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Challenges and New Advances for Human-Climate Interactions in Cities Using Remote Sensing

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A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".

Deadline for manuscript submissions: 26 April 2024 | Viewed by 6038

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Special Issue Editors

Dr. Hajime Seya

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Guest Editor

Department of Civil Engineering, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe, Hyogo 657-8501, Japan
Interests: spatial big data analysis; land use model; spatial statistics
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Hasi Bagan

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Guest Editor

School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
Interests: machine learning; data fusion; urban growth analysis; land cover change mapping
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Human activities are altering the natural landscape on the earth’s surface. The thermal environment of densely populated cities is also experiencing rapid change. Remote sensing provides the necessary spatial and temporal data to understand the complex human–climate interactions in cities. However, the complex temporal and spatial variability of human activities, urban landscapes, and urban climates make the understanding of the interactions among them challenging. The study of human–climate interactions is also complicated by the mixed pixels of remote sensing data. Therefore, we are calling for papers for a Special Issue on “Challenges and New Advances for Human–Climate Interactions in Cities Using Remote Sensing”.

This forthcoming Special Issue will focus on recent research advances in remote sensing and other geospatial analysis techniques applied to the relationship between urban human activity, spatial structure, and climate.

The potential topics of this Special Issue include, but are not limited to, the following:

Remote sensing methods for monitoring urban human activities, urban surface landscapes, and urban heat islands;
Remote sensing methods for urban carbon management and urban systems design;
Remote sensing methods for disaster resilient society;
Approaches to multisource remote sensing data fusion in the study of human–climate interactions;
Impact of different analytical scales or spatial resolution of remote sensing data on human–climate interactions;
Application of remote sensing and other geoinformation technologies in modeling human–climate interactions;
Impact of the urban land surface (e.g., land use/land cover and local climate zone, etc.) on the thermal environment;
Impact of urban human activities on the thermal environment.

Dr. Hajime Seya
Prof. Dr. Hasi Bagan
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

Thermal environment
Urban growth
Local climate zone
Urban systems design
Urban carbon management
Disaster resilience
Land cover mapping
Image fusion
Machine learning

Published Papers (3 papers)

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Research

29 pages, 17560 KiB

Open AccessArticle

Effective Factors for Reducing Land Surface Temperature in Each Local Climate Zone Built Type in Tokyo and Shanghai

by Zheng Wang, Yasuyuki Ishida and Akashi Mochida

Remote Sens. 2023, 15(15), 3840; https://doi.org/10.3390/rs15153840 - 01 Aug 2023

Cited by 1 | Viewed by 1570

Abstract

Identifying the main factors influencing the land surface temperature (LST) of each local climate zone (LCZ) built type is of great significance for controlling LST. This study investigated the main factors influencing the LST of each LCZ built type in two Asian megacities: Tokyo and Shanghai. Each area in both megacities was classified according to the LCZ scheme. The diurnal LST, pervious surface fraction (PSF), surface albedo (SA), average building height (

⟨ B H ⟩

), and gross building coverage ratio (λp) of each LCZ were also calculated. Finally, the influence of the properties of each LCZ built type on LST was investigated. The results demonstrated that the main factors influencing LST of different LCZ built types differed in Tokyo and Shanghai.

⟨ B H ⟩

was the main factor influencing LST for compact mid-rise and open high-rise types in Tokyo, and the compact mid-rise type in Shanghai; PSF was the main factor influencing LST for other LCZ built types. Moreover, both

⟨ B H ⟩

and PSF negatively correlated with LST. Based on the above results and characteristics of each LCZ built type, specific LST mitigation strategies for each LCZ built type were proposed for Tokyo and Shanghai. The approach in this study can contribute to perspectives for urban planners and policymakers to develop highly feasible and reasonable LST mitigation strategies. Full article

(This article belongs to the Special Issue Challenges and New Advances for Human-Climate Interactions in Cities Using Remote Sensing)

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17 pages, 15811 KiB

Open AccessArticle

Exploring Spatiotemporal Variations in Land Surface Temperature Based on Local Climate Zones in Shanghai from 2008 to 2020

by Xinyan Hou, Xuan Xie, Hasi Bagan, Chaomin Chen, Qinxue Wang and Takahiro Yoshida

Remote Sens. 2023, 15(12), 3106; https://doi.org/10.3390/rs15123106 - 14 Jun 2023

Cited by 3 | Viewed by 1485

Abstract

Understanding changes in urban internal structure and land surface temperature (LST) is essential. The local climate zone (LCZ) scheme has been extensively applied to characterize urban spatial structure, which has potential for urban climate research. We combined optical imagery and synthetic aperture radar (SAR) data (Landsat-5 and PALSAR for 2008; Sentinel-2 and PALSAR-2 for 2020) to map the LCZs in Shanghai, China. The results showed that the areas of open high-rise and open mid-rise buildings significantly increased from 2008 to 2020. Then, we investigated the spatiotemporal variations in LST based on the LCZ data from 2008 to 2020 using the grid method. The mean daytime LST (obtained from Landsat-5 and Landsat-8) was higher in 2020 than in 2008 for each LCZ type in spring. The mean daytime LSTs of compact mid-rise, compact low-rise, large low-rise and heavy industry zones were higher than those of other LCZ types in spring and summer. The mean nighttime LST (obtained from ASTER) in the downtown area was higher than that in the suburbs in summer. Furthermore, the mean nighttime LST of the built types was also generally higher than that of the natural types in summer. A comparison of the mean daytime LSTs in 2008 and 2020 revealed that the expansion trend of the higher LST areas in spring and summer is consistent with the expansion areas of the mid-rise and high-rise built types. Full article

(This article belongs to the Special Issue Challenges and New Advances for Human-Climate Interactions in Cities Using Remote Sensing)

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21 pages, 16859 KiB

Open AccessArticle

Latitudinal Trend Analysis of Land Surface Temperature to Identify Urban Heat Pockets in Global Coastal Megacities

by Dyutisree Halder, Rahul Dev Garg and Alexander Fedotov

Remote Sens. 2023, 15(5), 1355; https://doi.org/10.3390/rs15051355 - 28 Feb 2023

Cited by 3 | Viewed by 1550

Abstract

Recent global warming has led to increased coastal disturbances through a significant transfer of heat between the land and the ocean surface. The polar regions show excessive temperature changes resulting in massive ice sheet melting. Mid-latitudinal storms pull heat away from the equator towards the poles; therefore, the global sea level is rising, making coastal cities the most vulnerable. In last few decades, rapid urbanization in big cities has drastically changed the land cover and land use due to deforestation, which has led to increased land surface temperatures (LSTs). This eventually leads to urban flooding due to oceanic storm surges frequently created by low pressure over the ocean during summer. This paper considered factors such as drastic unplanned urbanization to analyze coastal cities as the focal point of the generation of heat yielding the annihilation of the natural topography. Urban heat pockets (UHP) were studied for nine megacities, which were selected at an interval of 5° of latitudinal difference in the northern hemisphere (NH) since 70% of densely populated megacities are located in coastal regions. A comparative surface temperature analysis was effectively carried out with the same latitudinal reference for nine mid-sized cities using the derived LST data from Landsat 8. The results provide a comparative classification of surface temperature variations across the coastal cities over the NH. This study infers that the issues pertaining to growing urbanization are very important for analyzing the proportional impact caused by the settlement hierarchy and lays a robust foundation for advanced studies of global warming in coastal urban environments. Full article

(This article belongs to the Special Issue Challenges and New Advances for Human-Climate Interactions in Cities Using Remote Sensing)

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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.

Title: Evaluation of spatio-temporal water storage changes in the Mongolian plateau using GRACE remote sensing data
Authors: Yaru Muschin
Affiliation: University of Tokyo

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Challenges and New Advances for Human-Climate Interactions in Cities Using Remote Sensing

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