{tile_id}.tif"
+      "source_uri":"s3://gfw-data-lake/wdpa_licensed_protected_areas/v202411/raster/epsg-4326/{grid_size}/{row_count}/detailed_iucn_cat/gdal-geotiff/{tile_id}.tif"
     },
     {
       "name":"gfw_oil_gas",

src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticAnalysis.scala

@@ -80,7 +80,7 @@ object ForestChangeDiagnosticAnalysis extends SummaryAnalysis {
                       // March. So, the most recent data relates to soy planted late
                       // in previous year. So, we should only intersect with tree
                       // cover loss from previous year.
-                      tree_cover_loss_soy_yearly = data.tree_cover_loss_soy_yearly.limitToMaxYear(2022)
+                      tree_cover_loss_soy_yearly = data.tree_cover_loss_soy_yearly.limitToMaxYear(2023)
                     )
                   }
                 }
@@ -131,7 +131,7 @@ object ForestChangeDiagnosticAnalysis extends SummaryAnalysis {
         usingIndex = true
       )
 
-    // This fire data is an input to the palm risk tool, so limit data to 2022 to sync
+    // This fire data is an input to the palm risk tool, so limit data to 2023 to sync
     // with the palm risk tool.
     joinedRDD.rdd
       .map { case (poly, points) =>
@@ -150,7 +150,7 @@ object ForestChangeDiagnosticAnalysis extends SummaryAnalysis {
       }
       .reduceByKey(_ merge _)
       .mapValues { fires =>
-        aggregateFireData(fires.merge(ForestChangeDiagnosticDataLossYearly.prefilled)).limitToMaxYear(2022)
+        aggregateFireData(fires.merge(ForestChangeDiagnosticDataLossYearly.prefilled)).limitToMaxYear(2023)
       }
   }
 

src/main/scala/org/globalforestwatch/summarystats/forest_change_diagnostic/ForestChangeDiagnosticData.scala

@@ -227,12 +227,12 @@ case class ForestChangeDiagnosticData(
     */
   def withUpdatedCommodityRisk(): ForestChangeDiagnosticData = {
 
-    /* Exclude the last year, limit data to 2022 to sync with palm risk tool:
+    /* Exclude the last year, limit data to 2023 to sync with palm risk tool:
     commodity_threat_deforestation, commodity_threat_peat, commodity_threat_protected_areas use year n and year n-1.
     Including information from the current year would under-represent these values as it's in progress.
     */
     val minLossYear = ForestChangeDiagnosticDataLossYearly.prefilled.value.keys.min
-    val maxLossYear = 2022
+    val maxLossYear = 2023
     val years: List[Int] = List.range(minLossYear + 1, maxLossYear + 1)
 
     val forestValueIndicator: ForestChangeDiagnosticDataValueYearly =