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Universal Hot and Cold SpotsUniverselle Hot- und Coldspots

Universelle Hot- und ColdspotsUniversal Hot and Cold Spots

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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…

42
fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (21 fields)

Click a field to see example values.

FieldTypeDescription
idstringIdentifier of the 100m grid cell used for the analysis.Identifier of the 100m grid cell used for the analysis.
tropennaechtedecimalNumber of tropical nights (nights with minimum temperature above 20°C).Number of tropical nights (nights with minimum temperature above 20°C).
lst_tagLst tagdecimalAverage daytime land surface temperature.Average daytime land surface temperature.
lst_nachtLst nachtdecimalAverage nighttime land surface temperature.Average nighttime land surface temperature.
gemeinde_nrGemeinde nrdecimalOfficial municipality (Gemeinde) identification number.Official municipality (Gemeinde) identification number.
regierungsbezirk_nrRegierungsbezirk nrdecimalOfficial administrative district (Regierungsbezirk) identification number.Official administrative district (Regierungsbezirk) identification number.
petdecimalPhysiological Equivalent Temperature value for the location.Physiological Equivalent Temperature value for the location.
tropennaechte_klassifiziertTropennaechte klassifiziertdecimalClassification category for the number of tropical nights.Classification category for the number of tropical nights.
lst_tag_klassifiziertLst tag klassifiziertdecimalClassification category for daytime land surface temperature.Classification category for daytime land surface temperature.
lst_nacht_klassifiziertLst nacht klassifiziertdecimalClassification category for nighttime land surface temperature.Classification category for nighttime land surface temperature.
pet_klassifiziertPet klassifiziertdecimalClassification category for the Physiological Equivalent Temperature.Classification category for the Physiological Equivalent Temperature.
universelle_hot_und_coldspotsUniverselle hot und coldspotsdecimalCombined 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 stddecimalStandard deviation of the daytime land surface temperature measurements.Standard deviation of the daytime land surface temperature measurements.
lst_tag_uhrzeitLst tag uhrzeitdecimalAverage 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 observationendecimalNumber 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 unsicherheitdecimalEstimated uncertainty of the daytime land surface temperature value.Estimated uncertainty of the daytime land surface temperature value.
lst_nacht_stdLst nacht stddecimalStandard deviation of the nighttime land surface temperature measurements.Standard deviation of the nighttime land surface temperature measurements.
lst_nacht_uhrzeitLst nacht uhrzeitdecimalAverage time of the nighttime land surface temperature measurement.Average time of the nighttime land surface temperature measurement.
lst_nacht_observationenLst nacht observationendecimalNumber 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 unsicherheitdecimalEstimated uncertainty of the nighttime land surface temperature value.Estimated uncertainty of the nighttime land surface temperature value.
geomgeometrySpatial 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.

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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.

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Dataset

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Datasets
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License

No license declared upstream.

Documentation Data dictionary Versioning

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