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Martin Schorcht

Biographic Data

ID9532617
NAMEMartin Schorcht
GIVEN NAMESMartin
FAMILY NAMESchorcht
SIGNATURESCHORCHT M
AFFILIATIONSLeibniz Institute of Ecological Urban and Regional Development
ORCID0000-0002-9898-2975
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Comparative Study on Matching Methods for the Distinction of Building Modifications and Replacements Based on Multi-Temporal Building Footprint Data

    Open Access•Martin Schorcht, Robert Hecht et al.•ARTICLE•ISPRS International Journal of…•2022

    We compare different matching methods for distinguishing building modifications from replacements based on multi-temporal building footprint geometries from 3D city models. Manually referenced footprints of building changes were used to determine which thresholds are suitable for distinction. In addition, since the underlying LoD1 (Level of Detail 1) data is highly accurate, randomly generated position deviations were added to allow for transfera…

  • Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions

    Open Access•Christina Ludwig, Robert Hecht et al.•ARTICLE•ISPRS International Journal of…•2021

    Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets, the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its s…

  • Densification in suburban Germany

    Mathias Jehling, Martin Schorcht et al.•ARTICLE•Town Planning Review•2020

    In many countries, densification is a central goal of land policies to promote sustainable development. However, while these policies intervene in existing built-up structures and thus affect diverse and complex arrangements of property rights, it remains unclear how they are applied by actors. We argue that an explicit normative point of view is required to better understand this application. To this end, we measure densification in space and in…

No prominent works on this page.

  • Densification in suburban Germany

    Mathias Jehling, Martin Schorcht et al.•ARTICLE•Town Planning Review•2020

    In many countries, densification is a central goal of land policies to promote sustainable development. However, while these policies intervene in existing built-up structures and thus affect diverse and complex arrangements of property rights, it remains unclear how they are applied by actors. We argue that an explicit normative point of view is required to better understand this application. To this end, we measure densification in space and in…

  • Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions

    Open Access•Christina Ludwig, Robert Hecht et al.•ARTICLE•ISPRS International Journal of…•2021

    Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets, the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its s…

  • Comparative Study on Matching Methods for the Distinction of Building Modifications and Replacements Based on Multi-Temporal Building Footprint Data

    Open Access•Martin Schorcht, Robert Hecht et al.•ARTICLE•ISPRS International Journal of…•2022

    We compare different matching methods for distinguishing building modifications from replacements based on multi-temporal building footprint geometries from 3D city models. Manually referenced footprints of building changes were used to determine which thresholds are suitable for distinction. In addition, since the underlying LoD1 (Level of Detail 1) data is highly accurate, randomly generated position deviations were added to allow for transfera…

Computer Science (3 works) · Engineering (3 works) · Geography (3 works) · Civil engineering (2 works) · Land Use and Ecosystem Services (2 works) · 3D Modeling in Geospatial Applications (1 work) · Algorithm (1 work) · Architectural engineering (1 work) · Artificial Intelligence (1 work) · Automated Road and Building Extraction (1 work)

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