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Mapping Europe into local climate zones.

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TLDR
A European database that has a particular focus on characterising urbanised landscapes is presented, derived using tools and techniques developed as part of the WUDAPT project, which has the goal of acquiring and disseminating climate-relevant information on cities worldwide.
Abstract
Cities are major drivers of environmental change at all scales and are especially at risk from the ensuing effects, which include poor air quality, flooding and heat waves. Typically, these issues are studied on a city-by-city basis owing to the spatial complexity of built landscapes, local topography and emission patterns. However, to ensure knowledge sharing and to integrate local-scale processes with regional and global scale modelling initiatives, there is a pressing need for a world-wide database on cities that is suited for environmental studies. In this paper we present a European database that has a particular focus on characterising urbanised landscapes. It has been derived using tools and techniques developed as part of the World Urban Database and Access Portal Tools (WUDAPT) project, which has the goal of acquiring and disseminating climate-relevant information on cities worldwide. The European map is the first major step toward creating a global database on cities that can be integrated with existing topographic and natural land-cover databases to support modelling initiatives.

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Urban form and composition of street canyons: A human-centric big data and deep learning approach

TL;DR: An innovative big data approach to derive street-level morphology and urban feature composition as experienced by a pedestrian from Google Street View (GSV) imagery is developed and constitutes an important step towards building a global morphological database to describe the form and composition of cities from a human-centric perspective.
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Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data

TL;DR: In this paper, the authors assessed the efficacy of mapping hyperlocal ambient air temperatures (Tair) over Oslo, Norway, by integrating Sentinel, Landsat and LiDAR data with crowd-sourced Tair measurements from 1310 private weather stations during 2018.
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So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [Software and Data Sets]

TL;DR: This work provides open access to a valuable benchmark data set, So2Sat LCZ42, which consists of local-climate-zone labels of approximately half a million Sentinel-1 and Sentinel-2 image patches in 42 urban agglomerations across the globe.
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Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change

TL;DR: Drafting Authors: Neil Adger, Pramod Aggarwal, Shardul Agrawala, Joseph Alcamo, Abdelkader Allali, Oleg Anisimov, Nigel Arnell, Michel Boko, Osvaldo Canziani, Timothy Carter, Gino Casassa, Ulisses Confalonieri, Rex Victor Cruz, Edmundo de Alba Alcaraz, William Easterling, Christopher Field, Andreas Fischlin, Blair Fitzharris.
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Google Earth Engine: Planetary-scale geospatial analysis for everyone

TL;DR: Google Earth Engine is a cloud-based platform for planetary-scale geospatial analysis that brings Google's massive computational capabilities to bear on a variety of high-impact societal issues including deforestation, drought, disaster, disease, food security, water management, climate monitoring and environmental protection.
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