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Dr. Nektarios Chrysoulakis

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Director of Research, Remote Sensing Lab, Institute of Applied and Computational Mathematics, Foundation for Research and Technology Hellas (FORTH), 100 N. Plastira Str., Vassilika Vouton, GR 70013 Heraklion, Greece
Interests: urban physics; urban climate; surface fluxes; urban metabolism; urban resilience; urban planning

Prof. Dr. Eberhard Parlow

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Atmospheric Sciences, Department of Environmental Sciences, University Basel, Basel, Switzerland
Interests: climatology; urban climatology; micro-meteorology; satellite data analysis for urban studies; environmental time-series studies with remote sensing
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Special Issue Information

Dear Colleagues,

Emerging Earth Observation (EO) missions deliver improved data quality, extended coverage, and frequent observations, which are capable of supporting both urban planning activities and urban climate studies by providing the means to estimate the Urban Energy Budget (UEB) and CO₂ emissions on a neighbourhood scale. UEB includes the anthropogenic heat flux (resulting from vehicular emissions, space heating and cooling of buildings, and industrial processing and metabolic heat release by people) and therefore, together with CO₂ flux, reflects the functionality of the city and the metabolism of energy and carbon. Consequently, energy balance and carbon balance are important parameters for urban planning and design that should be taken into account in urban interventions aiming to improve the quality of life in cities. Both urban planning and urban climate communities need spatially disaggregated heat and CO₂ fluxes, on a neighbourhood scale. Such information is practically impossible to derive by in-situ fluxes measurements, whereas the potential of EO to provide heat and CO₂ fluxes on a local scale is not fully exploited. Thus, one of the main challenges facing the urban remote sensing community is the innovative exploitation of EO to support the estimation of UEB spatiotemporal patterns and CO₂ emissions on a local scale. This EO-based approach is expected to advance the current knowledge of the impact of heat and CO₂ fluxes on energy consumption in cities, leading to the development of tools and strategies to mitigate this impact, improving thermal comfort and energy efficiency.

This Special Issue aims to collect new developments and methodologies, best practices and applications of remote sensing towards supporting the estimation of energy, and CO₂ fluxes in urban and peri-urban areas. We welcome submissions that provide the community with the most recent advancements on all relevant aspects of urban remote sensing and urban climatology, including, but not limited to, the following:

Synergistic Analysis of Remote Sensing Observations
Analysis of Time Series of Satellite Observations
Urban Surface Structure, Cover, and Vegetation Dynamics
Urban Surface Temperature and Albedo
EO-based Urban Surface Parameterization Schemes
Urban Radiation Balance
Turbulent Sensible and Latent Heat Fluxes
Heat Storage in the Urban Structures
Urban Anthropogenic Heat Flux
Local Scale Urban Carbon Budget and CO₂ Emissions
Evaluation of EO-derived Energy and Carbon Fluxes
Zoning of Urban Areas Based on Heat and CO₂ Emissions
Contribution of Energy Fluxes to Urban Heat Island Development
Contribution of Energy Fluxes to Heat Stress at Neighbourhood Level
Contribution of UEB and CO₂ Fluxes to Climate Change Mitigation/Adaptation
Monitoring the Effect of Nature-based Solutions on Heat and CO₂ Emissions

Review articles covering one or more of these topics are also welcome.

Dr. Nektarios Chrysoulakis
Prof. Dr. Eberhard Parlow
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

synergistic analysis of remote sensing observations
analysis of time series of satellite observations
urban surface structure, cover, and vegetation dynamics
urban surface temperature and Albedo
EO-based urban surface parameterization schemes
urban radiation balance
turbulent sensible and latent heat fluxes
heat storage in urban structures
urban anthropogenic heat flux
local scale urban carbon budget and CO₂ emissions
evaluation of EO-derived energy and carbon fluxes
zoning of urban areas based on heat and CO₂ emissions
contribution of energy fluxes to urban heat island development
contribution of energy fluxes to heat stress at neighbourhood level
contribution of UEB and CO₂ fluxes to climate change mitigation/adaptation
monitoring the effect of nature-based solutions on heat and CO₂ emissions

Published Papers (1 paper)

Research

21 pages, 18624 KiB

Open AccessArticle

Land-Use Carbon Emissions Estimation for the Yangtze River Delta Urban Agglomeration Using 1994–2016 Landsat Image Data

by Yifan Cui, Long Li, Longqian Chen, Yu Zhang, Liang Cheng, Xisheng Zhou and Xiaoyan Yang

Remote Sens. 2018, 10(9), 1334; https://doi.org/10.3390/rs10091334 - 21 Aug 2018

Cited by 62 | Viewed by 5904

Abstract

The amount and growth rate of carbon emissions have been accelerated on a global scale since the industrial revolution (1800), especially in recent decades. This has resulted in a significant influence on the natural environment and human societies. Therefore, carbon emission reduction receives continuously increasing public attention and has long been under debate. In this study, we made use of the land-use specific carbon emission coefficients from previous studies and estimated the land-use carbon emissions and carbon intensities of the Yangtze River Delta Urban Agglomeration (YRDUA)—which consists of 26 eastern Chinese cities—from Landsat image data and socio-economic statistics in 1995, 2005, and 2015. In addition, spatial autocorrelation models including both global and local Moran’s I were used to analyze the spatial autocorrelation of carbon emissions and carbon intensities. It was found that (1) the YRDUA witnessed a rapidly increasing trend for net carbon emissions and a decreasing trend for carbon intensity over the two decades; (2) the spatial differences in carbon intensity had gradually narrowed, but were large in carbon emissions and had gradually increased; and (3) the carbon emissions in 2005 and 2015 had significant spatial autocorrelations. We concluded that (1) from 1995 to 2015 in the YRDUA, carbon emissions were large for the cities along the Yangtze River and carbon intensities were high for Anhui province’s resource-based cities, while both carbon emissions and carbon intensities were small for Zhejiang province’s cities; (2) over two decades, the increase in carbon emissions from urban land was approximately twice the increase in urban land area. Our study can provide useful insights into the assignment of carbon reduction tasks within the YRDUA. Full article

(This article belongs to the Special Issue Remote Sensing of Urban Energy and CO2 Fluxes)

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