updated changes with dependencies and readme

Author: Pratichhya

benchmark_scenarios/cropsar_px.json

@@ -40,17 +40,6 @@
                 },
                 "namespace": "https://raw.githubusercontent.com/ESA-APEx/apex_algorithms/3215de22eded7c87c46122f073d15c7258af26b4/openeo_udp/cropsar_px/cropsar_px.json",
                 "process_id": "cropsar_px"
-            },
-            "saveresult1": {
-                "arguments": {
-                    "data": {
-                        "from_node": "cropsarpx1"
-                    },
-                    "format": "netCDF",
-                    "options": {}
-                },
-                "process_id": "save_result",
-                "result": true
             }
         },
         "reference_data": {

openeo_udp/cropsar_px/README.md

@@ -18,8 +18,60 @@ The following example demonstrates how the 'CropSAR_px' process can be executed
 This batch job produces a netCDF file containing the results. 
 Additionally, the `GeoTIFF` format can be specified to yield separate files for each date. 
 
-> Note that generating multiple GeoTIFF files as output is a unique feature available only in a batch job.
+```python
 
-By default, the output variable is set to NDVI.
-However, by supplying one of the supported values listed above to the output parameter, a different result can be obtained.
+import openeo
+connection = openeo.connect("openeofed.dataspace.copernicus.eu").authenticate_oidc()
 
+spat_ext = {
+        "coordinates": [
+          [
+            [
+              5.178303838475193,
+              51.252856237848164
+            ],
+            [
+              5.178003609252369,
+              51.25109194151486
+            ],
+            [
+              5.179280940922463,
+              51.25103833409551
+            ],
+            [
+              5.179565949577788,
+              51.25278555186941
+            ],
+            [
+              5.178303838475193,
+              51.252856237848164
+            ]
+          ]
+        ],
+        "type": "Polygon"
+      }
+
+startdate = "2021-01-01"
+enddate = "2021-01-20"
+cropsarpx_id = 'cropsar_px'
+namespace = "REPLACE_WITH_NAMESPACE"
+
+cropsarpx = connection.datacube_from_process(
+    process_id=cropsarpx_id,
+    namespace=namespace,
+    spatial_extent=spat_ext,
+    startdate=startdate,
+    enddate=enddate,
+    output="NDVI"
+)
+
+cropsarpx.execute_batch('results/cropsar_px_290125.nc', title=f'cropsar_px', job_options={
+    "executor-memory": "2G",
+    "executor-memoryOverhead": "500m",
+    "python-memory": "3G"
+})
+
+```
+
+
+Refer to this [blog post](https://blog.vito.be/remotesensing/cropsar2023) for more information on how to run batch jobs.