2021
Chen, Shanshan; Haase, Dagmar; Xue, Bing; Wellmann, Thilo; Qureshi, Salman
Integrating Quantity and Quality to Assess Urban Green Space Improvement in the Compact City Journal Article
In: Land, 2021.
Abstract | Links | BibTeX | Tags: Berlin, Greening City, Land surfacae temperature, Landsat, Public engagement, Remote Sensing, Urban governance
@article{Thilo_Wellmann_104658268,
title = {Integrating Quantity and Quality to Assess Urban Green Space Improvement in the Compact City},
author = {Shanshan Chen and Dagmar Haase and Bing Xue and Thilo Wellmann and Salman Qureshi},
url = {http://doi.org/10.3390/land10121367},
doi = {10.3390/land10121367},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Land},
abstract = {Urban green space (UGS) has gained much attention in terms of urban ecosystems and human health. Measures to improve green space in compact cities are important for urban sustainability. However, there is a knowledge gap between UGS improvement and planning management. Based on the integration of quantity and quality, this research aims to identify UGS changes during urban development and suggest ways to improve green space. We analyse land use changes, conduct a hotspot analysis of land surface temperature (LST) between 2005 and 2015 at the city scale, and examine the changes in small, medium and large patches at the neighbourhood scale to guide decision-makers in UGS management. The results show that (i) the redevelopment of urban brownfields is an effective method for increasing quantity, with differences depending on regional functions; (ii) small, medium and large patches of green space have significance in terms of improving the quality of temperature mitigation, with apparent coldspot clustering from 2005 to 2015; and (iii) the integration of UGS quality and quantity in planning management is beneficial to green space sustainability. Green space improvement needs to emphasize the integration of UGS quantity and quality to accommodate targeted planning for local conditions.},
keywords = {Berlin, Greening City, Land surfacae temperature, Landsat, Public engagement, Remote Sensing, Urban governance},
pubstate = {published},
tppubtype = {article}
}
Lessel, Tilia; Wellmann, Thilo
Umweltgerechtigkeit aus bürgerschaftlicher Perspektive: Handlungsempfehlung am Beispiel Berlin-Schöneberg Journal Article
In: Stadt+Grün, vol. 01, 2021.
Abstract | Links | BibTeX | Tags: Berlin, Climate Change, Climate Change Adaptation, Environmental justice, Urban development, Urban green infrastructure, Urban planning
@article{Thilo_Wellmann_107218183,
title = {Umweltgerechtigkeit aus bürgerschaftlicher Perspektive: Handlungsempfehlung am Beispiel Berlin-Schöneberg},
author = {Tilia Lessel and Thilo Wellmann},
url = {https://stadtundgruen.de/artikel/umweltgerechtigkeit-aus-buergerschaftlicher-perspektive-15076.html},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Stadt+Grün},
volume = {01},
abstract = {Städte sind für die Umsetzung von Umweltgerechtigkeit von zentraler Bedeutung. Rund drei Viertel der EuropäerInnen leben in urbanen Räumen, so dass Fragen von Gerechtigkeit und Zugang zu Umweltqualitäten besonders hier entschieden werden. Zudem schaffen Städte durch ihre Baumasse Wärme- und Trockeninseln und damit ein besonders extremes, umwelt- und gesundheitsbelastendes Lokalklima. Vor diesem Hintergrund ist absehbar, dass die Effekte des Klimawandels die Städte besonders betreffen.},
keywords = {Berlin, Climate Change, Climate Change Adaptation, Environmental justice, Urban development, Urban green infrastructure, Urban planning},
pubstate = {published},
tppubtype = {article}
}
2020
Wellmann, Thilo; Schug, Franz; Haase, Dagmar; Pflugmacher, Dirk; Linden, Sebastian
Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series Journal Article
In: Landscape and Urban Planning, 2020, ISSN: 0169-2046.
Abstract | Links | BibTeX | Tags: Berlin, Compact vs. Dispersed developments, Earth observation, Greening City, Landsat, Machine learning, Unmixing, Urban planning
@article{Thilo_Wellmann_75416790,
title = {Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series},
author = {Thilo Wellmann and Franz Schug and Dagmar Haase and Dirk Pflugmacher and Sebastian Linden},
url = {https://thilowellmann.de/wp/wp-content/uploads/2020/06/WellmannEtAl_GreenGrowth_AcceptedManuscript.pdf},
doi = {10.1016/j.landurbplan.2020.103857},
issn = {0169-2046},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
journal = {Landscape and Urban Planning},
abstract = {Both compact and dispersed green cities are considered sustainable urban forms, yet some developments accompanied with these planning paradigms seem problematic in times of urban growth. A compact city might lose urban green spaces due to infill and a dispersed-green city might lose green in its outskirts through suburbanisation. To study these storylines, we introduce an operationalised concept of contrasting changes in population density (shrinkage or growth) with vegetation density (sealing or greening) over time. These trends are ascribed to different land use classes and single urban development projects, to quantify threads and pathways for urban green in a densifying city. We mapped the development in vegetation density over 30 years as subpixel fractions based on a Landsat remote sensing time series (for 2015: MAE 0.12). The case study city Berlin, Germany, developed into a city that is both gaining in vegetation–greening–and population–growing–in recent years but featured highly diverse trends for both compact and green city districts before that. Pathways to achieve a greening-growing scenario in a compact city include green roofs, brownfield and industrial revitalisation, and bioswales in predominantly green city districts. A threat for compact cities pose infill developments without greening measures. A threat for dispersed-green cities is microsealing in private residential gardens–gravel gardens–or car parking infrastructure. We conclude that neither a compact nor a dispersed-green city form concept logically leads to a development towards more environmental quality–here vegetation density–in times of densification but rather context specific urban planning.},
keywords = {Berlin, Compact vs. Dispersed developments, Earth observation, Greening City, Landsat, Machine learning, Unmixing, Urban planning},
pubstate = {published},
tppubtype = {article}
}