Universal Hot and Cold SpotsUniverselle Hot- und Coldspots
Universelle Hot- und ColdspotsUniversal Hot and Cold Spots
This dataset provides climate adaptation data derived from an extensive analysis of current conditions, including temperature patterns (universal hot and cold spots), land use such as degree of soil sealing, and indicators related to blue-green infrastructure. It is published by the Hessian Ministry for Economic Affairs, Energy, Transport, Housing and Rural Areas and covers the German state of Hesse. The data supports assessment of local climate stress factors and green and water infrastructure conditions relevant to climate adaptation planning.Auf dem Gebiet der Klimaanpassung werden eine Vielzahl an Daten auf Grundlage einer umfangreichen Analyse der Ist-Situation u. a. in Bezug auf die Temperaturmuster (universelle Hot- und Coldpost), die Landnutzung (z. B. Versiegelungsgrad) und die Blau-Grüne-Infrastruktur (Indikatoren) bereitgestell…
Trust score
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Data schema (21 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| id | string | Identifier of the 100m grid cell used for the analysis.Identifier of the 100m grid cell used for the analysis. |
| tropennaechte | decimal | Number of tropical nights (nights with minimum temperature above 20°C).Number of tropical nights (nights with minimum temperature above 20°C). |
| lst_tagLst tag | decimal | Average daytime land surface temperature.Average daytime land surface temperature. |
| lst_nachtLst nacht | decimal | Average nighttime land surface temperature.Average nighttime land surface temperature. |
| gemeinde_nrGemeinde nr | decimal | Official municipality (Gemeinde) identification number.Official municipality (Gemeinde) identification number. |
| regierungsbezirk_nrRegierungsbezirk nr | decimal | Official administrative district (Regierungsbezirk) identification number.Official administrative district (Regierungsbezirk) identification number. |
| pet | decimal | Physiological Equivalent Temperature value for the location.Physiological Equivalent Temperature value for the location. |
| tropennaechte_klassifiziertTropennaechte klassifiziert | decimal | Classification category for the number of tropical nights.Classification category for the number of tropical nights. |
| lst_tag_klassifiziertLst tag klassifiziert | decimal | Classification category for daytime land surface temperature.Classification category for daytime land surface temperature. |
| lst_nacht_klassifiziertLst nacht klassifiziert | decimal | Classification category for nighttime land surface temperature.Classification category for nighttime land surface temperature. |
| pet_klassifiziertPet klassifiziert | decimal | Classification category for the Physiological Equivalent Temperature.Classification category for the Physiological Equivalent Temperature. |
| universelle_hot_und_coldspotsUniverselle hot und coldspots | decimal | Combined classification identifying the cell as a universal hot or cold spot.Combined classification identifying the cell as a universal hot or cold spot. |
| lst_tag_stdLst tag std | decimal | Standard deviation of the daytime land surface temperature measurements.Standard deviation of the daytime land surface temperature measurements. |
| lst_tag_uhrzeitLst tag uhrzeit | decimal | Average time of day of the daytime land surface temperature measurement.Average time of day of the daytime land surface temperature measurement. |
| lst_tag_observationenLst tag observationen | decimal | Number of observations used to derive the daytime land surface temperature.Number of observations used to derive the daytime land surface temperature. |
| lst_tag_unsicherheitLst tag unsicherheit | decimal | Estimated uncertainty of the daytime land surface temperature value.Estimated uncertainty of the daytime land surface temperature value. |
| lst_nacht_stdLst nacht std | decimal | Standard deviation of the nighttime land surface temperature measurements.Standard deviation of the nighttime land surface temperature measurements. |
| lst_nacht_uhrzeitLst nacht uhrzeit | decimal | Average time of the nighttime land surface temperature measurement.Average time of the nighttime land surface temperature measurement. |
| lst_nacht_observationenLst nacht observationen | decimal | Number of observations used to derive the nighttime land surface temperature.Number of observations used to derive the nighttime land surface temperature. |
| lst_nacht_unsicherheitLst nacht unsicherheit | decimal | Estimated uncertainty of the nighttime land surface temperature value.Estimated uncertainty of the nighttime land surface temperature value. |
| geom | geometry | Spatial geometry of the grid cell.Spatial geometry of the grid cell. |
Schema captured from wfs 26 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 (3 records)
Record 1id: 100mN30438E42365 · pet: 39.4857368469238
{
"id": "100mN30438E42365",
"pet": 39.4857368469238,
"gml_id": "FT_HOT_COLD_SPOTS_FINAL_1",
"lst_tag": 28.9550459575695,
"lst_nacht": 12.7168020304569,
"gemeinde_nr": 531011,
"lst_tag_std": 6.58806650671441,
"lst_nacht_std": 3.18794882201278,
"tropennaechte": 2,
"lst_tag_uhrzeit": 12.2536303854875,
"lst_nacht_uhrzeit": 2.12081218274112,
"pet_klassifiziert": 3,
"regierungsbezirk_nr": 5,
"lst_tag_unsicherheit": 0.740826152370415,
"lst_tag_klassifiziert": 2,
"lst_tag_observationen": 26,
"lst_nacht_unsicherheit": 0.175108510768125,
"lst_nacht_klassifiziert": 4,
"lst_nacht_observationen": 197,
"tropennaechte_klassifiziert": 2,
"universelle_hot_und_coldspots": 3
}Record 2id: 100mN30438E42366 · pet: 39.6668516479592
{
"id": "100mN30438E42366",
"pet": 39.6668516479592,
"gml_id": "FT_HOT_COLD_SPOTS_FINAL_2",
"lst_tag": 28.7291971837241,
"lst_nacht": 12.7168020304569,
"gemeinde_nr": 531011,
"lst_tag_std": 6.94484275576225,
"lst_nacht_std": 3.18794882201278,
"tropennaechte": 2,
"lst_tag_uhrzeit": 12.2538263872553,
"lst_nacht_uhrzeit": 2.12081218274112,
"pet_klassifiziert": 3,
"regierungsbezirk_nr": 5,
"lst_tag_unsicherheit": 0.761509262254635,
"lst_tag_klassifiziert": 2,
"lst_tag_observationen": 26,
"lst_nacht_unsicherheit": 0.175108510768125,
"lst_nacht_klassifiziert": 4,
"lst_nacht_observationen": 197,
"tropennaechte_klassifiziert": 2,
"universelle_hot_und_coldspots": 3
}Record 3id: 100mN30438E42367 · pet: 39.816291809082
{
"id": "100mN30438E42367",
"pet": 39.816291809082,
"gml_id": "FT_HOT_COLD_SPOTS_FINAL_3",
"lst_tag": 28.8633254515335,
"lst_nacht": 12.7168020304569,
"gemeinde_nr": 531011,
"lst_tag_std": 7.49968392343827,
"lst_nacht_std": 3.18794882201278,
"tropennaechte": 2,
"lst_tag_uhrzeit": 12.2535159905122,
"lst_nacht_uhrzeit": 2.12081218274112,
"pet_klassifiziert": 3,
"regierungsbezirk_nr": 5,
"lst_tag_unsicherheit": 0.772356996899004,
"lst_tag_klassifiziert": 2,
"lst_tag_observationen": 25,
"lst_nacht_unsicherheit": 0.175108510768125,
"lst_nacht_klassifiziert": 4,
"lst_nacht_observationen": 197,
"tropennaechte_klassifiziert": 2,
"universelle_hot_und_coldspots": 3
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://geodatendienste-umweltplanung-hessen.de/ows/services/org.2.49666e11-dd55-4623-a47f-70be6191017a_wms?
Query examples
curl -s 'https://geodatendienste-umweltplanung-hessen.de/ows/services/org.2.49666e11-dd55-4623-a47f-70be6191017a_wfs?service=WFS&version=2.0.0&request=GetCapabilities' -H 'Accept: application/json'List the feature types (layers) and supported operations.
Dataset
Volume & freshness
License
No license declared upstream.
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