Analysis of 2D/3D Urban Density Indices in Context of Land Surface Temperature

Baumgart, Caroline and Berger, Christian (2015) Analysis of 2D/3D Urban Density Indices in Context of Land Surface Temperature. REAL CORP 2015. PLAN TOGETHER – RIGHT NOW – OVERALL. From Vision to Reality for Vibrant Cities and Regions. Proceedings of 20th International Conference on Urban Planning, Regional Development and Information Society. pp. 729-734.

Text (Analysis of 2D/3D Urban Density Indices in Context of Land Surface Temperature)
CORP2015_108.pdf - Published Version

Download (237kB) | Preview
Official URL:


Cities worldwide cover only 2 % of earth`s surface but spend almost 75 % of the world`s energy resources (Gago et al. 2013). The emission of heat and the structure of built-up areas can increase the phenomenon of urban heat islands (UHI), which highly infects the well-being of all inhabitants. Future work will focus on monitoring capabilities to manage the development of urban settlements. The study investigates the relationship between urban density indices and land surface temperature (LST) using multi-sensor remote sensing data. All processing steps are performed for the City of Cologne, Germany. The input data are consisting of high resolution multi-spectral Ikonos imagery, as well as an object height model, derived from Light Detection And Ranging (LiDAR) data and thermal information, provided by the Landsat 7 satellite mission. The first working step, the derivation of six land cover (LC) classes, is based on a geographic object based image analysis (GEOBIA) approach. Therefore, LiDAR and pan-sharped Ikonos data with a spatial resolution of one meter are used. In a second step, and based on the extracted LC and object height information, existing and new measures of urban density are computed, that take into account the horizontal and/or vertical characteristics of a city. All measures are separated into single object related and area related indices, depending on the basis of calculation. The significance of different Areas of Interests (AOI) are analyzed and compared for area related indices. Finally, the correlation between multi-temporal LST data, derived from Landsat Enhanced Thematic Mapper (ETM+), and each indicator is calculated with regard to their dependency on the predominant type of urban land use (LU) and the acquisition date (season) of the Landsat ETM+ data.

Item Type: Article
Uncontrolled Keywords: urban density, remote sensing, geographic object, image analysis, land surface temperature
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
H Social Sciences > HD Industries. Land use. Labor
Q Science > QA Mathematics > QA76 Computer software
Depositing User: REAL CORP Administrator
Date Deposited: 21 Mar 2016 14:04
Last Modified: 21 Mar 2016 14:04

Actions (login required)

View Item View Item