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I was going through the notebook I prepared last year for ADO and I encountered a simple example I'm not able to run with Rasdaman/WCPS.
I would need to load the CORINE land cover data and mask out urban areas.
The process graph could be the following. We could have also different ways of doing it, but I couldn't find one working.
{ "process_graph": { "loadcollection1": { "process_id": "load_collection", "arguments": { "id": "ADO_CORINE_100m_3035", "spatial_extent": { "west": 11.222878, "east": 11.45256, "south": 46.45958, "north": 46.532611 }, "temporal_extent": [ "2017-01-01T00:00:00Z", "2019-12-31T00:00:00Z" ], "bands": [], "properties": {} } }, "apply1": { "process_id": "apply", "arguments": { "data": { "from_node": "loadcollection1" }, "process": { "process_graph": { "gte1": { "process_id": "gte", "arguments": { "x": { "from_parameter": "x" }, "y": 200 }, "result": true } } } } }, "save1": { "process_id": "save_result", "arguments": { "data": { "from_node": "mask2" }, "format": "NETCDF" }, "result": true }, "mask2": { "process_id": "mask", "arguments": { "mask": { "from_node": "apply1" }, "data": { "from_node": "loadcollection1" } } } }, "parameters": [] }
The text was updated successfully, but these errors were encountered:
pierocampa
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I was going through the notebook I prepared last year for ADO and I encountered a simple example I'm not able to run with Rasdaman/WCPS.
I would need to load the CORINE land cover data and mask out urban areas.
The process graph could be the following. We could have also different ways of doing it, but I couldn't find one working.
The text was updated successfully, but these errors were encountered: