Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.3
Journals
Sustainability
Special Issues
Research on Ecological and Environmental Sustainability Based on Remote Sensing...
sustainability-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Sustainability Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Research on Ecological and Environmental Sustainability Based on Remote Sensing and Geographic Information Systems

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainability in Geographic Science".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 958

Special Issue Editors

Dr. Qi Feng

E-Mail Website
Guest Editor
Innovation Academy of Precision Measurement Science and Technology, CAS, Wuhan 430077, China
Interests: application of remote sensing and GIS in environmental science
Special Issues, Collections and Topics in MDPI journals
Dr. Tao Liu

E-Mail Website
Guest Editor
Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
Interests: territorial spatial planning; environmental archaeology

Special Issue Information

Dear Colleagues,

(1) Introduction

Ecological and Environmental sustainability research based on remote sensing (RS) and geographic information systems (GIS) is a comprehensive research field that combines the advantages of RS technology and GIS to explore and evaluate environmental sustainability in depth.

With the development of multi-source RS sensors, advances in multi-source data fusion and processing methods, the combination of artificial intelligence and RS technology, and improvements in spatial analysis capabilities, significant progress has been made in ecological environment sustainability research based on RS and GIS in recent years, which not only promotes the development of related technologies, but also provides strong support for the protection and management of the ecological environment.

(2) Aim of This Special Issue

With this in mind, we are proud to introduce this Special Issue. It aims to publish high-quality ‘Research on Ecological and Environmental Sustainability Based on Remote Sensing and Geographic Information Systems’. We encourage the submission of articles that provide new theories, methodologies, findings, understandings, and perspectives. For empirical analysis, we suggest that authors not only pay attention to the introduction of the research results, but also to the case background, interpretation of the results, comparison with other similar studies, etc. In addition, authors should explore whether the conclusions of the study are general and can be extended to other cases.

(3) Suggest Themes

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Methods for obtaining and processing multi-source RS data of ecological or environmental field.
  • Research on regional ecological or environment changes based on RS.
  • Application cases of ecological environments based on the combination of artificial intelligence and RS technology.
  • The application of 3D GIS technology in the field of ecological environment detection or management.
  • Ecological or environment monitoring and early warning with RS and GIS.
  • Research on sustainable development of resources and environment based on GIS.
  • Resource management and protection cases with RS and GIS.

We look forward to receiving your contributions.

Dr. Qi Feng
Dr. Tao Liu
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. Sustainability 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 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

  • remote sensing
  • geographic information systems
  • ecological or environment sustainability
  • multi-source remote sensing data
  • three-dimensional geographic information systems
  • prediction modeling
  • resource management

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

21 pages, 9099 KiB  
Article
Urban Street Greening and Resident Comfort: An Integrated Approach Based on High-Precision Shadow Distribution and Facade Visual Assessment
by Yuting Ni, Liqun Lin, Huiqiong Xia and Xiajun Wang
Sustainability 2025, 17(3), 1026; https://doi.org/10.3390/su17031026 - 27 Jan 2025
Viewed by 439
Abstract
With the acceleration of global climate change and urbanization, the urban heat island effect has significantly impacted the quality of life of urban residents. Although numerous studies have focused on macro-scale factors such as air temperature, surface albedo, and green space coverage, relatively [...] Read more.
With the acceleration of global climate change and urbanization, the urban heat island effect has significantly impacted the quality of life of urban residents. Although numerous studies have focused on macro-scale factors such as air temperature, surface albedo, and green space coverage, relatively little attention has been paid to micro-scale factors, such as shading provided by building facades and tree canopy coverage. However, these micro-scale factors play a significant role in enhancing pedestrian thermal comfort. This study focuses on a city community in China, aiming to assess the thermal comfort of urban streets during the summer. Utilizing high-resolution 3D geographic data and street view images extracted from drone data, this study comprehensively considers the mechanisms affecting the urban street thermal environment and the human comfort requirements for shading and greening. By proposing quantitative indicators from multiple scales and dimensions, this study thoroughly quantifies the impact of the surrounding environment, greening, shading effects, buildings, and road design on the thermal comfort of summer streets. The results show that increasing tree canopy coverage by 10 m can significantly reduce the surrounding temperature, and a building layout extending 200 m can regulate temperature. The distribution of shadows at different times significantly affects thermal comfort, while the sky view factor negatively correlates with thermal comfort. Environments with a high green view index enhance visual comfort. This study reveals the specific contributions of different environmental characteristics to street thermal comfort and identifies factors that significantly impact thermal comfort. This provides a scientific basis for urban green space planning and thermal comfort improvement, holding substantial practical significance. Full article
(This article belongs to the Special Issue Research on Ecological and Environmental Sustainability Based on Remote Sensing and Geographic Information Systems)
►▼ Show Figures

Figure 1

17 pages, 1244 KiB  
Article
Remote Sensing Techniques with the Use of Deep Learning in the Determining Dynamics of the Illegal Occupation of Rivers and Lakes: A Case Study in the Jinshui River Basin, Wuhan, China
by Laiyin Shen, Yuhong Huang, Chi Zhou and Lihui Wang
Sustainability 2025, 17(3), 996; https://doi.org/10.3390/su17030996 - 26 Jan 2025
Viewed by 344
Abstract
The “Four Illegal Activities”, which involve occupation, extraction, and construction along shorelines, have become significant challenges in river and lake management in recent years. Due to the diverse and scattered nature of monitoring targets, coupled with the large volumes of data involved, traditional [...] Read more.
The “Four Illegal Activities”, which involve occupation, extraction, and construction along shorelines, have become significant challenges in river and lake management in recent years. Due to the diverse and scattered nature of monitoring targets, coupled with the large volumes of data involved, traditional manual inspection methods are no longer sufficient to meet regulatory demands. Late fusion change detection methods in deep learning are particularly effective for monitoring river and lake occupation due to their straightforward principles and processes. However, research on this topic remains limited. To fill this gap, we selected eight popular deep learning networks—VGGNet, ResNet, MobileNet, EfficientNet, DenseNet, Inception-ResNet, SeNet, and DPN—and used the Jinshui River Basin in Wuhan as a case study to explore the application of Siamese networks to monitor river and lake occupation. Our results indicate that the Siamese network based on EfficientNet outperforms all other models. It can be reasonably concluded that the combination of the SE module and residual connections provides an effective approach for improving the performance of deep learning models in monitoring river and lake occupation. Our findings contribute to improving the efficiency of monitoring river and lake occupation, thereby enhancing the effectiveness of water resource and ecological environment protection. In addition, they aid in the development and implementation of efficient strategies for promoting sustainable development. Full article
(This article belongs to the Special Issue Research on Ecological and Environmental Sustainability Based on Remote Sensing and Geographic Information Systems)
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop