Gotthard Meinel
Biographic Data
| ID | 6746528 |
|---|---|
| NAME | Gotthard Meinel |
| GIVEN NAMES | Gotthard |
| FAMILY NAME | Meinel |
| SIGNATURE | MEINEL G |
| AFFILIATIONS | Leibniz Institute of Ecological Urban and Regional Development |
| ORCID | 0000-0002-9201-7664 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Prediction of residential and non-residential building usage in Germany based on a novel nationwide reference data set
Building usage is an important variable in modelling the energetic, material and social properties of a building stock. Gathering this data on large geographical scale, and in the necessary temporal and spatial resolution, that means, on building level, is a challenging task. Machine Learning algorithms like Random Forest have proven useful in predicting building-related features in the past but often resort to training sets of limited geographic…
Ioer Monitor
This paper gives a comprehensive introduction to the IOER Monitor – an open research data infrastructure (RDI) in Germany providing domain-specific multi-temporal geospatial datasets, services and visualizations for land use and land cover (LULC)-related development of settlements and open space and closely related topics. Its easy-to-use information system provides multi-scale data offers to form a discussion platform that supports spatial devel…
Comparative Study on Matching Methods for the Distinction of Building Modifications and Replacements Based on Multi-Temporal Building Footprint Data
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…
Automatic Delineation of Urban Growth Boundaries Based on Topographic Data Using Germany as a Case Study
Urban Growth Boundary (UGB) is a growth management policy that designates specific areas where growth should be concentrated in order to avoid urban sprawl. The objective of such a boundary is to protect agricultural land, open spaces and the natural environment, as well as to use existing infrastructure and public services more efficiently. Due to the inherent heterogeneity and complexity of settlements, UGBs in Germany are currently created man…
Urban infill development potential in Germany
Limiting land take is an important sustainability target. To this end, infill development is a primary strategy. To implement this strategy, policy-makers need a reliable knowledge base on infill development potential (IDP), such as brownfields, vacant lots and underused lots. This study presents the results of the first comprehensive national survey of IDP in Germany. Almost 12% of German municipalities were contacted by questionnaire. In contra…
How smart growth and green infrastructure can mutually support each other — A conceptual framework for compact and green cities
Using quadtree representations in building stock visualization and analysis
Land-use monitoring by topographic data analysis
The rate of land consumption is an important factor to be considered within policies on sustainable land use aiming to reduce demand for settlement and traffic areas. As an expression of the political intent to achieve sustainable development, the German government announced to reduce the consumption of open space for settlement or transportation infrastructure significantly by 2020. Progress toward such specific goals can, of course, only be mon…
Land-use monitoring by topographic data analysis
The rate of land consumption is an important factor to be considered within policies on sustainable land use aiming to reduce demand for settlement and traffic areas. As an expression of the political intent to achieve sustainable development, the German government announced to reduce the consumption of open space for settlement or transportation infrastructure significantly by 2020. Progress toward such specific goals can, of course, only be mon…
Using quadtree representations in building stock visualization and analysis
Land-use monitoring by topographic data analysis
The rate of land consumption is an important factor to be considered within policies on sustainable land use aiming to reduce demand for settlement and traffic areas. As an expression of the political intent to achieve sustainable development, the German government announced to reduce the consumption of open space for settlement or transportation infrastructure significantly by 2020. Progress toward such specific goals can, of course, only be mon…
How smart growth and green infrastructure can mutually support each other — A conceptual framework for compact and green cities
Automatic Delineation of Urban Growth Boundaries Based on Topographic Data Using Germany as a Case Study
Urban Growth Boundary (UGB) is a growth management policy that designates specific areas where growth should be concentrated in order to avoid urban sprawl. The objective of such a boundary is to protect agricultural land, open spaces and the natural environment, as well as to use existing infrastructure and public services more efficiently. Due to the inherent heterogeneity and complexity of settlements, UGBs in Germany are currently created man…
Urban infill development potential in Germany
Limiting land take is an important sustainability target. To this end, infill development is a primary strategy. To implement this strategy, policy-makers need a reliable knowledge base on infill development potential (IDP), such as brownfields, vacant lots and underused lots. This study presents the results of the first comprehensive national survey of IDP in Germany. Almost 12% of German municipalities were contacted by questionnaire. In contra…
Ioer Monitor
This paper gives a comprehensive introduction to the IOER Monitor – an open research data infrastructure (RDI) in Germany providing domain-specific multi-temporal geospatial datasets, services and visualizations for land use and land cover (LULC)-related development of settlements and open space and closely related topics. Its easy-to-use information system provides multi-scale data offers to form a discussion platform that supports spatial devel…
Comparative Study on Matching Methods for the Distinction of Building Modifications and Replacements Based on Multi-Temporal Building Footprint Data
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…
Prediction of residential and non-residential building usage in Germany based on a novel nationwide reference data set
Building usage is an important variable in modelling the energetic, material and social properties of a building stock. Gathering this data on large geographical scale, and in the necessary temporal and spatial resolution, that means, on building level, is a challenging task. Machine Learning algorithms like Random Forest have proven useful in predicting building-related features in the past but often resort to training sets of limited geographic…
Computer Science (8 works) · Geography (7 works) · Engineering (6 works) · Land Use and Ecosystem Services (5 works) · Cartography (4 works) · Civil engineering (4 works) · Data mining (4 works) · Environmental planning (4 works) · 3D Modeling in Geospatial Applications (3 works) · Business (3 works)