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Green Roof Inventory and Potential Analysis

Zeidler, Julian and Esch, Thomas and Ansel, Wolfgang (2015) Green Roof Inventory and Potential Analysis. BAU 2015 - World's Leading Trade Fair for Architecture, Materials and Systems, 2015-01-19 - 2015-01-24, München.

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Abstract

The new remote sensing technology for the identification of already existing Green Roofs and potential Green Roof sites provides municipalities with the opportunity to use this data for sustainable urban planning decisions in the field of urban climate modelling, drainage system calculation and biodiversity networks. Furthermore, this technology is carried out automatically - which is a great asset with respect to current approaches based on photointerpretation or even in situ surveys by experts – once provided with new suitable imagery, it allows easy and straightforward updates.

Item URL in elib:https://elib.dlr.de/99732/
Document Type:Conference or Workshop Item (Poster)
Title:Green Roof Inventory and Potential Analysis
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Zeidler, JulianUNSPECIFIEDhttps://orcid.org/0000-0001-9444-2296UNSPECIFIED
Esch, ThomasUNSPECIFIEDhttps://orcid.org/0000-0002-5868-9045UNSPECIFIED
Ansel, WolfgangDeutscher Dachgärtner Verband e.V.UNSPECIFIEDUNSPECIFIED
Date:2015
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:gründach detection potentialanalyse
Event Title:BAU 2015 - World's Leading Trade Fair for Architecture, Materials and Systems
Event Location:München
Event Type:international Conference
Event Start Date:19 January 2015
Event End Date:24 January 2015
Organizer:Messe München GmbH
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Zeidler, Julian
Deposited On:03 Dec 2015 13:51
Last Modified:24 Apr 2024 20:05

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