GPS - Urban Heat Islands (ICU): classification of IMU into Local Climate Zone (LCZ), Heat Hazards and Vulnerabilities - Nov 2023GPS - Ilots de chaleur Urbains (ICU) : classification des IMU en zone climatique locale (LCZ) , Aléas et Vulnérabilités à la chaleur - Nov2023
GPS - Ilots de chaleur Urbains (ICU) : classification des IMU en zone climatique locale (LCZ) , Aléas et Vulnérabilités à la chaleur - Nov2023GPS - Urban Heat Islands (ICU): classification of IMU into Local Climate Zone (LCZ), Heat Hazards and Vulnerabilities - Nov 2023
This dataset, published via the Grand Paris Sud open data portal, provides a spatial classification of urban units (IMU) into Local Climate Zones (LCZ) to analyze urban heat island effects across the territory. It includes several reading layers, to be viewed for day and night periods, covering the aggravation of the 'heat wave' hazard due to the urban heat island effect, and a vulnerability layer describing the sensitivity, or fragility, of residents and their living environment to heat exposure. The data supports local climate risk assessment and can inform urban planning and public health measures aimed at reducing heat-related vulnerability within the Grand Paris Sud area.Normal 0 21 false false false FR X-NONE X-NONE MicrosoftInternetExplorer4 Les facettes de lecture (à voir en périodes de jour et de nuit). « ALEA », aggravation de l’aléa « Vague de chaleur » par l’effet d’ICU Hauteur de la Vulnérabilité « SENSIBILITÉ », fragilité des personnes et du lieu de vie...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (32 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | Geographic center point coordinates of the feature.Geographic center point coordinates of the feature. |
| — | geo_shapeShape | geo_shape | Geographic polygon shape of the urban unit (IMU).Geographic polygon shape of the urban unit (IMU). |
| — | code_imuCode imu | int | Identifier code of the urban unit (IMU).Identifier code of the urban unit (IMU). |
| — | type_lcztype de zone (lcz) | text | Local climate zone type label of the area.Local climate zone type label of the area. |
| — | lcz1 | text | Primary local climate zone (LCZ) classification code.Primary local climate zone (LCZ) classification code. |
| — | lcz2 | text | Secondary local climate zone (LCZ) classification code.Secondary local climate zone (LCZ) classification code. |
| — | lcz_12Lcz 12 | text | Combined primary and secondary local climate zone codes.Combined primary and secondary local climate zone codes. |
| — | svf_approcSvf approc | double | Approximate sky view factor of the area.Approximate sky view factor of the area. |
| — | aspect_ratAspect rat | double | Aspect ratio value describing surface geometry.Aspect ratio value describing surface geometry. |
| — | hauteur_moHauteur mo | double | Mean building height in the area.Mean building height in the area. |
| 100% | permeableperméable | double | Percentage of permeable surface in the area.Percentage of permeable surface in the area. |
| 100% | voirie | double | Percentage of road surface in the area.Percentage of road surface in the area. |
| 100% | bati | double | Percentage of built-up surface in the area.Percentage of built-up surface in the area. |
| 100% | rugosite_tRugosite t | double | Terrain surface roughness value.Terrain surface roughness value. |
| 100% | admitance | double | Thermal admittance value of surface materials.Thermal admittance value of surface materials. |
| 100% | albedo | double | Surface albedo (reflectivity) value.Surface albedo (reflectivity) value. |
| 100% | flux_chaleflux de chaleur | int | Estimated heat flux value for the area.Estimated heat flux value for the area. |
| 100% | aleaj_notealéa jour (note) | int | Daytime heat hazard score.Daytime heat hazard score. |
| 100% | alean_notealéa nuit (note) | int | Nighttime heat hazard score.Nighttime heat hazard score. |
| 100% | alea_j_claléa jour (classe) | text | Daytime heat hazard class category.Daytime heat hazard class category. |
| 100% | alea_n_claléa nuit (classe) | text | Nighttime heat hazard class category.Nighttime heat hazard class category. |
| 100% | sensi_j_clsensibilité jour (classe) | text | Daytime sensitivity class to heat.Daytime sensitivity class to heat. |
| 100% | sensi_n_clsensibilité nuit (classe) | text | Nighttime sensitivity class to heat.Nighttime sensitivity class to heat. |
| 100% | incap_j_cldifficulté jour (classe) | text | Daytime coping difficulty class regarding heat.Daytime coping difficulty class regarding heat. |
| 100% | incap_n_cldifficulté nuit (classe) | text | Nighttime coping difficulty class regarding heat.Nighttime coping difficulty class regarding heat. |
| 100% | vulnj_notevulnérabilité jour (note de 1 à 9) | int | Daytime heat vulnerability score, from 1 to 9.Daytime heat vulnerability score, from 1 to 9. |
| 100% | vulnn_notevulnérabilité nuit (note de 1 à 9) | int | Nighttime heat vulnerability score, from 1 to 9.Nighttime heat vulnerability score, from 1 to 9. |
| 100% | shape_lengShape leng | double | Perimeter length of the feature geometry.Perimeter length of the feature geometry. |
| 100% | objectid | int | Internal record identifier.Internal record identifier. |
| 100% | st_areashaSt areasha | double | Shape area of the feature geometry.Shape area of the feature geometry. |
| 100% | st_lengthsSt lengths | double | Shape perimeter length of the feature geometry.Shape perimeter length of the feature geometry. |
| 100% | nom_epciNom epci | text | Name of the intermunicipal cooperation body (EPCI).Name of the intermunicipal cooperation body (EPCI). |
Schema captured from opendatasoft 3 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1bati: 0 · lcz1: C
{
"bati": 0,
"lcz1": "C",
"lcz2": null,
"albedo": 0.225,
"lcz_12": "C",
"voirie": 22.89417982,
"code_imu": 77041391,
"nom_epci": "CA Grand Paris Sud Seine Essonne Sénart",
"objectid": 78817,
"type_lcz": "Buissons broussaille",
"admitance": 1400,
"alea_j_cl": "Très faible (Fraîcheur)",
"alea_n_cl": "Très faible (Fraîcheur)",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.566343269342074,
48.624960917577,
-0.000058939680457
],
[
2.566288596783985,
48.62503674367164,
-0.000058939680457
],
[
2.56628638942907,
48.625039493545195,
-0.000058939680457
],
[
2.566180700171401,
48.62515747214927,
-0.000058939680457
],
[
2.565427260141173,
48.626198772588815,
-0.000058942474425
],
[
2.564961416984861,
48.62691479828417,
-0.000058943405747
],
[
2.565093062370793,
48.62674275689497,
-0.000058942474425
],
[
2.565795117924711,
48.62583082956496,
-0.00005894061178
],
[
2.566500086700089,
48.62500327176055,
-0.000058939680457
],
[
2.566343269342074,
48.624960917577,
-0.000058939680457
]
]
]
},
"properties": {}
},
"permeable": 77.10582018000001,
"aleaj_note": 0,
"alean_note": -3,
"aspect_rat": 0.25,
"flux_chale": 0,
"hauteur_mo": 3,
"incap_j_cl": "Fort",
"incap_n_cl": "Fort",
"rugosite_t": 4.5,
"sensi_j_cl": "Moyen",
"sensi_n_cl": "Moyen",
"shape_leng": 493.43336658,
"st_areasha": 1592.740577635,
"st_lengths": 493.4333665752648,
"svf_approc": 1,
"vulnj_note": 2,
"vulnn_note": 2,
"geo_point_2d": {
"lat": 48.62564272126782,
"lon": 2.565899420899564
}
}Record 2bati: 8.35988447 · lcz1: 9
{
"bati": 8.35988447,
"lcz1": "9",
"lcz2": null,
"albedo": 0.185,
"lcz_12": "9",
"voirie": 0.06445199,
"code_imu": 91025191,
"nom_epci": "CA Grand Paris Sud Seine Essonne Sénart",
"objectid": 194556,
"type_lcz": "Maisons éparses constructions isolées",
"admitance": 1600,
"alea_j_cl": "Moyen",
"alea_n_cl": "Très faible (Fraîcheur)",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.427366533905006,
48.59387361605963,
-0.000058883801103
],
[
2.426719042446163,
48.594421302219004,
-0.00005888286978
],
[
2.426503258564762,
48.59457786436481,
-0.000058883801103
],
[
2.425877926204897,
48.59503199166506,
-0.000058884732425
],
[
2.426068879962336,
48.59521014567662,
-0.000058885663748
],
[
2.426448721641018,
48.59534950901119,
-0.000058885663748
],
[
2.426272988611195,
48.595632636380216,
-0.000058885663748
],
[
2.426218921374064,
48.595722604774515,
-0.000058885663748
],
[
2.426093181642957,
48.5958975297823,
-0.00005888659507
],
[
2.42607016562946,
48.59592955240402,
-0.000058887526393
],
[
2.426002572364229,
48.59603751745274,
-0.00005888659507
],
[
2.425949099583321,
48.596171164220856,
-0.00005888659507
],
[
2.425997046575425,
48.596091054276265,
-0.00005888659507
],
[
2.426133202951095,
48.595869524650055,
-0.00005888659507
],
[
2.426133869323223,
48.59586848798711,
-0.000058887526393
],
[
2.426137016821229,
48.595863793136765,
-0.000058887526393
],
[
2.426579157624225,
48.595145739732146,
-0.000058883801103
],
[
2.426579847415041,
48.59514466809669,
-0.000058884732425
],
[
2.426582976807183,
48.595140009126816,
-0.000058885663748
],
[
2.427002246922441,
48.59446125546965,
-0.00005888286978
],
[
2.427166583106897,
48.59419392107077,
-0.000058883801103
],
[
2.4272825593428,
48.594008216146776,
-0.00005888286978
],
[
2.427317079169992,
48.593952594993105,
-0.000058881007135
],
[
2.427366533905006,
48.59387361605963,
-0.000058883801103
]
]
]
},
"properties": {}
},
"permeable": 91.57566354,
"aleaj_note": 2,
"alean_note": -3,
"aspect_rat": 0.25,
"flux_chale": 0,
"hauteur_mo": 3,
"incap_j_cl": "Fort",
"incap_n_cl": "Moyen",
"rugosite_t": 5.5,
"sensi_j_cl": "Fort",
"sensi_n_cl": "Fort",
"shape_leng": 600.28579413,
"st_areasha": 4652.15404397,
"st_lengths": 600.285794133946,
"svf_approc": 0.9,
"vulnj_note": 5,
"vulnn_note": 2,
"geo_point_2d": {
"lat": 48.594806547220756,
"lon": 2.426536205350438
}
}Record 3bati: 0 · lcz1: D
{
"bati": 0,
"lcz1": "D",
"lcz2": null,
"albedo": 0.2,
"lcz_12": "D",
"voirie": 0.48847804,
"code_imu": 91019590,
"nom_epci": "CA Grand Paris Sud Seine Essonne Sénart",
"objectid": 188995,
"type_lcz": "Pelouses Prairies Cultures",
"admitance": 1400,
"alea_j_cl": "Moyen",
"alea_n_cl": "Très faible (Fraîcheur)",
"geo_shape": "[large value omitted]",
"permeable": 99.51152196,
"aleaj_note": 1,
"alean_note": -3,
"aspect_rat": 0.25,
"flux_chale": 10,
"hauteur_mo": 3,
"incap_j_cl": "Moyen",
"incap_n_cl": "Moyen",
"rugosite_t": 3.5,
"sensi_j_cl": "Moyen",
"sensi_n_cl": "Moyen",
"shape_leng": 1157.28353125,
"st_areasha": 40030.327928395,
"st_lengths": 1157.2835312587254,
"svf_approc": 1,
"vulnj_note": 3,
"vulnn_note": 1,
"geo_point_2d": {
"lat": 48.63155749369783,
"lon": 2.4874750223963584
}
}Record 4bati: 13.050404669999997 · lcz1: B
{
"bati": 13.050404669999997,
"lcz1": "B",
"lcz2": "G",
"albedo": 0.13815185,
"lcz_12": "B.g",
"voirie": 0.72164636,
"code_imu": 77042025,
"nom_epci": "CA Grand Paris Sud Seine Essonne Sénart",
"objectid": 79317,
"type_lcz": "Arbres épars",
"admitance": 1444.2,
"alea_j_cl": "Moyen",
"alea_n_cl": "Très faible (Fraîcheur)",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.560275679414327,
48.6520152793506,
-0.000058987177908
],
[
2.559901060535991,
48.65278940903166,
-0.000058989040554
],
[
2.560733382764524,
48.6529436514129,
-0.000058989971876
],
[
2.560966036641144,
48.65298759446865,
-0.000058991834521
],
[
2.561490001170363,
48.65307787002612,
-0.000058989971876
],
[
2.561814349281238,
48.652310833095186,
-0.000058989971876
],
[
2.561574560174509,
48.652264060789655,
-0.000058989971876
],
[
2.561056729186284,
48.65216681183667,
-0.000058988109231
],
[
2.561051541561496,
48.65216587794367,
-0.000058989040554
],
[
2.561047613633485,
48.65216512229267,
-0.000058989040554
],
[
2.560873633285558,
48.65213192144803,
-0.000058989040554
],
[
2.560351059367538,
48.65202846520818,
-0.000058989040554
],
[
2.560275679414327,
48.6520152793506,
-0.000058987177908
]
]
]
},
"properties": {}
},
"permeable": 86.22794896,
"aleaj_note": 3,
"alean_note": 0,
"aspect_rat": 0.2,
"flux_chale": 0,
"hauteur_mo": 8.99999714,
"incap_j_cl": "Fort",
"incap_n_cl": "Moyen",
"rugosite_t": 3.5,
"sensi_j_cl": "Moyen",
"sensi_n_cl": "Moyen",
"shape_leng": 418.31220540000004,
"st_areasha": 10728.74698268,
"st_lengths": 418.3122053941191,
"svf_approc": 0.9,
"vulnj_note": 4,
"vulnn_note": 1,
"geo_point_2d": {
"lat": 48.65255088853961,
"lon": 2.560866692257263
}
}Record 5bati: 19.44361818 · lcz1: 9
{
"bati": 19.44361818,
"lcz1": "9",
"lcz2": null,
"albedo": 0.185,
"lcz_12": "9",
"voirie": 3.4482609,
"code_imu": 77057770,
"nom_epci": "CA Grand Paris Sud Seine Essonne Sénart",
"objectid": 92756,
"type_lcz": "Maisons éparses constructions isolées",
"admitance": 1600,
"alea_j_cl": "Moyen",
"alea_n_cl": "Très faible (Fraîcheur)",
"geo_shape": "[large value omitted]",
"permeable": 77.10812091999999,
"aleaj_note": 3,
"alean_note": -2,
"aspect_rat": 0.2,
"flux_chale": 0,
"hauteur_mo": 5.71565866,
"incap_j_cl": "Moyen",
"incap_n_cl": "Moyen",
"rugosite_t": 5.5,
"sensi_j_cl": "Moyen",
"sensi_n_cl": "Fort",
"shape_leng": 864.65240407,
"st_areasha": 20527.9904162,
"st_lengths": 864.6524040597856,
"svf_approc": 0.8,
"vulnj_note": 3,
"vulnn_note": 2,
"geo_point_2d": {
"lat": 48.622993974541586,
"lon": 2.60257664209867
}
}Live sample captured at profiling time — values may have changed upstream.
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Using the API
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- Base URL
- https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/gps-ilots-de-chaleur-urbains-icu-classification-des-imu-lcz-alea-vuln-j-et-n
Query examples
curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/gps-ilots-de-chaleur-urbains-icu-classification-des-imu-lcz-alea-vuln-j-et-n/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
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