Supporting global environmental change research: A review of trends and knowledge gaps in urban remote sensing
This paper reviews how remotely sensed data have been used to understand the impact of
urbanization on global environmental change. We describe how these studies can support …
urbanization on global environmental change. We describe how these studies can support …
A review of the use of examples for automating architectural design tasks
NO Sönmez - Computer-Aided Design, 2018 - Elsevier
Abstract Recent Artificial Intelligence studies have achieved substantial improvements in
practical tasks by using extensive amounts of data. We assume that a substantial part of the …
practical tasks by using extensive amounts of data. We assume that a substantial part of the …
Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution
Landuse characterization is important for urban planning. It is traditionally performed with
field surveys or manual photo interpretation, two practices that are time-consuming and …
field surveys or manual photo interpretation, two practices that are time-consuming and …
Generating 3D city models without elevation data
Elevation datasets (eg point clouds) are an essential but often unavailable ingredient for the
construction of 3D city models. We investigate in this paper to what extent can 3D city …
construction of 3D city models. We investigate in this paper to what extent can 3D city …
Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks
J Rosentreter, R Hagensieker, B Waske - Remote Sensing of Environment, 2020 - Elsevier
In recent years, the concept of Local Climate Zones (LCZs) has become a new standard in
the research of urban landscapes. LCZs outline a classification scheme, which is designed …
the research of urban landscapes. LCZs outline a classification scheme, which is designed …
Detection of urban expansion and land surface temperature change using multi-temporal landsat images
Rapid urbanization in China has attracted the attention of researchers from different
countries and regions due to its potential influence on the environment and local climate. In …
countries and regions due to its potential influence on the environment and local climate. In …
Building type classification using spatial and landscape attributes derived from LiDAR remote sensing data
Building information is one of the key elements for a range of urban planning and
management practices. In this study, an investigation was performed to classify buildings …
management practices. In this study, an investigation was performed to classify buildings …
Land system architecture: Using land systems to adapt and mitigate global environmental change
Land systems (mosaics of land use and cover) are human environment systems, the
changes in which drive and respond to local to global environmental changes, climate to …
changes in which drive and respond to local to global environmental changes, climate to …
[HTML][HTML] Using locative social media and urban cartographies to identify and locate successful urban plazas
Locative social media networks as open sources of data allow researchers and
professionals to acknowledge which city places are preferred, used and livable. Following …
professionals to acknowledge which city places are preferred, used and livable. Following …
Abandoned rural residential land: Using machine learning techniques to identify rural residential land vulnerable to be abandoned in mountainous areas
Rural residential land has been increasingly abandoned in China given the rapid and
massive rural-to-urban migration. From the aspect of land-use planning and policy making, it …
massive rural-to-urban migration. From the aspect of land-use planning and policy making, it …