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chore: initial suggestion for limiting keywords #236

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e68fc40
chore: initial suggestion for limiting keywords
JanssenBrm Aug 26, 2025
7dd88bf
biopar: fixed keywords
JanssenBrm Aug 26, 2025
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4 changes: 2 additions & 2 deletions algorithm_catalog/dhi/wind_turbine/records/wind_turbine_detection.json
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Expand Up @@ -15,8 +15,8 @@
"cost_estimate": 7,
"cost_unit": "platform credits per km\u00b2",
"keywords": [
"wind turbine",
"detection"
"Energy",
"Sentinel 2"
],
"language": {
"code": "en-US",
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4 changes: 2 additions & 2 deletions algorithm_catalog/eurac/eurac_pv_farm_detection/records/eurac_pv_farm_detection.json
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"cost_estimate": 0.001,
"cost_unit": "platform credits per km\u00b2",
"keywords": [
"photovoltaic farm",
"detection"
"Energy",
"Sentinel 2"
],
"language": {
"code": "en-US",
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10 changes: 3 additions & 7 deletions algorithm_catalog/terradue/gep_bas/records/gep_bas.json
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Expand Up @@ -15,13 +15,9 @@
"cost_estimate": 1.5,
"cost_unit": "\u20ac per input product",
"keywords": [
"burn severity",
"fire impact",
"remote sensing",
"optical imagery",
"NBR",
"dNBR",
"RBR"
"Disaster",
"Sentinel 2",
"Landsat 8"
],
"language": {
"code": "en-US",
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9 changes: 2 additions & 7 deletions algorithm_catalog/terradue/gep_ost/records/gep_ost.json
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Expand Up @@ -15,13 +15,8 @@
"cost_estimate": 1.5,
"cost_unit": "\u20ac per input product",
"keywords": [
"OST",
"OpenSARToolkit",
"remote sensing",
"ARD",
"RTC",
"GTC",
"RBR"
"Sentinel 1",
"Land"
],
"language": {
"code": "en-US",
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8 changes: 2 additions & 6 deletions algorithm_catalog/terradue/sar_coin/records/sar_coin.json
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Expand Up @@ -15,12 +15,8 @@
"cost_estimate": 2.5,
"cost_unit": "\u20ac per input product",
"keywords": [
"SAR",
"coherence",
"backscatter",
"Sentinel-1",
"disaster management",
"remote sensing"
"Disaster",
"Sentinel 1"
],
"language": {
"code": "en-US",
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9 changes: 2 additions & 7 deletions ...thm_catalog/terradue/snap_insar_sentinel1_iw_slc/records/snap_insar_sentinel1_iw_slc.json
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"cost_estimate": 6.0,
"cost_unit": "\u20ac per input product",
"keywords": [
"InSAR",
"interferometry",
"Sentinel-1",
"displacement",
"coherence",
"phase",
"remote sensing"
"Disaster",
"Sentinel 1"
],
"language": {
"code": "en-US",
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4 changes: 2 additions & 2 deletions algorithm_catalog/vito/bap_composite/records/bap_composite.json
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Expand Up @@ -15,7 +15,7 @@
"cost_estimate": 0.2,
"cost_unit": "platform credits per km\u00b2",
"keywords": [
"composite"
"Sentinel 2"
],
"language": {
"code": "en-US",
Expand Down Expand Up @@ -120,4 +120,4 @@
"href": "https://raw.githubusercontent.com/ESA-APEx/apex_algorithms/refs/heads/main/algorithm_catalog/vito/bap_composite/records/thumbnail.png"
}
]
}
}
4 changes: 2 additions & 2 deletions algorithm_catalog/vito/biopar/records/biopar.json
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"cost_estimate": 0.1,
"cost_unit": "platform credits per km² per observation",
"keywords": [
"agriculture",
"crops"
"Vegetation",
"Sentinel 2"
],
"language": {
"code": "en-US",
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3 changes: 1 addition & 2 deletions algorithm_catalog/vito/fusets_mogpr/records/fusets_mogpr.json
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"cost_estimate": 12,
"cost_unit": "platform credits per km²",
"keywords": [
"timeseries",
"Gaussian Process Regression (GPR)"
"Data Fusion"
],
"language": {
"code": "en-US",
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3 changes: 2 additions & 1 deletion algorithm_catalog/vito/max_ndvi_composite/records/max_ndvi_composite.json
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Expand Up @@ -15,7 +15,8 @@
"cost_estimate": 0.1,
"cost_unit": "platform credits per km\u00b2 and observation.",
"keywords": [
"vegetation"
"Vegetation",
"Sentinel 2"
],
"language": {
"code": "en-US",
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4 changes: 2 additions & 2 deletions algorithm_catalog/vito/parcel_delineation/records/parcel_delineation.json
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Expand Up @@ -15,8 +15,8 @@
"cost_estimate": 0.11,
"cost_unit": "platform credits per km²",
"keywords": [
"agricultural parcels",
"delineation"
"Agriculture",
"Sentinel 2"
],
"language": {
"code": "en-US",
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5 changes: 3 additions & 2 deletions algorithm_catalog/vito/random_forest_firemapping/records/random_forest_firemapping.json
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"cost_estimate": 0.45,
"cost_unit": "platform credits per km²",
"keywords": [
"forest fires",
"mapping"
"Disaster",
"Sentinel 1",
"Sentinel 2"
],
"language": {
"code": "en-US",
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5 changes: 2 additions & 3 deletions algorithm_catalog/vito/sentinel1_stats/records/sentinel1_stats.json
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"cost_estimate": 0.1,
"cost_unit": "platform credits per km\u00b2",
"keywords": [
"sentinel-1",
"statistics"
"Sentinel 1"
],
"language": {
"code": "en-US",
Expand Down Expand Up @@ -124,4 +123,4 @@
"href": "https://raw.githubusercontent.com/ESA-APEx/apex_algorithms/refs/heads/main/algorithm_catalog/vito/sentinel1_stats/records/thumbnail.png"
}
]
}
}
7 changes: 2 additions & 5 deletions algorithm_catalog/vito/variabilitymap/records/variabilitymap.json
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Expand Up @@ -13,11 +13,8 @@
"title": "Variability maps",
"description": "Daily crop performance calculation",
"keywords": [
"Variabilitymap",
"nextland services",
"agriculture",
"EO",
"biopar"
"Agriculture",
"Sentinel 2"
],
"language": {
"code": "en-US",
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5 changes: 3 additions & 2 deletions algorithm_catalog/vito/worldcereal_crop_extent/records/worldcereal_crop_extent.json
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"cost_estimate": 0.1,
"cost_unit": "platform credits per km\u00b2",
"keywords": [
"agriculture",
"crops"
"Agriculture",
"Sentinel 2",
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it does also use alternative data sources; will this become misleading?

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Should we keep it at Agriculture or are there other tags that could be relevant?

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I was basing myself on the description, but maybe we can extend the list of data sources?

Based on Sentinel-1 and 2 data, this algorithm can be used from 2016 onwards.

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We could add Agera5 and DEM then, argiculture is relevant yes

"Sentinel 1"
],
"language": {
"code": "en-US",
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8 changes: 4 additions & 4 deletions algorithm_catalog/vito/worldcereal_crop_type/records/worldcereal_crop_type.json
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"cost_estimate": 0.1,
"cost_unit": "platform credits per km\u00b2",
"keywords": [
"agriculture",
"crops"
"Agriculture",
"Sentinel 2",
"Sentinel 1"
],
"language": {
"code": "en-US",
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"title": "Thumbnail image",
"href": "https://raw.githubusercontent.com/ESA-APEx/apex_algorithms/refs/heads/main/algorithm_catalog/vito/worldcereal_crop_type/records/thumbnail.png"
}

]
}
}
5 changes: 3 additions & 2 deletions algorithm_catalog/wur/worldagrocommodities/records/wac_inference.json
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"cost_estimate": 0.125,
"cost_unit": "platform credits per km²",
"keywords": [
"classification",
"agroforestry"
"Agriculture",
"Sentinel 2",
"Sentinel 1"
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see above

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here we should also add DEM or DIgital Elevation Model

],
"language": {
"code": "en-US",
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17 changes: 15 additions & 2 deletions schemas/record.json
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"type": "array",
"description": "The topic or topics of the APEx service. Typically represented using free-form keywords, tags, key phrases, or classification codes.",
"items": {
"type": "string"
}
"type": "string",
"enum": [
"Vegetation",
"Agriculture",
"Land",
"Energy",
"Disaster",
"Sentinel 1",
"Sentinel 2",
"Landsat 8",
"Data Fusion"
]
},
"minItems": 1,
"uniqueItems": true
},
"language": {
"description": "The language used for textual values in this record representation.",
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