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- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken accessRights PUBLIC @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken description "Beschreibung Green Roofs sind Baudächer, die teilweise oder vollständig mit Vegetation bedeckt sind. Sie absorbieren Regenwasser, sorgen für Wärmedämmung und verringern die Luftverschmutzung. In diesem Zusammenhang hat die Identifizierung von grünen Dächern zu einem Anstieg der Einfuhren geführt und stellt das Ziel der erbrachten Dienstleistung dar. Darüber hinaus wird diese Aufgabe automatisch durchgeführt – was im Hinblick auf aktuelle Ansätze auf der Grundlage von Fotointerpretation oder sogar In-situ-Befragungen durch Experten von großem Vorteil ist – und ermöglicht die Wiederherstellung von Zweckmäßigkeit und eine strikte Forward-Aktualisierung, sobald neue identifizierbare Bilder vorliegen. Eingabedaten VHR VIS + IR-Bilder [entweder luftgetragene (bevorzugte) oder Satelliten), LOD2-Modell oder DSM/LIDAR-Daten, Building Outlines Methodology Given VHR-Satelliten-/Luft-VIS- und IR-Bilder, die Gebäudelinien und Informationen über die Höhe von LIDAR/DSM; wir schätzen den prozentualen Anteil der begrünten Flächen an den Gebäudedächern, indem wir den Tndvi-Index berechnen und bestimmen, wo wir sich in einem begrünten Dach befinden. Als Gruppen der derzeitigen grünen Dächer haben wir am Ende alle Roofs einbezogen, die der oben genannten Hangseinschränkung entsprechen und als „Hauptgebäude“ eingestuft werden und eine Vegetationsbedeckung von mehr als 5 % ihrer Oberfläche aufweisen. Auf der Grundlage einer gründlichen Sichtprüfung, um alle Falschdetektionen aufgrund der intensiven Baumbedeckung auszuschließen, markierten wir schließlich als grün 1139 Dächer. An dieser Stelle sei darauf hingewiesen, dass wir, da es keine einvernehmliche Definition dessen gibt, was als „grüne Jagd“ zu betrachten ist, unsere Kriterien nach den Richtlinien anwenden, die in der Projektsitzung in Antwerpen irgendwie vereinbart wurden. Insbesondere haben wir neben den Dächern, in denen eine Grasschicht oder Bäume installiert wurden, auch all jene Dächer mit gleichbleibendem Vorhandensein von Sendungen oder großen Pflanzungen in die Zählung einbezogen (jedoch wurden diejenigen ausgeschlossen, bei denen – aufgrund unserer Erfahrung – ihre Abdeckung nicht signifikant ausfiel). Sie tragen auch zur Aufnahme von Regenwasser oder zur Verringerung des städtischen Wärmeinseleffekts bei. Bitte beachten Sie auch, dass spontan gesättigte Dächer nur dann als grüne Dächer eingestuft wurden, wenn die Vegetationsschicht eine erhebliche Dicke aufweist. Anwendungen Mapping der derzeitigen grünen Dächer findet breite Unterstützung für eine genauere Art und Weise des Regenwasserabflusses und der Luftverschmutzung. Da es sich um die Einrichtung einer grünen Jagd handelt, die zwingend durch Subventionen unterstützt werden muss, wird eine vorherige Identifizierung ihres Standorts für die Planung einer In-situ-Befragung über ihren tatsächlichen Status von großer Bedeutung sein." @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken description "Beschrijving Green roofs are building roofs partially or completely covered by vegetation. They are absorbing rainwater, providing thermal insulation and reducing air pollution. In this context, the identification of green roofs has great importance and represents the goal of the provided service. Furthermore, this task is carried out automatically - which is a great asset with respect to current approaches based on photointerpretation or even in situ surveys by experts – and allows easy and straightforward update once provided with new suitable imagery. Input data VHR VIS+IR imagery [either airborne (preferably) or satellite], LOD2 model or DSM/Lidar data, building outlines Methodology Given VHR satellite/airborne VIS+IR optical imagery, the building outlines and LIDAR/DSM height information, we estimate the percentage of vegetated areas on the building roofs by computing the NDVI index and determine where we are in the presence of a green roof. As concerns the current green roofs, finally we included all those roofs matching the above-mentioned constraint on the slope which are categorized as “hoofdgebouw” and exhibit a vegetation coverage greater than 5% of their surface. Based on a thorough visual check to exclude all the false detection due to intense tree coverage, we finally marked as green 1139 roofs. Here, it is worth pointing out that, since there is no agreed definition of what is to be considered as green roof, we applied our criteria following the directions that somehow were agreed in the Antwerp project meeting. In particular, in addition to those roofs where a grass layer or trees have been installed, we also included in the count all those roofs with a consistent presence of hedges or big potted plants (but we excluded those where – based on our experience – their coverage did not look significant enough). Indeed, they as well contribute to absorbing rainwater or reducing the urban heat island effect. Please also note that spontaneously vegetated roofs have been categorized as green roofs only in the cases where the vegetation layer looked significantly thick . Applications Mapping current green roofs has high support for a more accurate modeling of stormwater runoff and air pollution. Moreover, being the installation of a green roof usually supported by subsidies, a precise identification of their location will be of great help for planning in-situ survey of their actual status." @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken description "Description Green Roofs are building Roofs partial or complete covered by vegetation. They are absorbing rainwater, providing thermal insulation and reducing air pollution. In this context, the identification of green Roofs has grew imports and represents the goal of the provided service. Furthermore, this task is carried out automatically – which is a great asset with respect to current approaches based on photointerpretation or even in situ surveys by experts – and recovers convenience and strict forward update once provided with new identifiable imagery. Input data VHR VIS + IR imagery [either airborne (preferred) or satellite], LOD2 model or DSM/LIDAR data, building Outlines Methodology Given VHR satellite/airborne VIS + IR optical imagery, the building lines and LIDAR/DSM height information, we estimate the percentage of vegetated areas on the building Roofs by computing the ndvi index and determining where we are in the presence of a green roof. As groups of the current green Roofs, in fine we included all those Roofs matching the above-mentioned constraint on the slope which are classified as ‘main building’ and exhibit a vegetation coverage greater than 5 % of their surface. Based on a thorough visual check to exclude all the false detection due to intense tree coverage, we finally marked as green 1139 Roofs. Here, it is worth pointing out that, since there is no agreed definition of what is to be considered as green grabbing, we apply our criteria following the directives that somehow were agreed in the Antwerp project meeting. In particular, in addition to those Roofs where a grass layer or trees have been installed, we also included in the count all those Roofs with a consistent presence of consignments or big potted plants (but we excluded those where – based on our experience – their coverage did not look significant). Linked, they as well contribute to absorbing rainwater or reducing the urban heat island effect. Please also note that spontaneoused vegetated Roofs have been classified as green Roofs only in the cases where the vegetation layer Looked significant thick. Applications Mapping current green Roofs has high support for a more accurate fashion of stormwater runoff and air pollution. Moreover, be the installation of a green grabbing mandatorily supported by subsidies, a prior identification of their location will be of great help for planning in-situ survey of their actual status." @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken description "Description Green Roofs are building Roofs partially or completely covered by vegetation. They are absorbeing rainwater, providing thermal insulation and reducing air pollution. Dans ce contexte, the identification of green Roofs has great importance and represents the goal of the provided service. Furthermore, this Tasis carried out automatically — which is great asset with respect to current approaches based on photoIntertation or even in situ surveys by experts — and allows easy and straightforward update once provided with new suitable imagery. Entrées VHR VIS + IR imagery [either airborne (preferably) or satellite], LOD2 model or DSM/LIDAR data, building Outlines Methodology Given VHR satellite/airborne VIS + IR optical imagery, the building Outlines and LIDAR/DSM height information, we estimate the pourcentage of vegetated areas on the building Roofs by computing the ndvi index and determine where we are in the presence of a green roof. As concerns the current green Roofs, finally we included all those Roofs matching the above-mentioned constraint on the slope which are catégorized as «bâtiment principal» et exhibit a vegetation coverage greater than 5 % of their surface. Based on a thorough visual check to exclude all the false devivant due to intense tree coverage, we finally marked as green 1139 Roofs. Here, it is worth pointing out that, since there is n’agreed definition of what is to be considéré as green roof, we applied our criteria following the directions that somehow tere agreed in the Antwerp project meeting. In particular, in addition to those Roofs where a grass layer or trees have been installe, we alo included in the count all those Roofs with a constant presence of hedges or big potted plants (but nous excluded those where — based on our experience — their coverage did not look enough). Indeed, they as well contribute to absorbing rainwater or reducing the urban heat island. Please also note that spontaneously vegetated Roofs have been categzed as green Roofs only in the case where the vegetation layer Looked significantly thick. Applications Mapping current green Roofs has high support for a more rirate mopartition of storming water booff and air pollution. Moreover, being the installation of a green roof usually supported by subsidies, a precise identification of their location is be of great help for planning in situ survey of their actual status." @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken identifier "https://www.arcgis.com/home/item.html?id=cb42095c7c5d4a79945ef81317a4920e&sublayer=789" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken issued "2016-11-28T00:00:00" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken language NLD @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken modified "2016-11-28T00:00:00.000Z" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken provenance genid28097 @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken publisher 0207500123 @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken spatial 2803139 @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken spatial 3337388 @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken title "carte inverse des bâtiments avec toitures vertes" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken title "inverse kaart gebouwen met groendaken" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken title "inverse map of buildings with green roofs" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken title "umgekehrte Karte von Gebäuden mit begrünten Dächern" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken type Dataset @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken type Document @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken contactPoint genid28096 @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken distribution d285b3bd51c44c26b14412790fe151b4410-5b75d2343afaee6a @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken distribution d285b3bd51c44c26b14412790fe151b4410-5b75d2343afaee6b @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken distribution d285b3bd51c44c26b14412790fe151b4410-5b75d2343afaee6c @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken distribution d285b3bd51c44c26b14412790fe151b4410-5b75d2343afaee6d @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken distribution d285b3bd51c44c26b14412790fe151b4410-5b75d2343afaee6e @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken distribution d285b3bd51c44c26b14412790fe151b4410-5b75d2343afaee6f @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken keyword "green roofs" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken keyword "groendaken" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken keyword "inverse green roof" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken keyword "inverse green roofs" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken keyword "inverse groendak" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken keyword "inverse groendakken" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken keyword "inversie groendak" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken keyword "inversie groendakken" @default.
- stadAntwerpen::inverse-kaart-gebouwen-met-groendaken landingPage 28349d24-6c72-39d0-9692-667ea112440c @default.