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Fix openeo process #81

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Merged
firzaariany merged 2 commits into from
Sep 11, 2026
Merged

Fix openeo process #81

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f3345a0
Export oil_spill_index UDP from per-window time parameters
firzaariany Sep 11, 2026
bc7e163
Derive VCI historical windows from time + nb_past_years params
firzaariany Sep 11, 2026
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359 changes: 359 additions & 0 deletions algorithm_registration/oil_spill_index/openeo_udp/oil_spill_index.json
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Original file line number Diff line number Diff line change
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{
"process_graph": {
"loadcollection1": {
"process_id": "load_collection",
"arguments": {
"bands": [
"B02",
"B03",
"B04",
"B05",
"B06",
"B07",
"B08",
"B11",
"B12"
],
"id": "SENTINEL2_L2A",
"properties": {
"eo:cloud_cover": {
"process_graph": {
"lte1": {
"process_id": "lte",
"arguments": {
"x": {
"from_parameter": "value"
},
"y": 30
},
"result": true
}
}
}
},
"spatial_extent": {
"from_parameter": "bounding_box"
},
"temporal_extent": {
"from_parameter": "time_oil_spill"
}
}
},
"apply1": {
"process_id": "apply",
"arguments": {
"data": {
"from_node": "loadcollection1"
},
"process": {
"process_graph": {
"divide1": {
"process_id": "divide",
"arguments": {
"x": {
"from_parameter": "x"
},
"y": 10000.0
},
"result": true
}
}
}
}
},
"reducedimension1": {
"process_id": "reduce_dimension",
"arguments": {
"data": {
"from_node": "apply1"
},
"dimension": "t",
"reducer": {
"process_graph": {
"first1": {
"process_id": "first",
"arguments": {
"data": {
"from_parameter": "data"
}
},
"result": true
}
}
}
}
},
"applydimension1": {
"process_id": "apply_dimension",
"arguments": {
"data": {
"from_node": "reducedimension1"
},
"dimension": "bands",
"process": {
"process_graph": {
"arrayelement1": {
"process_id": "array_element",
"arguments": {
"data": {
"from_parameter": "data"
},
"index": 3
}
},
"arrayelement2": {
"process_id": "array_element",
"arguments": {
"data": {
"from_parameter": "data"
},
"index": 4
}
},
"add1": {
"process_id": "add",
"arguments": {
"x": {
"from_node": "arrayelement1"
},
"y": {
"from_node": "arrayelement2"
}
}
},
"arrayelement3": {
"process_id": "array_element",
"arguments": {
"data": {
"from_parameter": "data"
},
"index": 5
}
},
"divide2": {
"process_id": "divide",
"arguments": {
"x": {
"from_node": "add1"
},
"y": {
"from_node": "arrayelement3"
}
}
},
"divide3": {
"process_id": "divide",
"arguments": {
"x": {
"from_node": "divide2"
},
"y": 3
}
},
"arrayelement4": {
"process_id": "array_element",
"arguments": {
"data": {
"from_parameter": "data"
},
"index": 1
}
},
"arrayelement5": {
"process_id": "array_element",
"arguments": {
"data": {
"from_parameter": "data"
},
"index": 2
}
},
"add2": {
"process_id": "add",
"arguments": {
"x": {
"from_node": "arrayelement4"
},
"y": {
"from_node": "arrayelement5"
}
}
},
"arrayelement6": {
"process_id": "array_element",
"arguments": {
"data": {
"from_parameter": "data"
},
"index": 0
}
},
"divide4": {
"process_id": "divide",
"arguments": {
"x": {
"from_node": "add2"
},
"y": {
"from_node": "arrayelement6"
}
}
},
"divide5": {
"process_id": "divide",
"arguments": {
"x": {
"from_node": "divide4"
},
"y": 3
}
},
"arrayelement7": {
"process_id": "array_element",
"arguments": {
"data": {
"from_parameter": "data"
},
"index": 7
}
},
"arrayelement8": {
"process_id": "array_element",
"arguments": {
"data": {
"from_parameter": "data"
},
"index": 8
}
},
"add3": {
"process_id": "add",
"arguments": {
"x": {
"from_node": "arrayelement7"
},
"y": {
"from_node": "arrayelement8"
}
}
},
"arrayelement9": {
"process_id": "array_element",
"arguments": {
"data": {
"from_parameter": "data"
},
"index": 6
}
},
"divide6": {
"process_id": "divide",
"arguments": {
"x": {
"from_node": "add3"
},
"y": {
"from_node": "arrayelement9"
}
}
},
"divide7": {
"process_id": "divide",
"arguments": {
"x": {
"from_node": "divide6"
},
"y": 3
}
},
"arraycreate1": {
"process_id": "array_create",
"arguments": {
"data": [
{
"from_node": "divide3"
},
{
"from_node": "divide5"
},
{
"from_node": "divide7"
}
]
},
"result": true
}
}
}
}
},
"apply2": {
"process_id": "apply",
"arguments": {
"data": {
"from_node": "applydimension1"
},
"process": {
"process_graph": {
"linearscalerange1": {
"process_id": "linear_scale_range",
"arguments": {
"inputMax": 1,
"inputMin": 0,
"outputMax": 255,
"outputMin": 0,
"x": {
"from_parameter": "x"
}
},
"result": true
}
}
}
},
"result": true
}
},
"parameters": [
{
"name": "time_oil_spill",
"description": "Oil-spill acquisition window; the first available scene within this range is used",
"schema": {
"type": "array",
"subtype": "temporal-interval"
},
"default": [
"2020-08-01",
"2020-08-02"
],
"optional": true
},
{
"name": "bounding_box",
"description": "Spatial extent covering the Mauritius shore affected by the Wakashio oil spill",
"schema": {
"type": "object",
"subtype": "bounding-box"
},
"default": {
"west": 57.7,
"south": -20.45,
"east": 57.77,
"north": -20.41
},
"optional": true
},
{
"name": "cloud_cover",
"description": "Maximum scene-level cloud cover percentage",
"schema": {
"type": "number"
},
"default": 30,
"optional": true
}
],
"id": "oil_spill_index",
"summary": "Oil Spill Index (OSI) false-color composite from Sentinel-2 imagery using openEO.",
"description": "Highlights potential oil slick signatures over Sentinel-2 coastal and marine scenes using an Oil Spill Index (OSI) band ratio, rendered as a false-color RGB composite from red-edge, NIR, and SWIR band ratios. Intended for rapid screening; results should be validated with contextual information and complementary data (e.g. SAR) to avoid confusion with look-alike phenomena such as sunglint, algae, or sediments. Converted from the Sentinel Hub Oil Spill Index evalscript."
}
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