diff --git a/README.md b/README.md
index b66d5f7..8a65c91 100644
--- a/README.md
+++ b/README.md
@@ -9,10 +9,9 @@ If you are interested in using openEO together with Google Earth Engine, [expres
 
 ## Demo
 
-* The most recent version (openEO API v1.0.0) is running at https://earthengine.openeo.org/v1.0
-* The previous stable version (openEO API v0.4.2) is running at https://earthengine.openeo.org/v0.4
+The demo instance is running at https://earthengine.openeo.org (supporting openEO API versions 0.4 and 1.0)
 
-Multiple user accounts are available to be used (`group1`, `group2`, ... until `group15`), each with password `test123`.
+Several user accounts are available to be used (`group1`, `group2`, ...), each with password `test123`.
 
 ## Setting up an instance
 
@@ -38,134 +37,41 @@ The server needs to authenticate with a [service accounts](https://developers.go
 
 More information about authentication can be found in the [Earth Engine documentation](https://developers.google.com/earth-engine/app_engine_intro).
 
-### Starting up the server
+#v## Starting up the server
 
-After configuration, the server can be started. Run  `npm run start` to start the server. 
+After configuration, the server can be started. Run `npm run start` to start the server. 
+
+After finishing work, you can stop the server by running `npm run stop`.
 
 ## Usage
 
 For both the demo servers or your own instance you can use the [openEO API](https://open-eo.github.io/openeo-api/apireference/index.html) to communicate with Google Earth Engine.
 
-An exemplary process graph to create an on-demand XYZ web-service looks like this: 
-
-```
-{
-  "load_collection": {
-    "arguments": {
-      "id": "COPERNICUS/S2",
-      "temporal_extent": ["2018-04-30", "2018-06-26"],
-      "spatial_extent": {
-        "west": -2.763447,
-        "south": 43.040791,
-        "east": -1.120991,
-        "north": 43.838489
-      },
-      "bands": ["B8", "B4"]
-    },
-    "process_id": "load_collection"
-  },
-  "b1": {
-    "arguments": {
-      "data": {"from_node": "load_collection"},
-      "bands": ["B8"]
-    },
-    "process_id": "filter_bands"
-  },
-  "b2": {
-    "arguments": {
-      "data": {"from_node": "load_collection"},
-      "bands": ["B4"]
-    },
-    "process_id": "filter_bands"
-  },
-  "normalized_difference": {
-    "arguments": {
-      "band1": {"from_node": "b1"},
-      "band2": {"from_node": "b2"}
-    },
-    "process_id": "normalized_difference"
-  },
-  "reduce": {
-    "arguments": {
-      "data": {"from_node": "normalized_difference"},
-      "dimension": "t",
-      "reducer": {
-        "process_graph": {
-          "max": {
-            "arguments": {
-              "data": {"from_parameter": "data"}
-            },
-            "process_id": "max",
-            "result": true
-          }
-        }
-      }
-    },
-    "process_id": "reduce"
-  },
-  "linear_scaling": {
-    "arguments": {
-      "data": {"from_node": "reduce"},
-      "process": {
-        "process_graph": {
-          "lsr": {
-            "arguments": {
-              "x": {"from_parameter": "x"},
-              "inputMin": -1,
-              "inputMax": 1,
-              "outputMin": 0,
-              "outputMax": 255
-            },
-            "process_id": "linear_scale_range",
-            "result": true
-          }
-        }
-      }
-    },
-    "process_id": "apply"
-  },
-  "save_result": {
-    "arguments": {
-      "data": {"from_node": "linear_scaling"},
-      "format": "png"
-    },
-    "process_id": "save_result",
-    "result": true
-  }
-}
-```
+An exemplary process to create an on-demand XYZ web-service looks like this: [sample-processgraph.json](tests/data/sample-processgraph.json)
 
 This translates into the following [Google Earth Engine Playground](https://code.earthengine.google.com/) script:
 
 ```
 // load_collection
-var img = ee.ImageCollection("COPERNICUS/S2");
-img = img.filterDate("2018-04-30", "2018-06-26");
-var geom = ee.Geometry.Rectangle([-2.763447,43.040791,-1.120991,43.838489], "EPSG:4326");
-img = img.filterBounds(geom);
+var col = ee.ImageCollection("COPERNICUS/S2");
+col = col.filterDate("2018-01-01", "2018-01-31");
 
 // filter_bands (2x)
-var band1 = img.select(["B8"]);
-var band2 = img.select(["B4"]);
-
-// normalized_difference
-var combined = band1.combine(band2);
-img = combined.map(function(image) {
-	var normalizedDifference = image.normalizedDifference().rename("normalized_difference");
-	return image.addBands(normalizedDifference).select("normalized_difference");
-});
+col = col.select(["B4", "B8"]);
 
-// reduce with callback max
-img = img.reduce('max');
+// reduce over bands with callback normalized_difference
+col = col.map(function(image) {
+  var red = image.select("B4");
+  var nir = image.select("B8");
+	return nir.subtract(red).divide(nir.add(red));
+});
 
-// apply linear scaling
-var numerator = img.subtract(-1);
-var ratio = numerator.divide(1 - -1);
-img = ratio.multiply(255 - 0).add(0);
+// reduce over time with callback max
+var img = col.reduce('max');
 
 // save_result
 // Either download data with img.getDownloadURL() or show it in in the playground with:
 Map.addLayer(img);
 ```
 
-**[Further documentation](docs/README.md) can be found in the [docs/](docs/) directory, but is currently work in progress.**
+**[Further documentation](docs/README.md) and more examples can be found in the [docs/](docs/) directory, but it is work in progress.**
diff --git a/docs/era5-monthly-anomalies.json b/docs/era5-monthly-anomalies.json
index ab36a5c..52cf0e0 100644
--- a/docs/era5-monthly-anomalies.json
+++ b/docs/era5-monthly-anomalies.json
@@ -1,105 +1,107 @@
 {
-	"load": {
-		"process_id": "load_collection",
-		"description": "Load ERA5 monthly 2m air temperature from 1979 to 2019",
-		"arguments": {
-			"id": "ECMWF/ERA5/MONTHLY",
-			"spatial_extent": null,
-			"temporal_extent": ["1979-01-01","2020-01-01"],
-			"bands": ["mean_2m_air_temperature"]
-		}
-	},
-	"convert": {
-		"process_id": "apply",
-		"description": "Convert temperature from K to degree celsius",
-		"arguments": {
-			"data": {"from_node": "load"},
-			"process": {
-				"process_graph": {
-					"k_to_degC": {
-						"process_id": "subtract",
-						"arguments": {
-							"x": {"from_parameter": "x"},
-							"y": 273.15
-						},
-						"result": true
+	"process_graph": {
+		"load": {
+			"process_id": "load_collection",
+			"description": "Load ERA5 monthly 2m air temperature from 1979 to 2019",
+			"arguments": {
+				"id": "ECMWF/ERA5/MONTHLY",
+				"spatial_extent": null,
+				"temporal_extent": ["1979-01-01","2020-01-01"],
+				"bands": ["mean_2m_air_temperature"]
+			}
+		},
+		"convert": {
+			"process_id": "apply",
+			"description": "Convert temperature from K to degree celsius",
+			"arguments": {
+				"data": {"from_node": "load"},
+				"process": {
+					"process_graph": {
+						"k_to_degC": {
+							"process_id": "subtract",
+							"arguments": {
+								"x": {"from_parameter": "x"},
+								"y": 273.15
+							},
+							"result": true
+						}
 					}
 				}
 			}
-		}
-	},
-	"normals": {
-		"process_id": "climatological_normal",
-		"description": "Create the climatological period normals.",
-		"arguments": {
-			"data": {"from_node": "convert"},
-			"period": "monthly"
-		}
-	},
-	"anomaly": {
-		"process_id": "anomaly",
-		"description": "For each month in the time-series, calculate the anomaly",
-		"arguments": {
-			"data": {"from_node": "convert"},
-			"normals": {"from_node": "normals"},
-			"period": "monthly"
-		}
-	},
-	"reduce": {
-		"process_id": "reduce_dimension",
-		"description": "Reduce to first month - for visualization purposes only",
-		"arguments": {
-			"data": {"from_node": "anomaly"},
-			"reducer": {
-				"process_graph": {
-					"first": {
-						"process_id": "first",
-						"arguments": {
-							"data": {
-								"from_parameter": "data"
-							}
-						},
-						"result": true
+		},
+		"normals": {
+			"process_id": "climatological_normal",
+			"description": "Create the climatological period normals.",
+			"arguments": {
+				"data": {"from_node": "convert"},
+				"period": "monthly"
+			}
+		},
+		"anomaly": {
+			"process_id": "anomaly",
+			"description": "For each month in the time-series, calculate the anomaly",
+			"arguments": {
+				"data": {"from_node": "convert"},
+				"normals": {"from_node": "normals"},
+				"period": "monthly"
+			}
+		},
+		"reduce": {
+			"process_id": "reduce_dimension",
+			"description": "Reduce to first month - for visualization purposes only",
+			"arguments": {
+				"data": {"from_node": "anomaly"},
+				"reducer": {
+					"process_graph": {
+						"first": {
+							"process_id": "first",
+							"arguments": {
+								"data": {
+									"from_parameter": "data"
+								}
+							},
+							"result": true
+						}
 					}
-				}
-			},
-			"dimension": "t"
-		}
-	},
-	"stretch": {
-		"process_id": "apply",
-		"description": "Stretch range from -1 / 1 to 0 / 255 for PNG visualization.",
-		"arguments": {
-			"data": {"from_node": "reduce"},
-			"process": {
-				"process_graph": {
-					"linear_scale_range": {
-						"process_id": "linear_scale_range",
-						"arguments": {
-							"x": {
-								"from_parameter": "x"
+				},
+				"dimension": "t"
+			}
+		},
+		"stretch": {
+			"process_id": "apply",
+			"description": "Stretch range from -1 / 1 to 0 / 255 for PNG visualization.",
+			"arguments": {
+				"data": {"from_node": "reduce"},
+				"process": {
+					"process_graph": {
+						"linear_scale_range": {
+							"process_id": "linear_scale_range",
+							"arguments": {
+								"x": {
+									"from_parameter": "x"
+								},
+								"inputMin": -10,
+								"inputMax": 10,
+								"outputMax": 255
 							},
-							"inputMin": -10,
-							"inputMax": 10,
-							"outputMax": 255
-						},
-						"result": true
+							"result": true
+						}
 					}
 				}
 			}
-		}
-	},
-	"save": {
-		"process_id": "save_result",
-		"arguments": {
-			"data": {
-				"from_node": "stretch"
-			},
-			"format": "PNG",
-			"options": {
-				"palette": ["#2166AC","#4393C3","#92C5DE","#D1E5F0","#F7F7F7","#FDDBC7","#F4A582","#D6604D","#B2182B"]
-			}
 		},
-		"result": true
+		"save": {
+			"process_id": "save_result",
+			"arguments": {
+				"data": {
+					"from_node": "stretch"
+				},
+				"format": "PNG",
+				"options": {
+					"palette": ["#2166AC","#4393C3","#92C5DE","#D1E5F0","#F7F7F7","#FDDBC7","#F4A582","#D6604D","#B2182B"]
+				}
+			},
+			"result": true
+		}
 	}
 }
\ No newline at end of file
diff --git a/docs/l8-rgb-median-with-clouds-australia.json b/docs/l8-rgb-median-with-clouds-australia.json
index 8d0f756..75ad8f6 100644
--- a/docs/l8-rgb-median-with-clouds-australia.json
+++ b/docs/l8-rgb-median-with-clouds-australia.json
@@ -1,85 +1,87 @@
 {
-  "4": {
-    "process_id": "load_collection",
-    "arguments": {
-      "id": "LANDSAT/LC08/C01/T1_SR",
-      "spatial_extent": {
-        "west": 110.654296875,
-        "south": -45.58328975600631,
-        "east": 155.47851562499994,
-        "north": -6.31529853833004
-      },
-      "temporal_extent": [
-        "2016-01-01T00:00:00Z",
-        "2016-12-31T23:59:59Z"
-      ],
-      "bands": [
-        "B4",
-        "B3",
-        "B2"
-      ]
-    }
-  },
-  "5": {
-    "process_id": "save_result",
-    "arguments": {
-      "data": {
-        "from_node": "7"
-      },
-      "format": "PNG",
-      "options": {
-        "red": "B4",
-        "green": "B3",
-        "blue": "B2",
-        "gray": null
+	"process_graph": {
+    "4": {
+      "process_id": "load_collection",
+      "arguments": {
+        "id": "LANDSAT/LC08/C01/T1_SR",
+        "spatial_extent": {
+          "west": 110.654296875,
+          "south": -45.58328975600631,
+          "east": 155.47851562499994,
+          "north": -6.31529853833004
+        },
+        "temporal_extent": [
+          "2016-01-01T00:00:00Z",
+          "2016-12-31T23:59:59Z"
+        ],
+        "bands": [
+          "B4",
+          "B3",
+          "B2"
+        ]
       }
     },
-    "result": true
-  },
-  "6": {
-    "process_id": "reduce_dimension",
-    "arguments": {
-      "data": {
-        "from_node": "4"
-      },
-      "reducer": {
-        "process_graph": {
-          "2": {
-            "process_id": "median",
-            "arguments": {
-              "data": {
-                "from_parameter": "data"
-              }
-            },
-            "result": true
-          }
+    "5": {
+      "process_id": "save_result",
+      "arguments": {
+        "data": {
+          "from_node": "7"
+        },
+        "format": "PNG",
+        "options": {
+          "red": "B4",
+          "green": "B3",
+          "blue": "B2",
+          "gray": null
         }
       },
-      "dimension": "t"
-    }
-  },
-  "7": {
-    "process_id": "apply",
-    "arguments": {
-      "data": {
-        "from_node": "6"
-      },
-      "process": {
-        "process_graph": {
-          "2": {
-            "process_id": "linear_scale_range",
-            "arguments": {
-              "x": {
-                "from_parameter": "x"
+      "result": true
+    },
+    "6": {
+      "process_id": "reduce_dimension",
+      "arguments": {
+        "data": {
+          "from_node": "4"
+        },
+        "reducer": {
+          "process_graph": {
+            "2": {
+              "process_id": "median",
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                }
+              },
+              "result": true
+            }
+          }
+        },
+        "dimension": "t"
+      }
+    },
+    "7": {
+      "process_id": "apply",
+      "arguments": {
+        "data": {
+          "from_node": "6"
+        },
+        "process": {
+          "process_graph": {
+            "2": {
+              "process_id": "linear_scale_range",
+              "arguments": {
+                "x": {
+                  "from_parameter": "x"
+                },
+                "inputMin": 0,
+                "inputMax": 3000,
+                "outputMax": 255
               },
-              "inputMin": 0,
-              "inputMax": 3000,
-              "outputMax": 255
-            },
-            "result": true
+              "result": true
+            }
           }
         }
       }
     }
   }
-}
+}
\ No newline at end of file
diff --git a/docs/naip-rgb-usa.json b/docs/naip-rgb-usa.json
index c794d75..bb64cf2 100644
--- a/docs/naip-rgb-usa.json
+++ b/docs/naip-rgb-usa.json
@@ -1,35 +1,37 @@
 {
-  "1": {
-    "process_id": "load_collection",
-    "arguments": {
-      "id": "USDA/NAIP/DOQQ",
-      "spatial_extent": {
-        "west": -125.37597656250003,
-        "south": 24.206889622398023,
-        "east": -66.75292968750001,
-        "north": 49.38237278700956
-      },
-      "temporal_extent": [
-        "2017-01-01T00:00:00Z",
-        "2017-12-31T23:59:59Z"
-      ],
-      "bands": null
-    }
-  },
-  "2": {
-    "process_id": "save_result",
-    "arguments": {
-      "data": {
-        "from_node": "1"
-      },
-      "format": "PNG",
-      "options": {
-        "red": "R",
-        "green": "G",
-        "blue": "B",
-        "gray": null
+	"process_graph": {
+    "1": {
+      "process_id": "load_collection",
+      "arguments": {
+        "id": "USDA/NAIP/DOQQ",
+        "spatial_extent": {
+          "west": -125.37597656250003,
+          "south": 24.206889622398023,
+          "east": -66.75292968750001,
+          "north": 49.38237278700956
+        },
+        "temporal_extent": [
+          "2017-01-01T00:00:00Z",
+          "2017-12-31T23:59:59Z"
+        ],
+        "bands": null
       }
     },
-    "result": true
+    "2": {
+      "process_id": "save_result",
+      "arguments": {
+        "data": {
+          "from_node": "1"
+        },
+        "format": "PNG",
+        "options": {
+          "red": "R",
+          "green": "G",
+          "blue": "B",
+          "gray": null
+        }
+      },
+      "result": true
+    }
   }
-}
+}
\ No newline at end of file
diff --git a/docs/s1-uc1-polarization.json b/docs/s1-uc1-polarization.json
index 80203d1..8c28a89 100644
--- a/docs/s1-uc1-polarization.json
+++ b/docs/s1-uc1-polarization.json
@@ -1,243 +1,245 @@
 {
-  "load_collection": {
-    "arguments": {
-      "id": "COPERNICUS/S1_GRD",
-      "spatial_extent": {
-        "west": 16.06,
-        "south": 48.06,
-        "east": 16.65,
-        "north": 48.35
+	"process_graph": {
+    "load_collection": {
+      "arguments": {
+        "id": "COPERNICUS/S1_GRD",
+        "spatial_extent": {
+          "west": 16.06,
+          "south": 48.06,
+          "east": 16.65,
+          "north": 48.35
+        },
+        "bands" :  ["VV", "VH"],
+        "temporal_extent": ["2017-03-01", "2017-04-01"]
       },
-      "bands" :  ["VV", "VH"],
-      "temporal_extent": ["2017-03-01", "2017-04-01"]
+      "process_id": "load_collection"
     },
-    "process_id": "load_collection"
-  },
-  "mean": {
-    "arguments": {
-      "data": {
-        "from_node": "load_collection"
-      },
-      "dimension": "t",
-      "reducer": {
-        "process_graph": {
-          "mean": {
-            "arguments": {
-              "data": {
-                "from_parameter": "data"
-              }
-            },
-            "process_id": "mean",
-            "result": true
+    "mean": {
+      "arguments": {
+        "data": {
+          "from_node": "load_collection"
+        },
+        "dimension": "t",
+        "reducer": {
+          "process_graph": {
+            "mean": {
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                }
+              },
+              "process_id": "mean",
+              "result": true
+            }
           }
         }
-      }
-    },
-    "process_id": "reduce_dimension"
-  },
-  "cr": {
-    "arguments": {
-      "data": {
-        "from_node": "mean"
       },
-      "dimension": "bands",
-      "reducer": {
-        "process_graph": {
-          "VV": {
-            "arguments": {
-              "data": {
-                "from_parameter": "data"
+      "process_id": "reduce_dimension"
+    },
+    "cr": {
+      "arguments": {
+        "data": {
+          "from_node": "mean"
+        },
+        "dimension": "bands",
+        "reducer": {
+          "process_graph": {
+            "VV": {
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                },
+                "label": "VV"
               },
-              "label": "VV"
+              "process_id": "array_element"
             },
-            "process_id": "array_element"
-          },
-          "VH": {
-            "arguments": {
-              "data": {
-                "from_parameter": "data"
+            "VH": {
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                },
+                "label": "VH"
               },
-              "label": "VH"
+              "process_id": "array_element"
             },
-            "process_id": "array_element"
-          },
-          "cr": {
-            "arguments": {
-              "x": {"from_node": "VH"},
-              "y": {"from_node": "VV"}
-            },
-            "process_id": "subtract",
-            "result": true
+            "cr": {
+              "arguments": {
+                "x": {"from_node": "VH"},
+                "y": {"from_node": "VV"}
+              },
+              "process_id": "subtract",
+              "result": true
+            }
           }
         }
-      }
-    },
-    "process_id": "reduce_dimension"
-  },
-  "add_dim_cr": {
-    "arguments": {
-      "data": {
-        "from_node": "cr"
       },
-      "name": "bands",
-      "type": "bands"
+      "process_id": "reduce_dimension"
     },
-    "process_id": "add_dimension"
-  },
-  "rename_label_cr": {
-    "arguments": {
-      "data": {
-        "from_node": "add_dim_cr"
+    "add_dim_cr": {
+      "arguments": {
+        "data": {
+          "from_node": "cr"
+        },
+        "name": "bands",
+        "type": "bands"
       },
-      "dimension": "bands",
-      "target": ["B"]
+      "process_id": "add_dimension"
     },
-    "process_id": "rename_labels"
-  },
-  "VV": {
-    "arguments": {
-      "data": {
-        "from_node": "mean"
+    "rename_label_cr": {
+      "arguments": {
+        "data": {
+          "from_node": "add_dim_cr"
+        },
+        "dimension": "bands",
+        "target": ["B"]
       },
-      "bands": ["VV"]
+      "process_id": "rename_labels"
     },
-    "process_id": "filter_bands"
-  },
-  "rename_label_VV": {
-    "arguments": {
-      "data": {
-        "from_node": "VV"
+    "VV": {
+      "arguments": {
+        "data": {
+          "from_node": "mean"
+        },
+        "bands": ["VV"]
       },
-      "dimension": "bands",
-      "target": ["R"]
+      "process_id": "filter_bands"
     },
-    "process_id": "rename_labels"
-  },
-  "VH": {
-    "arguments": {
-      "data": {
-        "from_node": "mean"
+    "rename_label_VV": {
+      "arguments": {
+        "data": {
+          "from_node": "VV"
+        },
+        "dimension": "bands",
+        "target": ["R"]
       },
-      "bands": ["VH"]
+      "process_id": "rename_labels"
     },
-    "process_id": "filter_bands"
-  },
-  "rename_label_VH": {
-    "arguments": {
-      "data": {
-        "from_node": "VH"
+    "VH": {
+      "arguments": {
+        "data": {
+          "from_node": "mean"
+        },
+        "bands": ["VH"]
       },
-      "dimension": "bands",
-      "target": ["G"]
+      "process_id": "filter_bands"
     },
-    "process_id": "rename_labels"
-  },
-  "R_band": {
-    "arguments": {
-      "data": {
-        "from_node": "rename_label_VV"
+    "rename_label_VH": {
+      "arguments": {
+        "data": {
+          "from_node": "VH"
+        },
+        "dimension": "bands",
+        "target": ["G"]
       },
-      "process": {
-        "process_graph": {
-          "linear_scale_range": {
-            "arguments": {
-              "x": {
-                "from_parameter": "x"
+      "process_id": "rename_labels"
+    },
+    "R_band": {
+      "arguments": {
+        "data": {
+          "from_node": "rename_label_VV"
+        },
+        "process": {
+          "process_graph": {
+            "linear_scale_range": {
+              "arguments": {
+                "x": {
+                  "from_parameter": "x"
+                },
+                "inputMin": -20,
+                "inputMax": -5,
+                "outputMin": 0,
+                "outputMax": 255
               },
-              "inputMin": -20,
-              "inputMax": -5,
-              "outputMin": 0,
-              "outputMax": 255
-            },
-            "process_id": "linear_scale_range",
-            "result": true
+              "process_id": "linear_scale_range",
+              "result": true
+            }
           }
         }
-      }
-    },
-    "process_id": "apply"
-  },
-  "G_band": {
-    "arguments": {
-      "data": {
-        "from_node": "rename_label_VH"
       },
-      "process": {
-        "process_graph": {
-          "linear_scale_range": {
-            "arguments": {
-              "x": {
-                "from_parameter": "x"
+      "process_id": "apply"
+    },
+    "G_band": {
+      "arguments": {
+        "data": {
+          "from_node": "rename_label_VH"
+        },
+        "process": {
+          "process_graph": {
+            "linear_scale_range": {
+              "arguments": {
+                "x": {
+                  "from_parameter": "x"
+                },
+                "inputMin": -26,
+                "inputMax": -11,
+                "outputMin": 0,
+                "outputMax": 255
               },
-              "inputMin": -26,
-              "inputMax": -11,
-              "outputMin": 0,
-              "outputMax": 255
-            },
-            "process_id": "linear_scale_range",
-            "result": true
+              "process_id": "linear_scale_range",
+              "result": true
+            }
           }
         }
-      }
-    },
-    "process_id": "apply"
-  },
-  "B_band": {
-    "arguments": {
-      "data": {
-        "from_node": "rename_label_cr"
       },
-      "process": {
-        "process_graph": {
-          "linear_scale_range": {
-            "arguments": {
-              "x": {
-                "from_parameter": "x"
+      "process_id": "apply"
+    },
+    "B_band": {
+      "arguments": {
+        "data": {
+          "from_node": "rename_label_cr"
+        },
+        "process": {
+          "process_graph": {
+            "linear_scale_range": {
+              "arguments": {
+                "x": {
+                  "from_parameter": "x"
+                },
+                "inputMin": -5,
+                "inputMax": 0,
+                "outputMin": 0,
+                "outputMax": 255
               },
-              "inputMin": -5,
-              "inputMax": 0,
-              "outputMin": 0,
-              "outputMax": 255
-            },
-            "process_id": "linear_scale_range",
-            "result": true
+              "process_id": "linear_scale_range",
+              "result": true
+            }
           }
         }
-      }
-    },
-    "process_id": "apply"
-  },
-  "RG": {
-    "arguments": {
-      "cube1": {
-        "from_node": "R_band"
       },
-      "cube2": {
-        "from_node": "G_band"
-      }
+      "process_id": "apply"
     },
-    "process_id": "merge_cubes"
-  },
-  "RGB": {
-    "arguments": {
-      "cube1": {
-        "from_node": "RG"
+    "RG": {
+      "arguments": {
+        "cube1": {
+          "from_node": "R_band"
+        },
+        "cube2": {
+          "from_node": "G_band"
+        }
       },
-      "cube2": {
-        "from_node": "B_band"
-      }
+      "process_id": "merge_cubes"
     },
-    "process_id": "merge_cubes"
-  },
-  "save_result": {
-    "arguments": {
-      "data": {
-        "from_node": "RGB"
+    "RGB": {
+      "arguments": {
+        "cube1": {
+          "from_node": "RG"
+        },
+        "cube2": {
+          "from_node": "B_band"
+        }
       },
-      "format": "png",
-      "options": {"red":  "R", "green": "G", "blue": "B"}
+      "process_id": "merge_cubes"
     },
-    "process_id": "save_result",
-    "result": true
+    "save_result": {
+      "arguments": {
+        "data": {
+          "from_node": "RGB"
+        },
+        "format": "png",
+        "options": {"red":  "R", "green": "G", "blue": "B"}
+      },
+      "process_id": "save_result",
+      "result": true
+    }
   }
 }
\ No newline at end of file
diff --git a/docs/s1-uc1-temporal.json b/docs/s1-uc1-temporal.json
index 1f55efd..cd05a1f 100644
--- a/docs/s1-uc1-temporal.json
+++ b/docs/s1-uc1-temporal.json
@@ -1,223 +1,225 @@
 {
-  "march":{
-    "arguments":{
-      "id":"COPERNICUS/S1_GRD",
-      "spatial_extent":{
-        "west":16.06,
-        "south":48.06,
-        "east":16.65,
-        "north":48.35
+	"process_graph": {
+    "march":{
+      "arguments":{
+        "id":"COPERNICUS/S1_GRD",
+        "spatial_extent":{
+          "west":16.06,
+          "south":48.06,
+          "east":16.65,
+          "north":48.35
+        },
+        "bands":[
+          "VV"
+        ],
+        "temporal_extent":[
+          "2017-03-01",
+          "2017-04-01"
+        ]
       },
-      "bands":[
-        "VV"
-      ],
-      "temporal_extent":[
-        "2017-03-01",
-        "2017-04-01"
-      ]
+      "process_id":"load_collection"
     },
-    "process_id":"load_collection"
-  },
-  "april":{
-    "arguments":{
-      "id":"COPERNICUS/S1_GRD",
-      "spatial_extent":{
-        "west":16.06,
-        "south":48.06,
-        "east":16.65,
-        "north":48.35
+    "april":{
+      "arguments":{
+        "id":"COPERNICUS/S1_GRD",
+        "spatial_extent":{
+          "west":16.06,
+          "south":48.06,
+          "east":16.65,
+          "north":48.35
+        },
+        "bands":[
+          "VV"
+        ],
+        "temporal_extent":[
+          "2017-04-01",
+          "2017-05-01"
+        ]
       },
-      "bands":[
-        "VV"
-      ],
-      "temporal_extent":[
-        "2017-04-01",
-        "2017-05-01"
-      ]
+      "process_id":"load_collection"
     },
-    "process_id":"load_collection"
-  },
-  "may":{
-    "arguments":{
-      "id":"COPERNICUS/S1_GRD",
-      "spatial_extent":{
-        "west":16.06,
-        "south":48.06,
-        "east":16.65,
-        "north":48.35
+    "may":{
+      "arguments":{
+        "id":"COPERNICUS/S1_GRD",
+        "spatial_extent":{
+          "west":16.06,
+          "south":48.06,
+          "east":16.65,
+          "north":48.35
+        },
+        "bands":[
+          "VV"
+        ],
+        "temporal_extent":[
+          "2017-05-01",
+          "2017-06-01"
+        ]
       },
-      "bands":[
-        "VV"
-      ],
-      "temporal_extent":[
-        "2017-05-01",
-        "2017-06-01"
-      ]
+      "process_id":"load_collection"
     },
-    "process_id":"load_collection"
-  },
-  "mean_march":{
-    "arguments":{
-      "data":{
-        "from_node":"march"
-      },
-      "dimension":"t",
-      "reducer":{
-        "process_graph":{
-          "mean":{
-            "arguments":{
-              "data":{
-                "from_parameter":"data"
-              }
-            },
-            "process_id":"mean",
-            "result":true
+    "mean_march":{
+      "arguments":{
+        "data":{
+          "from_node":"march"
+        },
+        "dimension":"t",
+        "reducer":{
+          "process_graph":{
+            "mean":{
+              "arguments":{
+                "data":{
+                  "from_parameter":"data"
+                }
+              },
+              "process_id":"mean",
+              "result":true
+            }
           }
         }
-      }
-    },
-    "process_id":"reduce_dimension"
-  },
-  "mean_april":{
-    "arguments":{
-      "data":{
-        "from_node":"april"
       },
-      "dimension":"t",
-      "reducer":{
-        "process_graph":{
-          "mean":{
-            "arguments":{
-              "data":{
-                "from_parameter":"data"
-              }
-            },
-            "process_id":"mean",
-            "result":true
+      "process_id":"reduce_dimension"
+    },
+    "mean_april":{
+      "arguments":{
+        "data":{
+          "from_node":"april"
+        },
+        "dimension":"t",
+        "reducer":{
+          "process_graph":{
+            "mean":{
+              "arguments":{
+                "data":{
+                  "from_parameter":"data"
+                }
+              },
+              "process_id":"mean",
+              "result":true
+            }
           }
         }
-      }
-    },
-    "process_id":"reduce_dimension"
-  },
-  "mean_may":{
-    "arguments":{
-      "data":{
-        "from_node":"may"
       },
-      "dimension":"t",
-      "reducer":{
-        "process_graph":{
-          "mean":{
-            "arguments":{
-              "data":{
-                "from_parameter":"data"
-              }
-            },
-            "process_id":"mean",
-            "result":true
+      "process_id":"reduce_dimension"
+    },
+    "mean_may":{
+      "arguments":{
+        "data":{
+          "from_node":"may"
+        },
+        "dimension":"t",
+        "reducer":{
+          "process_graph":{
+            "mean":{
+              "arguments":{
+                "data":{
+                  "from_parameter":"data"
+                }
+              },
+              "process_id":"mean",
+              "result":true
+            }
           }
         }
-      }
-    },
-    "process_id":"reduce_dimension"
-  },
-  "R_band":{
-    "arguments":{
-      "data":{
-        "from_node":"mean_march"
       },
-      "dimension":"bands",
-      "target":[
-        "R"
-      ]
+      "process_id":"reduce_dimension"
     },
-    "process_id":"rename_labels"
-  },
-  "G_band":{
-    "arguments":{
-      "data":{
-        "from_node":"mean_april"
+    "R_band":{
+      "arguments":{
+        "data":{
+          "from_node":"mean_march"
+        },
+        "dimension":"bands",
+        "target":[
+          "R"
+        ]
       },
-      "dimension":"bands",
-      "target":[
-        "G"
-      ]
+      "process_id":"rename_labels"
     },
-    "process_id":"rename_labels"
-  },
-  "B_band":{
-    "arguments":{
-      "data":{
-        "from_node":"mean_may"
+    "G_band":{
+      "arguments":{
+        "data":{
+          "from_node":"mean_april"
+        },
+        "dimension":"bands",
+        "target":[
+          "G"
+        ]
       },
-      "dimension":"bands",
-      "target":[
-        "B"
-      ]
+      "process_id":"rename_labels"
     },
-    "process_id":"rename_labels"
-  },
-  "RG":{
-    "arguments":{
-      "cube1":{
-        "from_node":"R_band"
+    "B_band":{
+      "arguments":{
+        "data":{
+          "from_node":"mean_may"
+        },
+        "dimension":"bands",
+        "target":[
+          "B"
+        ]
       },
-      "cube2":{
-        "from_node":"G_band"
-      }
+      "process_id":"rename_labels"
     },
-    "process_id":"merge_cubes"
-  },
-  "RGB":{
-    "arguments":{
-      "cube1":{
-        "from_node":"RG"
+    "RG":{
+      "arguments":{
+        "cube1":{
+          "from_node":"R_band"
+        },
+        "cube2":{
+          "from_node":"G_band"
+        }
       },
-      "cube2":{
-        "from_node":"B_band"
-      }
+      "process_id":"merge_cubes"
     },
-    "process_id":"merge_cubes"
-  },
-  "colour_stretching":{
-    "arguments":{
-      "data":{
-        "from_node":"RGB"
+    "RGB":{
+      "arguments":{
+        "cube1":{
+          "from_node":"RG"
+        },
+        "cube2":{
+          "from_node":"B_band"
+        }
       },
-      "process":{
-        "process_graph":{
-          "linear_scale_range":{
-            "arguments":{
-              "x":{
-                "from_parameter":"x"
+      "process_id":"merge_cubes"
+    },
+    "colour_stretching":{
+      "arguments":{
+        "data":{
+          "from_node":"RGB"
+        },
+        "process":{
+          "process_graph":{
+            "linear_scale_range":{
+              "arguments":{
+                "x":{
+                  "from_parameter":"x"
+                },
+                "inputMin":-20,
+                "inputMax":-5,
+                "outputMin":0,
+                "outputMax":255
               },
-              "inputMin":-20,
-              "inputMax":-5,
-              "outputMin":0,
-              "outputMax":255
-            },
-            "process_id":"linear_scale_range",
-            "result":true
+              "process_id":"linear_scale_range",
+              "result":true
+            }
           }
         }
-      }
-    },
-    "process_id":"apply"
-  },
-  "save_result":{
-    "arguments":{
-      "data":{
-        "from_node":"colour_stretching"
       },
-      "format":"png",
-      "options":{
-        "red":"R",
-        "green":"G",
-        "blue":"B"
-      }
+      "process_id":"apply"
     },
-    "process_id":"save_result",
-    "result":true
+    "save_result":{
+      "arguments":{
+        "data":{
+          "from_node":"colour_stretching"
+        },
+        "format":"png",
+        "options":{
+          "red":"R",
+          "green":"G",
+          "blue":"B"
+        }
+      },
+      "process_id":"save_result",
+      "result":true
+    }
   }
 }
\ No newline at end of file
diff --git a/docs/s2-evi.json b/docs/s2-evi.json
index c4de90c..3d70c1b 100644
--- a/docs/s2-evi.json
+++ b/docs/s2-evi.json
@@ -1,196 +1,198 @@
 {
-  "1": {
-    "process_id": "apply",
-    "arguments": {
-      "data": {
-        "from_node": "mintime"
-      },
-      "process": {
-        "process_graph": {
-          "2": {
-            "process_id": "linear_scale_range",
-            "arguments": {
-              "x": {
-                "from_parameter": "x"
+	"process_graph": {
+    "1": {
+      "process_id": "apply",
+      "arguments": {
+        "data": {
+          "from_node": "mintime"
+        },
+        "process": {
+          "process_graph": {
+            "2": {
+              "process_id": "linear_scale_range",
+              "arguments": {
+                "x": {
+                  "from_parameter": "x"
+                },
+                "inputMin": -1,
+                "inputMax": 1,
+                "outputMax": 255
               },
-              "inputMin": -1,
-              "inputMax": 1,
-              "outputMax": 255
-            },
-            "result": true
+              "result": true
+            }
           }
         }
-      }
-    },
-    "description": "Stretch range from -1 / 1 to 0 / 255 for PNG visualization."
-  },
-  "dc": {
-    "process_id": "load_collection",
-    "arguments": {
-      "id": "COPERNICUS/S2",
-      "spatial_extent": {
-        "west": 16.06,
-        "south": 48.06,
-        "east": 16.65,
-        "north": 48.35
       },
-      "temporal_extent": [
-        "2018-01-01T00:00:00Z",
-        "2018-01-31T23:59:59Z"
-      ],
-      "bands": [
-        "B8",
-        "B4",
-        "B2"
-      ]
+      "description": "Stretch range from -1 / 1 to 0 / 255 for PNG visualization."
     },
-    "description": "Loading the data; The order of the specified bands is important for the following reduce operation."
-  },
-  "evi": {
-    "process_id": "reduce_dimension",
-    "arguments": {
-      "data": {
-        "from_node": "dc"
+    "dc": {
+      "process_id": "load_collection",
+      "arguments": {
+        "id": "COPERNICUS/S2",
+        "spatial_extent": {
+          "west": 16.06,
+          "south": 48.06,
+          "east": 16.65,
+          "north": 48.35
+        },
+        "temporal_extent": [
+          "2018-01-01T00:00:00Z",
+          "2018-01-31T23:59:59Z"
+        ],
+        "bands": [
+          "B8",
+          "B4",
+          "B2"
+        ]
       },
-      "reducer": {
-        "process_graph": {
-          "nir": {
-            "process_id": "array_element",
-            "arguments": {
-              "data": {
-                "from_parameter": "data"
-              },
-              "index": 0
-            }
-          },
-          "sub": {
-            "process_id": "subtract",
-            "arguments": {
-              "x": {
-                "from_node": "nir"
-              },
-              "y": {
-                "from_node": "red"
-              }
-            }
-          },
-          "div": {
-            "process_id": "divide",
-            "arguments": {
-              "x": {
-                "from_node": "sub"
-              },
-              "y": {
-                "from_node": "sum"
-              }
-            }
-          },
-          "p3": {
-            "process_id": "multiply",
-            "arguments": {
-              "x": 2.5,
-              "y": {
-                "from_node": "div"
+      "description": "Loading the data; The order of the specified bands is important for the following reduce operation."
+    },
+    "evi": {
+      "process_id": "reduce_dimension",
+      "arguments": {
+        "data": {
+          "from_node": "dc"
+        },
+        "reducer": {
+          "process_graph": {
+            "nir": {
+              "process_id": "array_element",
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                },
+                "index": 0
               }
             },
-            "result": true
-          },
-          "sum": {
-            "process_id": "sum",
-            "arguments": {
-              "data": [
-                1,
-                {
+            "sub": {
+              "process_id": "subtract",
+              "arguments": {
+                "x": {
                   "from_node": "nir"
                 },
-                {
-                  "from_node": "p1"
+                "y": {
+                  "from_node": "red"
+                }
+              }
+            },
+            "div": {
+              "process_id": "divide",
+              "arguments": {
+                "x": {
+                  "from_node": "sub"
                 },
-                {
-                  "from_node": "p2"
+                "y": {
+                  "from_node": "sum"
                 }
-              ]
-            }
-          },
-          "red": {
-            "process_id": "array_element",
-            "arguments": {
-              "data": {
-                "from_parameter": "data"
-              },
-              "index": 1
-            }
-          },
-          "p1": {
-            "process_id": "multiply",
-            "arguments": {
-              "x": 6,
-              "y": {
-                "from_node": "red"
               }
-            }
-          },
-          "blue": {
-            "process_id": "array_element",
-            "arguments": {
-              "data": {
-                "from_parameter": "data"
+            },
+            "p3": {
+              "process_id": "multiply",
+              "arguments": {
+                "x": 2.5,
+                "y": {
+                  "from_node": "div"
+                }
               },
-              "index": 2
-            }
-          },
-          "p2": {
-            "process_id": "multiply",
-            "arguments": {
-              "x": -7.5,
-              "y": {
-                "from_node": "blue"
+              "result": true
+            },
+            "sum": {
+              "process_id": "sum",
+              "arguments": {
+                "data": [
+                  1,
+                  {
+                    "from_node": "nir"
+                  },
+                  {
+                    "from_node": "p1"
+                  },
+                  {
+                    "from_node": "p2"
+                  }
+                ]
+              }
+            },
+            "red": {
+              "process_id": "array_element",
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                },
+                "index": 1
+              }
+            },
+            "p1": {
+              "process_id": "multiply",
+              "arguments": {
+                "x": 6,
+                "y": {
+                  "from_node": "red"
+                }
+              }
+            },
+            "blue": {
+              "process_id": "array_element",
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                },
+                "index": 2
+              }
+            },
+            "p2": {
+              "process_id": "multiply",
+              "arguments": {
+                "x": -7.5,
+                "y": {
+                  "from_node": "blue"
+                }
               }
             }
           }
-        }
+        },
+        "dimension": "bands"
       },
-      "dimension": "bands"
+      "description": "Compute the EVI. Formula: 2.5 * (NIR - RED) / (1 + NIR + 6*RED + -7.5*BLUE)"
     },
-    "description": "Compute the EVI. Formula: 2.5 * (NIR - RED) / (1 + NIR + 6*RED + -7.5*BLUE)"
-  },
-  "mintime": {
-    "process_id": "reduce_dimension",
-    "arguments": {
-      "data": {
-        "from_node": "evi"
-      },
-      "reducer": {
-        "process_graph": {
-          "min": {
-            "process_id": "min",
-            "arguments": {
-              "data": {
-                "from_parameter": "data"
-              }
-            },
-            "result": true
+    "mintime": {
+      "process_id": "reduce_dimension",
+      "arguments": {
+        "data": {
+          "from_node": "evi"
+        },
+        "reducer": {
+          "process_graph": {
+            "min": {
+              "process_id": "min",
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                }
+              },
+              "result": true
+            }
           }
-        }
+        },
+        "dimension": "t"
       },
-      "dimension": "t"
+      "description": "Compute a minimum time composite by reducing the temporal dimension"
     },
-    "description": "Compute a minimum time composite by reducing the temporal dimension"
-  },
-  "save": {
-    "process_id": "save_result",
-    "arguments": {
-      "data": {
-        "from_node": "1"
+    "save": {
+      "process_id": "save_result",
+      "arguments": {
+        "data": {
+          "from_node": "1"
+        },
+        "format": "PNG",
+        "options": {
+          "red": null,
+          "green": null,
+          "blue": null,
+          "gray": null
+        }
       },
-      "format": "PNG",
-      "options": {
-        "red": null,
-        "green": null,
-        "blue": null,
-        "gray": null
-      }
-    },
-    "result": true
+      "result": true
+    }
   }
 }
\ No newline at end of file
diff --git a/docs/s2-max-ndvi.json b/docs/s2-max-ndvi.json
index 1f6d594..714cb99 100644
--- a/docs/s2-max-ndvi.json
+++ b/docs/s2-max-ndvi.json
@@ -1,154 +1,156 @@
 {
-  "apply": {
-    "process_id": "apply",
-    "arguments": {
-      "data": {
-        "from_node": "reduce_time"
-      },
-      "process": {
-        "process_graph": {
-          "linear_scale_range": {
-            "process_id": "linear_scale_range",
-            "arguments": {
-              "x": {
-                "from_parameter": "x"
+	"process_graph": {
+    "apply": {
+      "process_id": "apply",
+      "arguments": {
+        "data": {
+          "from_node": "reduce_time"
+        },
+        "process": {
+          "process_graph": {
+            "linear_scale_range": {
+              "process_id": "linear_scale_range",
+              "arguments": {
+                "x": {
+                  "from_parameter": "x"
+                },
+                "inputMin": -1,
+                "inputMax": 1,
+                "outputMax": 255
               },
-              "inputMin": -1,
-              "inputMax": 1,
-              "outputMax": 255
-            },
-            "result": true
+              "result": true
+            }
           }
         }
-      }
+      },
+      "description": "Stretch range from -1 / 1 to 0 / 255 for PNG visualization."
     },
-    "description": "Stretch range from -1 / 1 to 0 / 255 for PNG visualization."
-  },
-  "load_collection": {
-    "process_id": "load_collection",
-    "arguments": {
-      "id": "COPERNICUS/S2",
-      "spatial_extent": {
-        "type": "Polygon",
-        "coordinates": [
-          [
-            [
-              7.246856689453125,
-              47.167543112150554
-            ],
-            [
-              7.218189239501953,
-              47.13520594493793
-            ],
-            [
-              7.23552703857422,
-              47.11570074493338
-            ],
+    "load_collection": {
+      "process_id": "load_collection",
+      "arguments": {
+        "id": "COPERNICUS/S2",
+        "spatial_extent": {
+          "type": "Polygon",
+          "coordinates": [
             [
-              7.2803306579589835,
-              47.11488300552253
-            ],
-            [
-              7.305736541748048,
-              47.14793302647546
-            ],
-            [
-              7.279300689697265,
-              47.16999386399103
-            ],
-            [
-              7.246856689453125,
-              47.167543112150554
+              [
+                7.246856689453125,
+                47.167543112150554
+              ],
+              [
+                7.218189239501953,
+                47.13520594493793
+              ],
+              [
+                7.23552703857422,
+                47.11570074493338
+              ],
+              [
+                7.2803306579589835,
+                47.11488300552253
+              ],
+              [
+                7.305736541748048,
+                47.14793302647546
+              ],
+              [
+                7.279300689697265,
+                47.16999386399103
+              ],
+              [
+                7.246856689453125,
+                47.167543112150554
+              ]
             ]
           ]
+        },
+        "temporal_extent": [
+          "2018-01-01T00:00:00Z",
+          "2018-01-31T23:59:59Z"
+        ],
+        "bands": [
+          "B4",
+          "B8"
         ]
       },
-      "temporal_extent": [
-        "2018-01-01T00:00:00Z",
-        "2018-01-31T23:59:59Z"
-      ],
-      "bands": [
-        "B4",
-        "B8"
-      ]
+      "description": "Loading the data; The order of the specified bands is important for the following reduce operation."
     },
-    "description": "Loading the data; The order of the specified bands is important for the following reduce operation."
-  },
-  "reduce_bands": {
-    "process_id": "reduce_dimension",
-    "arguments": {
-      "data": {
-        "from_node": "load_collection"
-      },
-      "reducer": {
-        "process_graph": {
-          "red": {
-            "process_id": "array_element",
-            "arguments": {
-              "data": {
-                "from_parameter": "data"
-              },
-              "label": "B4"
-            }
-          },
-          "nir": {
-            "process_id": "array_element",
-            "arguments": {
-              "data": {
-                "from_parameter": "data"
-              },
-              "label": "B8"
-            }
-          },
-          "ndvi": {
-            "process_id": "normalized_difference",
-            "arguments": {
-              "x": {
-                "from_node": "nir"
-              },
-              "y": {
-                "from_node": "red"
+    "reduce_bands": {
+      "process_id": "reduce_dimension",
+      "arguments": {
+        "data": {
+          "from_node": "load_collection"
+        },
+        "reducer": {
+          "process_graph": {
+            "red": {
+              "process_id": "array_element",
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                },
+                "label": "B4"
               }
             },
-            "result": true
-          }
-        }
-      },
-      "dimension": "bands"
-    },
-    "description": "Compute the NDVI: (NIR - RED) / (NIR + RED)"
-  },
-  "reduce_time": {
-    "process_id": "reduce_dimension",
-    "arguments": {
-      "data": {
-        "from_node": "reduce_bands"
-      },
-      "reducer": {
-        "process_graph": {
-          "max": {
-            "process_id": "max",
-            "arguments": {
-              "data": {
-                "from_parameter": "data"
+            "nir": {
+              "process_id": "array_element",
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                },
+                "label": "B8"
               }
             },
-            "result": true
+            "ndvi": {
+              "process_id": "normalized_difference",
+              "arguments": {
+                "x": {
+                  "from_node": "nir"
+                },
+                "y": {
+                  "from_node": "red"
+                }
+              },
+              "result": true
+            }
           }
-        }
+        },
+        "dimension": "bands"
       },
-      "dimension": "t"
+      "description": "Compute the NDVI: (NIR - RED) / (NIR + RED)"
     },
-    "description": "Compute a minimum time composite by reducing the temporal dimension"
-  },
-  "save": {
-    "process_id": "save_result",
-    "arguments": {
-      "data": {
-        "from_node": "apply"
+    "reduce_time": {
+      "process_id": "reduce_dimension",
+      "arguments": {
+        "data": {
+          "from_node": "reduce_bands"
+        },
+        "reducer": {
+          "process_graph": {
+            "max": {
+              "process_id": "max",
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                }
+              },
+              "result": true
+            }
+          }
+        },
+        "dimension": "t"
       },
-      "format": "PNG"
+      "description": "Compute a minimum time composite by reducing the temporal dimension"
     },
-    "result": true
+    "save": {
+      "process_id": "save_result",
+      "arguments": {
+        "data": {
+          "from_node": "apply"
+        },
+        "format": "PNG"
+      },
+      "result": true
+    }
   }
 }
\ No newline at end of file
diff --git a/docs/s5-ch4-methane-usa.json b/docs/s5-ch4-methane-usa.json
index b8cd444..b819346 100644
--- a/docs/s5-ch4-methane-usa.json
+++ b/docs/s5-ch4-methane-usa.json
@@ -1,80 +1,82 @@
 {
-  "4":{
-    "process_id":"reduce_dimension",
-    "arguments":{
-      "data":{
-        "from_node":"9"
-      },
-      "reducer":{
-        "process_graph":{
-          "3":{
-            "process_id":"mean",
-            "arguments":{
-              "data":{
-                "from_parameter":"data"
-              }
-            },
-            "result":true
+	"process_graph": {
+    "4":{
+      "process_id":"reduce_dimension",
+      "arguments":{
+        "data":{
+          "from_node":"9"
+        },
+        "reducer":{
+          "process_graph":{
+            "3":{
+              "process_id":"mean",
+              "arguments":{
+                "data":{
+                  "from_parameter":"data"
+                }
+              },
+              "result":true
+            }
           }
-        }
-      },
-      "dimension":"t"
-    }
-  },
-  "5":{
-    "process_id":"save_result",
-    "arguments":{
-      "data":{
-        "from_node":8
-      },
-      "format":"JPEG",
-      "options":{
-
+        },
+        "dimension":"t"
       }
     },
-    "result":true
-  },
-  "8":{
-    "process_id":"apply",
-    "arguments":{
-      "data":{
-        "from_node":4
+    "5":{
+      "process_id":"save_result",
+      "arguments":{
+        "data":{
+          "from_node":8
+        },
+        "format":"JPEG",
+        "options":{
+
+        }
       },
-      "process":{
-        "process_graph":{
-          "2":{
-            "process_id":"linear_scale_range",
-            "arguments":{
-              "x":{
-                "from_parameter":"x"
+      "result":true
+    },
+    "8":{
+      "process_id":"apply",
+      "arguments":{
+        "data":{
+          "from_node":4
+        },
+        "process":{
+          "process_graph":{
+            "2":{
+              "process_id":"linear_scale_range",
+              "arguments":{
+                "x":{
+                  "from_parameter":"x"
+                },
+                "inputMin":1900,
+                "inputMax":1750,
+                "outputMax":255
               },
-              "inputMin":1900,
-              "inputMax":1750,
-              "outputMax":255
-            },
-            "result":true
+              "result":true
+            }
           }
         }
       }
-    }
-  },
-  "9":{
-    "process_id":"load_collection",
-    "arguments":{
-      "id":"COPERNICUS/S5P/OFFL/L3_CH4",
-      "spatial_extent":{
-        "west":-125.37597656250003,
-        "south":24.206889622398023,
-        "east":-66.75292968750001,
-        "north":49.38237278700956
-      },
-      "temporal_extent":[
-        "2019-01-01T00:00:00Z",
-        "2019-03-31T23:59:59Z"
-      ],
-      "bands":[
-        "CH4_column_volume_mixing_ratio_dry_air"
-      ]
+    },
+    "9":{
+      "process_id":"load_collection",
+      "arguments":{
+        "id":"COPERNICUS/S5P/OFFL/L3_CH4",
+        "spatial_extent":{
+          "west":-125.37597656250003,
+          "south":24.206889622398023,
+          "east":-66.75292968750001,
+          "north":49.38237278700956
+        },
+        "temporal_extent":[
+          "2019-01-01T00:00:00Z",
+          "2019-03-31T23:59:59Z"
+        ],
+        "bands":[
+          "CH4_column_volume_mixing_ratio_dry_air"
+        ]
+      }
     }
   }
 }
\ No newline at end of file
diff --git a/docs/s5-co-usa.json b/docs/s5-co-usa.json
index de55de7..0a88946 100644
--- a/docs/s5-co-usa.json
+++ b/docs/s5-co-usa.json
@@ -1,75 +1,77 @@
 {
-  "4":{
-    "process_id":"reduce",
-    "arguments":{
-      "data":{
-        "from_node":"9"
-      },
-      "reducer":{
-        "process_graph":{
-          "3":{
-            "process_id":"mean",
-            "arguments":{
-              "data":{
-                "from_parameter":"data"
-              }
-            },
-            "result":true
+	"process_graph": {
+    "4":{
+      "process_id":"reduce",
+      "arguments":{
+        "data":{
+          "from_node":"9"
+        },
+        "reducer":{
+          "process_graph":{
+            "3":{
+              "process_id":"mean",
+              "arguments":{
+                "data":{
+                  "from_parameter":"data"
+                }
+              },
+              "result":true
+            }
           }
-        }
-      },
-      "dimension":"t"
-    }
-  },
-  "5":{
-    "process_id":"save_result",
-    "arguments":{
-      "data":{
-        "from_node":8
-      },
-      "format":"JPEG",
-      "options":{
-
+        },
+        "dimension":"t"
       }
     },
-    "result":true
-  },
-  "8":{
-    "process_id":"apply",
-    "arguments":{
-      "data":{
-        "from_node":4
+    "5":{
+      "process_id":"save_result",
+      "arguments":{
+        "data":{
+          "from_node":8
+        },
+        "format":"JPEG",
+        "options":{
+
+        }
       },
-      "process":{
-        "process_graph":{
-          "2":{
-            "process_id":"linear_scale_range",
-            "arguments":{
-              "x":{
-                "from_parameter":"x"
+      "result":true
+    },
+    "8":{
+      "process_id":"apply",
+      "arguments":{
+        "data":{
+          "from_node":4
+        },
+        "process":{
+          "process_graph":{
+            "2":{
+              "process_id":"linear_scale_range",
+              "arguments":{
+                "x":{
+                  "from_parameter":"x"
+                },
+                "inputMin":0,
+                "inputMax":0.05,
+                "outputMax":255
               },
-              "inputMin":0,
-              "inputMax":0.05,
-              "outputMax":255
-            },
-            "result":true
+              "result":true
+            }
           }
         }
       }
-    }
-  },
-  "9":{
-    "process_id":"load_collection",
-    "arguments":{
-      "id":"COPERNICUS/S5P/NRTI/L3_CO",
-      "spatial_extent":null,
-      "temporal_extent":[
-        "2018-12-15T00:00:00Z",
-        "2019-01-15T23:59:59Z"
-      ],
-      "bands":[
-        "CO_column_number_density"
-      ]
+    },
+    "9":{
+      "process_id":"load_collection",
+      "arguments":{
+        "id":"COPERNICUS/S5P/NRTI/L3_CO",
+        "spatial_extent":null,
+        "temporal_extent":[
+          "2018-12-15T00:00:00Z",
+          "2019-01-15T23:59:59Z"
+        ],
+        "bands":[
+          "CO_column_number_density"
+        ]
+      }
     }
   }
 }
\ No newline at end of file
diff --git a/docs/s5-no2-usa.json b/docs/s5-no2-usa.json
index ea864de..aca9119 100644
--- a/docs/s5-no2-usa.json
+++ b/docs/s5-no2-usa.json
@@ -1,80 +1,82 @@
 {
-  "4":{
-    "process_id":"reduce_dimension",
-    "arguments":{
-      "data":{
-        "from_node":"9"
-      },
-      "reducer":{
-        "process_graph":{
-          "3":{
-            "process_id":"mean",
-            "arguments":{
-              "data":{
-                "from_parameter":"data"
-              }
-            },
-            "result":true
+	"process_graph": {
+    "4":{
+      "process_id":"reduce_dimension",
+      "arguments":{
+        "data":{
+          "from_node":"9"
+        },
+        "reducer":{
+          "process_graph":{
+            "3":{
+              "process_id":"mean",
+              "arguments":{
+                "data":{
+                  "from_parameter":"data"
+                }
+              },
+              "result":true
+            }
           }
-        }
-      },
-      "dimension":"t"
-    }
-  },
-  "5":{
-    "process_id":"save_result",
-    "arguments":{
-      "data":{
-        "from_node":8
-      },
-      "format":"JPEG",
-      "options":{
-
+        },
+        "dimension":"t"
       }
     },
-    "result":true
-  },
-  "8":{
-    "process_id":"apply",
-    "arguments":{
-      "data":{
-        "from_node":4
+    "5":{
+      "process_id":"save_result",
+      "arguments":{
+        "data":{
+          "from_node":8
+        },
+        "format":"JPEG",
+        "options":{
+
+        }
       },
-      "process":{
-        "process_graph":{
-          "2":{
-            "process_id":"linear_scale_range",
-            "arguments":{
-              "x":{
-                "from_parameter":"x"
+      "result":true
+    },
+    "8":{
+      "process_id":"apply",
+      "arguments":{
+        "data":{
+          "from_node":4
+        },
+        "process":{
+          "process_graph":{
+            "2":{
+              "process_id":"linear_scale_range",
+              "arguments":{
+                "x":{
+                  "from_parameter":"x"
+                },
+                "inputMin":0,
+                "inputMax":0.0002,
+                "outputMax":255
               },
-              "inputMin":0,
-              "inputMax":0.0002,
-              "outputMax":255
-            },
-            "result":true
+              "result":true
+            }
           }
         }
       }
-    }
-  },
-  "9":{
-    "process_id":"load_collection",
-    "arguments":{
-      "id":"COPERNICUS/S5P/NRTI/L3_NO2",
-      "spatial_extent":{
-        "west":-125.37597656250003,
-        "south":24.206889622398023,
-        "east":-66.75292968750001,
-        "north":49.38237278700956
-      },
-      "temporal_extent":[
-        "2018-10-10T00:00:00Z",
-        "2018-10-13T23:59:59Z"
-      ],
-      "bands":[
-        "NO2_column_number_density"
-      ]
+    },
+    "9":{
+      "process_id":"load_collection",
+      "arguments":{
+        "id":"COPERNICUS/S5P/NRTI/L3_NO2",
+        "spatial_extent":{
+          "west":-125.37597656250003,
+          "south":24.206889622398023,
+          "east":-66.75292968750001,
+          "north":49.38237278700956
+        },
+        "temporal_extent":[
+          "2018-10-10T00:00:00Z",
+          "2018-10-13T23:59:59Z"
+        ],
+        "bands":[
+          "NO2_column_number_density"
+        ]
+      }
     }
   }
 }
\ No newline at end of file
diff --git a/docs/terraclimate-max-temperature.json b/docs/terraclimate-max-temperature.json
index c31c5a7..6e42637 100644
--- a/docs/terraclimate-max-temperature.json
+++ b/docs/terraclimate-max-temperature.json
@@ -1,51 +1,53 @@
 {
-  "1": {
-    "process_id": "load_collection",
-    "arguments": {
-      "id": "IDAHO_EPSCOR/TERRACLIMATE",
-      "spatial_extent": null,
-      "temporal_extent": [
-        "2017-07-01T00:00:00Z",
-        "2017-07-31T23:59:59Z"
-      ],
-      "bands": [
-        "tmmx"
-      ]
-    }
-  },
-  "2": {
-    "process_id": "save_result",
-    "arguments": {
-      "data": {
-        "from_node": "3"
-      },
-      "format": "PNG",
-      "options": {}
+	"process_graph": {
+    "1": {
+      "process_id": "load_collection",
+      "arguments": {
+        "id": "IDAHO_EPSCOR/TERRACLIMATE",
+        "spatial_extent": null,
+        "temporal_extent": [
+          "2017-07-01T00:00:00Z",
+          "2017-07-31T23:59:59Z"
+        ],
+        "bands": [
+          "tmmx"
+        ]
+      }
     },
-    "result": true
-  },
-  "3": {
-    "process_id": "apply",
-    "arguments": {
-      "data": {
-        "from_node": "1"
+    "2": {
+      "process_id": "save_result",
+      "arguments": {
+        "data": {
+          "from_node": "3"
+        },
+        "format": "PNG",
+        "options": {}
       },
-      "process": {
-        "process_graph": {
-          "2": {
-            "process_id": "linear_scale_range",
-            "arguments": {
-              "x": {
-                "from_parameter": "x"
+      "result": true
+    },
+    "3": {
+      "process_id": "apply",
+      "arguments": {
+        "data": {
+          "from_node": "1"
+        },
+        "process": {
+          "process_graph": {
+            "2": {
+              "process_id": "linear_scale_range",
+              "arguments": {
+                "x": {
+                  "from_parameter": "x"
+                },
+                "inputMin": -150,
+                "inputMax": 450,
+                "outputMax": 255
               },
-              "inputMin": -150,
-              "inputMax": 450,
-              "outputMax": 255
-            },
-            "result": true
+              "result": true
+            }
           }
         }
       }
     }
   }
-}
+}
\ No newline at end of file
diff --git a/package.json b/package.json
index 547ee45..de7bb0f 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@openeo/earthengine-driver",
-  "version": "1.0.0-alpha.1",
+  "version": "1.0.0-beta.1",
   "stac_version": "0.9.0",
   "description": "An openEO driver for Google Earth Engine.",
   "main": "server.js",
@@ -22,8 +22,8 @@
     "url": "https://github.com/Open-EO/openeo-earthengine-editor.git"
   },
   "devDependencies": {
-    "forever": "^2.0.0",
-    "jest": "^25.5.4",
+    "forever": "^3.0.0",
+    "jest": "^26.1.0",
     "jest-html-reporter": "^3.1.3",
     "nodemon": "^2.0.4"
   },
diff --git a/tests/data/sample-processgraph.json b/tests/data/sample-processgraph.json
index f144ed4..f759279 100644
--- a/tests/data/sample-processgraph.json
+++ b/tests/data/sample-processgraph.json
@@ -1,56 +1,97 @@
 {
-  "load_collection": {
-    "arguments": {
-      "id": "COPERNICUS/S2",
-      "temporal_extent": ["2018-04-30","2018-06-26"]
+  "process_graph": {
+    "load_collection": {
+      "process_id": "load_collection",
+      "arguments": {
+        "id": "COPERNICUS/S2",
+        "spatial_extent": null,
+        "temporal_extent": [
+          "2018-01-01",
+          "2018-01-31"
+        ],
+        "bands": [
+          "B4",
+          "B8"
+        ]
+      },
+      "description": "Loading the data; The order of the specified bands is important for the following reduce operation."
     },
-    "process_id": "load_collection"
-  },
-  "b1": {
-    "arguments": {
-      "data": {"from_node": "load_collection"},
-      "bands": ["B4"]
-    },
-    "process_id": "filter_bands"
-  },
-  "b2": {
-    "arguments": {
-      "data": {"from_node": "load_collection"},
-      "bands": ["B8"]
-    },
-    "process_id": "filter_bands"
-  },
-  "normalized_difference": {
-    "arguments": {
-      "band1": {"from_node": "b1"},
-      "band2": {"from_node": "b2"}
-    },
-    "process_id": "normalized_difference"
-  },
-  "reduce": {
-    "arguments": {
-      "data": {"from_node": "normalized_difference"},
-      "dimension": "t",
-      "reducer": {
-        "callback": {
-          "min": {
-            "arguments": {
-              "data": {"from_argument": "data"}
+    "reduce_bands": {
+      "process_id": "reduce_dimension",
+      "arguments": {
+        "data": {
+          "from_node": "load_collection"
+        },
+        "reducer": {
+          "process_graph": {
+            "red": {
+              "process_id": "array_element",
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                },
+                "label": "B4"
+              }
             },
-            "process_id": "min",
-            "result": true
+            "nir": {
+              "process_id": "array_element",
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                },
+                "label": "B8"
+              }
+            },
+            "ndvi": {
+              "process_id": "normalized_difference",
+              "arguments": {
+                "x": {
+                  "from_node": "nir"
+                },
+                "y": {
+                  "from_node": "red"
+                }
+              },
+              "result": true
+            }
           }
-        }
-      }
+        },
+        "dimension": "bands"
+      },
+      "description": "Compute the NDVI: (NIR - RED) / (NIR + RED)"
     },
-    "process_id": "reduce"
-  },
-  "save_result": {
-    "arguments": {
-      "data": {"from_node": "reduce"},
-      "format": "png"
+    "reduce_time": {
+      "process_id": "reduce_dimension",
+      "arguments": {
+        "data": {
+          "from_node": "reduce_bands"
+        },
+        "reducer": {
+          "process_graph": {
+            "max": {
+              "process_id": "max",
+              "arguments": {
+                "data": {
+                  "from_parameter": "data"
+                }
+              },
+              "result": true
+            }
+          }
+        },
+        "dimension": "t"
+      },
+      "description": "Compute a minimum time composite by reducing the temporal dimension"
     },
-    "process_id": "save_result",
-    "result": true
+    "save": {
+      "process_id": "save_result",
+      "arguments": {
+        "data": {
+          "from_node": "apply"
+        },
+        "format": "GTIFF-THUMB"
+      },
+      "result": true
+    }
   }
 }
\ No newline at end of file
diff --git a/tests/processgraph.test.js b/tests/processgraph.test.js
index 4a970d7..4033433 100644
--- a/tests/processgraph.test.js
+++ b/tests/processgraph.test.js
@@ -5,36 +5,35 @@ const GeeProcessGraph = require('../src/processgraph/processgraph');
 const json = require('./data/sample-processgraph.json');
 
 describe('Process Graph Registry', () => {
-	var registry, p, context;
+	var p;
 
-	beforeAll(() => {
-		registry = new GeeProcessRegistry();
-		context = new ProcessingContext(new ServerContext());
-		p = new GeeProcessGraph(json, context);
-		return Promise.resolve();
+	beforeAll(async () => {
+		let serverContext = new ServerContext();
+		await serverContext.collections().loadCatalog();
+		serverContext.processes().addFromFolder('./src/processes/');
+		p = new GeeProcessGraph(json, new ProcessingContext(serverContext));
 	});
 
-	test('Load Processes', () => {
-		registry.addFromFolder('./src/processes/');
-		expect(registry.count()).toBe(18);
+	test('Processes', () => {
+		let registry = p.getContext().server().processes();
+		expect(registry.count()).toBe(66);
+		expect(registry.get('load_collection')).not.toBe(null);
+	});
+
+	test('Collections', () => {
+		let catalog = p.getContext().server().collections();
+		expect(catalog.getData('COPERNICUS/S2')).not.toBe(null);
 	});
 
 	test('Validate', async () => {
 		var errors = await p.validate(false);
-
-		expect(p.getNode("load_collection").getNextNodes().map(n => n.id)).toEqual(["b1", "b2"]);
-		expect(p.getStartNodeIds()).toEqual(["load_collection"]);
-		expect(p.getResultNode().id).toBe("save_result");
-
 		if (errors.count() > 0) {
 			console.log(errors.getMessage());
 		}
 		expect(errors.count()).toBe(0);
+		expect(p.getStartNodeIds()).toEqual(["load_collection"]);
+		expect(p.getNode("load_collection").getNextNodes().map(n => n.id)).toEqual(["reduce_bands"]);
+		expect(p.getResultNode().id).toBe("save");
 	});
 
-/*	test('Execute', async () => {
-		var resultNode = await p.execute();
-		expect(resultNode).not.toBeNull(); // TODO: Futher checks...
-	}); */
-
 });
\ No newline at end of file