City-descriptive input data for urban climate models: Model requirements, data sources and challenges

V Masson, W Heldens, E Bocher, M Bonhomme… - Urban Climate, 2020 - Elsevier
Cities are particularly vulnerable to meteorological hazards because of the concentration of
population, goods, capital stock and infrastructure. Urban climate services require multi …

Leveraging big data in smart cities: A systematic review

Y Karimi, M Haghi Kashani, M Akbari… - Concurrency and …, 2021 - Wiley Online Library
Recently, the notion of a smart city, which includes smart well‐being, smart transit, and smart
society, has attracted much attention due to its impact on people's quality of living. Data in …

[HTML][HTML] World Settlement Footprint 3D-A first three-dimensional survey of the global building stock

T Esch, E Brzoska, S Dech, B Leutner… - Remote sensing of …, 2022 - Elsevier
Settlements, and in particular cities, are at the center of key future challenges related to
global change and sustainable development. Widely used indicators to assess the efficiency …

Outlining where humans live, the World Settlement Footprint 2015

M Marconcini, A Metz-Marconcini, S Üreyen… - Scientific Data, 2020 - nature.com
Human settlements are the cause and consequence of most environmental and societal
changes on Earth; however, their location and extent is still under debate. We provide here a …

[HTML][HTML] A global analysis of multifaceted urbanization patterns using Earth Observation data from 1975 to 2015

Y Tian, NE Tsendbazar, E van Leeuwen… - Landscape and Urban …, 2022 - Elsevier
Urbanization as a global phenomenon is a multifaceted process. Here we do the first global
attempt to characterize the complexity of urbanization from 1975 to 2015 in terms of …

Remote sensing and geospatial technologies in support of a normative land system science: Status and prospects

J Dong, G Metternicht, P Hostert, R Fensholt… - Current Opinion in …, 2019 - Elsevier
Highlights•Remote sensing and geospatial technologies are relevant to the engagement of
Land System Science (LSS) with normative (eg research and policy) goals.•Remote sensing …

[HTML][HTML] Estimating generalized measures of local neighbourhood context from multispectral satellite images using a convolutional neural network

A Singleton, D Arribas-Bel, J Murray… - … , Environment and Urban …, 2022 - Elsevier
The increased availability of high-resolution multispectral imagery captured by remote
sensing platforms provides new opportunities for the characterisation and differentiation of …

Spatial patterns of urbanising landscapes in the North Indian Punjab show features predicted by fractal theory

TT Nguyen, E Hoffmann, A Buerkert - Scientific reports, 2022 - nature.com
Understanding and governing human settlement patterns is a major challenge of the urban
age. While rural settlements emerge as parts of agricultural landscapes, cities typically …

[HTML][HTML] Towards a large-scale 3D modeling of the built environment—joint analysis of TanDEM-X, Sentinel-2 and open street map data

T Esch, J Zeidler, D Palacios-Lopez, M Marconcini… - Remote Sensing, 2020 - mdpi.com
Continental to global scale map** of the human settlement extent based on earth
observation satellite data has made considerable progress. Nevertheless, the current …