Special Issue "UHI Analysis and Evaluation with Remote Sensing Data"

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: 20 March 2024 | Viewed by 1571

Special Issue Editors

Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia, Via Vivarelli 10, 41125 Modena, Italy
Interests: remote sensing; satellite image processing; satellite image analysis mapping; environment; geographic information system; environmental impact assessment; climate change; spatial analysis; geospatial science
Technical Area, University of Modena and Reggio Emilia, Via Università 4, 41121 Modena, Italy
Interests: geographic information systems; image analysis; multispectral remote sensing; land cover; exposure analysis; pollutant dispersion models

Special Issue Information

Dear Colleagues,

The urban heat island (UHI) is an increasingly widespread phenomenon at a global level even in small urban areas. This phenomenon leads to an increasing thermal discomfort of the population in the hottest periods, including increased mortality and morbidity,  particulary among the weakest population such as the elderly and children. Higher temperatures also cause an increase in the energy required for air conditioning production. In this way, urban area emissions increase, and the UHI phenomenon is even more developed, in a circuit that seems to have no end. In the context of global climate change, it is essential to study and analyze the urban heat island phenomenon using innovative tools such as remote sensing, capable of monitoring large urban areas and giving a complete view of the phenomenon. Satellite or aerial images can be used to monitor the surface temperature, to analyze and characterize urban surfaces, and to study the critical “hot” points of the urban areas. These analyses can provide useful tools for urban planners to design actions against the UHI phenomenon.

In this Special Issue, we aim to publish papers that show how remote sensing (especially recent advances with new satellites) can help in the identification and analysis of urban heat islands to provide tools for mitigation and adaptation actions planning. We are interested in both large-scale studies, for example the analysis of the UHI phenomenon in large metropolitan areas, and also local studies, perhaps for small–medium-size urban areas in order to prove the presence of UHI also in this kind of territories.

Dr. Francesca Despini
Dr. Sofia Costanzini
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. Atmosphere is an international peer-reviewed open access monthly 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 2400 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

  • urban heat island
  • remote sensing
  • urbanization
  • land surface temperature
  • thermal comfort
  • urban planning

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

21 pages, 23955 KiB  
Article
Assessing the Impact of Spatiotemporal Land Cover Changes on the Urban Heat Islands in Developing Cities with Landsat Data: A Case Study in Zhanjiang
Atmosphere 2023, 14(12), 1716; https://doi.org/10.3390/atmos14121716 - 22 Nov 2023
Viewed by 367
Abstract
Land cover changes (LCCs) due to urbanization cause urban heat islands (UHIs), significantly affecting land surface temperature (LST) through spatiotemporal changes in compositions, parameters, and patterns. Land cover and LST have been studied in various cities; however, indicative research into heterogeneous LCC’s impact [...] Read more.
Land cover changes (LCCs) due to urbanization cause urban heat islands (UHIs), significantly affecting land surface temperature (LST) through spatiotemporal changes in compositions, parameters, and patterns. Land cover and LST have been studied in various cities; however, indicative research into heterogeneous LCC’s impact on LST in less-developed cities remains incomplete. This study analyzed new Landsat images of Zhanjiang, taken from 2004 to 2022, to determine the impact of three LCC indicators (compositions, parameters, and patterns) on LSTs. The urban thermal field variance index (UTFVI) was used to describe the distribution and variation in LST. We also quantified the cooling or warming benefits of various LCCs. The results indicate that the average temperature in the land urban heat island (SUHI) area rose to 30.6 °C. The average temperature of the SUHI was 3.32 °C higher than that of the non-SUHI area, showing the characteristic of shifting to counties and multi-core development. The LST increases by 0.37–0.67 °C with an increase of 0.1 in the normalized difference building index (NDBI), which is greater than the cooling benefit of the normalized difference of vegetation index (NDVI). The impact of landscape pattern indices on impervious surfaces and water is higher than that on vegetation and cropland, with a rising influence on impervious surfaces and a decreasing impact on water. The predominant cooling patches are vegetation and water, while large areas of impervious surface and cropland aggravate UHIs for industrial and agricultural activities. These findings are intended to guide future urban layouts and planning in less-developed cities, with thermal climate mitigation as a guiding principle. Full article
(This article belongs to the Special Issue UHI Analysis and Evaluation with Remote Sensing Data)
Show Figures

Figure 1

Review

Jump to: Research

20 pages, 6180 KiB  
Review
Spatiotemporal Patterns of the Application of Surface Urban Heat Island Intensity Calculation Methods
Atmosphere 2023, 14(10), 1580; https://doi.org/10.3390/atmos14101580 - 19 Oct 2023
Viewed by 643
Abstract
Using the China National Knowledge Infrastructure (CNKI) and Web of Science (WoS) databases, 487 articles that used remote sensing methods to study the intensity of surface urban heat islands (SUHIs) over the past 20 years were obtained using keyword searches. A multidimensional analysis [...] Read more.
Using the China National Knowledge Infrastructure (CNKI) and Web of Science (WoS) databases, 487 articles that used remote sensing methods to study the intensity of surface urban heat islands (SUHIs) over the past 20 years were obtained using keyword searches. A multidimensional analysis was conducted on these articles from the perspectives of the research methods used, spatiotemporal distribution characteristics of the research area, research development trends, and main challenges. The research found that (1) the growth trend of the various SUHI research methods over the years was similar to the overall trend in the number of publications, which has rapidly increased since 2009. (2) Among the SUHI research methods, temperature dichotomy is the most widely used worldwide; however, defining urban and rural areas is a main challenge. The Gaussian surface and local climate zoning methods have gradually emerged in recent years; however, owing to the limitations of the different urban development levels and scales, these methods require further improvement. (3) There are certain differences in the application of SUHI research methods between China and other countries. Full article
(This article belongs to the Special Issue UHI Analysis and Evaluation with Remote Sensing Data)
Show Figures

Figure 1

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Planned Paper :

Tentative title: Satellite Time Series Analysis for Thermal Anomalies Detection on Naples Urban Area. 
Abstract: Naples is the Italian most densely populated city per square kilometer (8500 inhabitants per km2). It is characterized by three main heat effects, anthropogenic heat due to intense urbanization, endogenous heat due to volcanic activity (at a very local scale), and the mitigation component due to the sea (near the shoreside). In this paper, the relation between these effects is presented, the authors faced Land Surface Temperature estimation over Naples township by processing the Landsat 8 (TIRS) and ASTER 2013 to 2022 time series by means of Google Earth Engine. To analyze the thermal images two different approaches have been followed respectively in the time domain and the spatial domain, with the aim to detect Thermal Anomalies Spots and the UHI intensity.  
Keywords: Urban Heat Island, Land Surface Temperature, Landsat 8 (TIRS), ASTER, Google Earth Engine. Authors: Alessia Scalabrini (ale.scalabrini@stud.uniroma3.it / alesscala1998@gmail.com) Massimo Musacchio (massimo.musacchio@ingv.it) Federico Rabuffi (federico.rabuffi@ingv.it) Malvina Silvestri (malvina.silvestri@ingv.it) Vito Romaniello (vito.romaniello@ingv.it) Maria Fabrizia Buongiorno (fabrizia.buongiorno@ingv.it)
Tentative submitting date: March 1st 2024
Back to TopTop