GovData SuchergebnisseGovdata.deinfo@govdata.dehttps://www.govdata.de/web/guest/suchen/-/atomfeed/f/format%3Ahtml%2Cformat%3Awms_srvc%2Ctype%3Adataset%2Ctags%3Ainspireidentifiziert%2C/s/relevance_desc2024-03-28T15:35:46ZRadverkehrsnetz HamburgHMDKLGVhttps://www.govdata.de/web/guest/suchen/-/details/radverkehrsnetz-hamburg357462024-03-21T21:53:28Z<p>Der Datensatz enthält die Radverkehrsanlagen der Freien und Hansestadt Hamburg. </p>
<p>Da es sich um einen routingfähigen Datensatz handelt, werden nicht nur klassische Radverkehrsanlagen (Radweg, Radfahrstreifen, Schutzstreifen etc.) erfasst, sondern auch Straßen und Wege, die von Radfahrenden nutzbar sind. Weiterhin werden auch Fußwege erfasst, wenn sie als sogenannte Schiebestrecken Lücken im Radverkehrsnetz füllen.</p>
<p>Folgende Attribute werden bereitgestellt:
- Status (Betrieb, Temporäre Anlage, …)
- Straßenname
- Art (Getrennter Geh-/Radweg, Gemeinsamer Geh-/Radweg, Radfahrstreifen, Schutzstreifen, Straße mit Mischverkehr bis 30 km/h, Fußgängerzone…)
- Klasse (Radweg, Radfahrstreifen, Schutzstreifen, Fahrradstraße, Wege in Grünanlagen, Straße mit Mischverkehr, Schiebestrecke, Sonstige)
- Zeitliche Beschränkung
- Benutzungspflicht
- Fahrtrichtung (in Geometrie-Richtung, in beide Richtungen)
- Oberfläche (bituminöse Decke, wassergebundene Decke, Kunststein, Naturstein, …)
- Breite in m
- Hindernis (Durchfahrbarkeit gegeben, Umfahrung möglich, …)
- Niveau (bodengleich, Tunnel, …)</p>
<p>Die Visualisierung im WMS und somit auch im Geoportal erfolgt anhand des Attributs Klasse.
Um die Übersichtlichkeit zu erhöhen, werden die Daten in sieben verschiedene Layer unterteilt, die sich an den Klassen orientieren.
Langfristig, z.B. wegen Baumaßnahmen, gesperrte Wege werden nicht im Datensatz veröffentlicht. </p>
<p>Sollten Sie Anmerkungen zum Datensatz haben oder Korrekturen melden wollen, schicken Sie diese bitte an radverkehrsnetz@gv.hamburg.de.</p>Sentinel-5P TROPOMI – Sulfur dioxide (SO2), Level 3 – GlobalGerman Aerospace Center (DLR)https://www.govdata.de/web/guest/suchen/-/details/sentinel-5p-tropomi-sulfur-dioxide-so2-level-3-global61e742024-03-04T09:11:41ZThe TROPOMI instrument onboard the Copernicus SENTINEL-5 Precursor satellite is a nadir-viewing, imaging spectrometer that provides global measurements of atmospheric properties and constituents on a daily basis. It is contributing to monitoring air quality and climate, providing critical information to services and decision makers.
The instrument uses passive remote sensing techniques by measuring the top of atmosphere solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum. The operational trace gas products generated at DLR on behave ESA are: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4), together with clouds and aerosol properties.
This product displays the sulphur dioxide (SO2) concentration around the globe. Sulphur dioxide enters the atmosphere through volcanic eruptions and human-related activities. Daily observations are binned onto a regular latitude-longitude grid.
This product is created in the scope of the project INPULS. The DLR INPULS project develops (a) innovative retrieval algorithms and processors for the generation of value-added products from the atmospheric Copernicus missions Sentinel-5 Precursor, Sentinel-4, and Sentinel-5, (b) cloud-based (re)processing systems, (c) improved data discovery and access technologies as well as server-side analytics for the users, and (d) data visualization services.Sentinel-5P TROPOMI – Cloud-Top Height (CTH), Level 3 – GlobalGerman Aerospace Center (DLR)https://www.govdata.de/web/guest/suchen/-/details/sentinel-5p-tropomi-cloud-top-height-cth-level-3-global569312024-03-04T09:10:27ZThe TROPOMI instrument onboard the Copernicus SENTINEL-5 Precursor satellite is a nadir-viewing, imaging spectrometer that provides global measurements of atmospheric properties and constituents on a daily basis. It is contributing to monitoring air quality and climate, providing critical information to services and decision makers.
The instrument uses passive remote sensing techniques by measuring the top of atmosphere solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum. The operational trace gas products generated at DLR on behave ESA are: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4), together with clouds and aerosol properties.
This product displays the Cloud-Top Height (CTH) around the globe. Clouds play a crucial role in the Earth's climate system and have significant effects on trace gas retrievals. The cloud-top height is retrieved from the O2-A band using the ROCINN algorithm. Daily observations are binned onto a regular latitude-longitude grid.
This product is created in the scope of the project INPULS. It develops (a) innovative retrieval algorithms and processors for the generation of value-added products from the atmospheric Copernicus missions Sentinel-5 Precursor, Sentinel-4, and Sentinel-5, (b) cloud-based (re)processing systems, (c) improved data discovery and access technologies as well as server-side analytics for the users, and (d) data visualization services.Sentinel-5P TROPOMI – Formaldehyde (HCHO), Level 3 – GlobalGerman Aerospace Center (DLR)https://www.govdata.de/web/guest/suchen/-/details/sentinel-5p-tropomi-formaldehyde-hcho-level-3-global6e4df2024-03-04T09:09:21ZThe TROPOMI instrument onboard the Copernicus SENTINEL-5 Precursor satellite is a nadir-viewing, imaging spectrometer that provides global measurements of atmospheric properties and constituents on a daily basis. It is contributing to monitoring air quality and climate, providing critical information to services and decision makers.
The instrument uses passive remote sensing techniques by measuring the top of atmosphere solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum. The operational trace gas products generated at DLR on behave ESA are: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4), together with clouds and aerosol properties.
This product displays the Formaldehyde (HCHO) concentration around the globe. The major HCHO sources are vegetation, fires, traffic and industrial sources. Daily observations are binned onto a regular latitude-longitude grid.
This product is created in the scope of the project INPULS. It develops (a) innovative retrieval algorithms and processors for the generation of value-added products from the atmospheric Copernicus missions Sentinel-5 Precursor, Sentinel-4, and Sentinel-5, (b) cloud-based (re)processing systems, (c) improved data discovery and access technologies as well as server-side analytics for the users, and (d) data visualization services.Zählstellenbereiche von Straßenverkehrszählungen HamburgHMDKLGVhttps://www.govdata.de/web/guest/suchen/-/details/zahlstellenbereiche-von-strassenverkehrszahlungen-hamburg2024-01-15T21:57:35Z<p>Dieser Datensatz enthält die Zählstellenbereiche aller seit dem Jahr 2004 von der Behörde für Wirtschaft, Verkehr und Innovation (BWVI) (seit 2020 "Behörde für Verkehr und Mobilitätswende" BVM) durchgeführten Verkehrszählungen im öffentlichen Straßennetz der Freien und Hansestadt Hamburg.</p>Ruhige Gebiete Hamburg (§ 47d BImSchG)HMDKLGVhttps://www.govdata.de/web/guest/suchen/-/details/ruhige-gebiete-hamburg-47d-bimschgccd202023-11-30T22:21:01Z<p>Ruhige Gebiete (§ 47d BImSchG)
- Abwägungsrelevant bei Bauleitverfahren nach Baugesetzbuch und Planverfahren nach sonstigem Planrecht
- Allgemein zugängliche Flächen mit einer geringen Lärmbelastung
- Gewichteter, mittlerer Tageslärmpegel LDen < 50 dB(A) (jeweils betrachtet für Straßen-, Schienen- und Flugverkehr)
- Mindestgröße 50 ha</p>INSPIRE HH Verkehrsnetze ALKISHMDKLGVhttps://www.govdata.de/web/guest/suchen/-/details/inspire-hh-verkehrsnetze-alkisc35d92023-11-17T22:05:24Z<p>Mit diesem Datensatz werden die Hamburger Verkehrsnetze (Straße, Schiene, Luft und Wasser) aus ALKIS, transformiert in das INSPIRE-Zielmodell bereitgestellt.
Basis für ALKIS® ist ein von der Arbeitsgemeinschaft der Vermessungsverwaltungen der Länder der Bundesrepublik Deutschland (AdV) entwickeltes Fachkonzept zur Führung aller Basisdaten des amtlichen Vermessungswesens.</p>INSPIRE HH Verkehrsnetze ATKIS Basis-DLMHMDKLGVhttps://www.govdata.de/web/guest/suchen/-/details/inspire-hh-verkehrsnetze-atkis-basis-dlm2023-11-17T22:05:11Z<p>In diesem Datensatz sind die Hamburger Verkehrsnetze: Straße, Schiene, Luft und Wasser aus dem ATKIS Basis-DLM Quellmodell enthalten und im INSPIRE-Zielmodell dargestellt.
ATKIS® steht für Amtliches Topographisch-Kartographisches Informationssystem und ist als Gemeinschaftsprojekt der Arbeitsgemeinschaft der Vermessungsverwaltungen der Länder der Bundesrepublik Deutschland (AdV) konzipiert worden.</p>INSPIRE HH Verkehrsnetze HH-SIBHMDKLGVhttps://www.govdata.de/web/guest/suchen/-/details/inspire-hh-verkehrsnetze-hh-sib2023-11-17T20:46:41Z<p>Mit diesem Datensatz werden die Hamburger Verkehrsnetze aus der HH-SIB, transformiert in das INSPIRE-Zielmodell bereitgestellt.</p>Burnt Area Daily NRT Incremental Product - Sentinel-3 - EuropeGerman Aerospace Center (DLR)https://www.govdata.de/web/guest/suchen/-/details/burnt-area-daily-nrt-incremental-product-sentinel-3-europe2023-01-18T13:52:47ZThe product is automatically derived from Sentinel-3 (OLCI) satellite imagery in near-real time. It is an incremental product, meaning that the retrieved results are updated as soon as new input data becomes available over a timespan of ten days. Besides the fire perimeter, and detection time each feature contains information about the severity of the burning.Burnt Area Yearly Product - Sentinel-3 - EuropeGerman Aerospace Center (DLR)https://www.govdata.de/web/guest/suchen/-/details/burnt-area-yearly-product-sentinel-3-europe2023-01-18T13:52:41ZThis data set represents the yearly, accumulated results of the final (10-day) version of the fire perimeters from the "Burnt Area Daily NRT Incremental Product - Europe, Sentinel-3" dataset. The burn perimeters are spatially and temporally correlated, so that interrelated detections from consecutive observations are combined into a single feature.
A perimeter is interpreted as belonging to a given event if a spatial overlap exists within a time frame of 15 days. Besides the geometry, attribute information is also combined while considering the size of the perimeter as a weighting factor.
Each feature contains information about the final fire perimeter, Date/Time of the first detection, and the averaged burn severityBurnt Area Daily NRT Incremental Product - MODIS - EuropeGerman Aerospace Center (DLR)https://www.govdata.de/web/guest/suchen/-/details/burnt-area-daily-nrt-incremental-product-modis-europe2023-01-18T13:52:15ZThe product is automatically derived from Aqua/Terra (MODIS) satellite imagery in near-real time. It is an incremental product, meaning that the retrieved results are updated as soon as new input data becomes available over a timespan of ten days. Besides the fire perimeter and detection time, each feature contains information about the severity of the burning.Burnt Area Monthly Product - Sentinel-3 - EuropeGerman Aerospace Center (DLR)https://www.govdata.de/web/guest/suchen/-/details/burnt-area-monthly-product-sentinel-3-europec264d2023-01-18T13:52:03ZThis data set represents the monthly, accumulated results of the final (10-day) version of the fire perimeters from the "Burnt Area Daily NRT Incremental Product - Europe, Sentinel-3" dataset.
The burn perimeters are spatially and temporally correlated, so that interrelated detections from consecutive observations are combined into a single feature.
A perimeter is interpreted as belonging to a given event if a spatial overlap exists within a time frame of 15 days. Besides the geometry, attribute information is also combined while considering the size of the perimeter as a weighting factor.
Each feature contains information about the final fire perimeter, Date/Time of the first detection, and the averaged burn severity.Global SnowPack - MODIS - YearlyDFD-LAXhttps://www.govdata.de/web/guest/suchen/-/details/global-snowpack-modis-yearly2023-01-18T13:51:47ZThis product shows the snow cover duration for a hydrological year. Its beginning differs from the calendar year, since some of the precipitation that falls in late autumn and winter falls as snow and only drains away when the snow melts in the following spring or summer. The meteorological seasons are used for subdivision and the hydrological year begins in autumn and ends in summer. The snow cover duration is made available for three time periods: the snow cover duration for the entire hydrological year (SCD), the early snow cover duration (SCDE), which extends from autumn to midwinter (), and the late snow cover duration (SCDL), which in turn extends over the period from mid-winter to the end of summer. For the northern hemisphere SCD lasts from September 1st to August 31st, for the southern hemisphere it lasts from March 1st to February 28th/29th. The SCDE lasts from September 1st to January 14th in the northern hemisphere and from March 1st to July 14th in the southern hemisphere. The SCDL lasts from January 15th to August 31st in the northern hemisphere and from July 15th to February 28th/29th in the southern hemisphere.
The “Global SnowPack” is derived from daily, operational MODIS snow cover product for each day since February 2000. Data gaps due to polar night and cloud cover are filled in several processing steps, which provides a unique global data set characterized by its high accuracy, spatial resolution of 500 meters and continuous future expansion. It consists of the two main elements daily snow cover extent (SCE) and seasonal snow cover duration (SCD; full and for early and late season). Both parameters have been designated by the WMO as essential climate variables, the accurate determination of which is important in order to be able to record the effects of climate change. Changes in the largest part of the cryosphere in terms of area have drastic effects on people and the environment.
For more information please also refer to:
Dietz, A.J., Kuenzer, C., Conrad, C., 2013. Snow-cover variability in central Asia between 2000 and 2011 derived from improved MODIS daily snow-cover products. International Journal of Remote Sensing 34, 3879–3902. https://doi.org/10.1080/01431161.2013.767480
Dietz, A.J., Kuenzer, C., Dech, S., 2015. Global SnowPack: a new set of snow cover parameters for studying status and dynamics of the planetary snow cover extent. Remote Sensing Letters 6, 844–853. https://doi.org/10.1080/2150704X.2015.1084551
Dietz, A.J., Wohner, C., Kuenzer, C., 2012. European Snow Cover Characteristics between 2000 and 2011 Derived from Improved MODIS Daily Snow Cover Products. Remote Sensing 4. https://doi.org/10.3390/rs4082432
Dietz, J.A., Conrad, C., Kuenzer, C., Gesell, G., Dech, S., 2014. Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data. Remote Sensing 6. https://doi.org/10.3390/rs61212752
Rößler, S., Witt, M.S., Ikonen, J., Brown, I.A., Dietz, A.J., 2021. Remote Sensing of Snow Cover Variability and Its Influence on the Runoff of Sápmi’s Rivers. Geosciences 11, 130. https://doi.org/10.3390/geosciences11030130