Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1080/10106049.2018.1524514
Volltext Akzeptiertes Manuskript
Titel (primär) Mapping urban grey and green structures for liveable cities using a 3D enhanced OBIA approach and vital statistics
Autor Banzhaf, E.; Kollai, H. ORCID logo ; Kindler, A.
Quelle Geocarto International
Erscheinungsjahr 2020
Department SUSOZ; BIOENERGIE
Band/Volume 35
Heft 6
Seite von 623
Seite bis 640
Sprache englisch
Daten-/Softwarelinks https://doi.org/10.1594/PANGAEA.895391
Keywords Object-Based Image Analysis (OBIA); urban remote sensing; urban structure types; image segmentation; human health and well-being
UFZ Querschnittsthemen TERENO;
Abstract Mapping urban structures is a vital prerequisite for urban planners to enhance their database for a liveable city dedicated to sustainable development. Therefore, it is significant to measure urban grey and green structures at the scale of local districts to understand the urban structure and residential needs for urban ecosystem services. For a detailed analysis we exploit digital orthophotos (DOP), LiDAR data, and vital statistics. We use remote sensing techniques to create an Object-based Image Analysis (OBIA) that differentiates grey and green structures with high precision and at refined scale. This spatial information is linked with allocated population and health-related indicators to identify built-up types with highest population densities and local districts with deficits in the provision of different green structures. Our results show the share of built-up structures and the contribution of green structures to urban ecosystem services, human health and well-being at local district level.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=21433
Banzhaf, E., Kollai, H., Kindler, A. (2020):
Mapping urban grey and green structures for liveable cities using a 3D enhanced OBIA approach and vital statistics
Geocarto Int. 35 (6), 623 - 640 10.1080/10106049.2018.1524514