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Remote Sensing Applications in Urban Ecosystem Services (Second Edition)

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 441

Special Issue Editor


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Guest Editor
Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Center for Remote Sensing of Ecological Environments in Cold and Arid Regions, Lanzhou University, Lanzhou 730000, China
Interests: GIS environmental system modeling; watershed ecology hydrology; ecosystem scientific integration; energy development strategy

Special Issue Information

Dear Colleagues,

In the context of accelerating global urbanization, the study of urban ecosystem services (UESs) is particularly urgent and important. As the main concentration of human activities, cities not only carry huge economic and social functions, but also ecosystem services such as climate regulation, air purification, and biodiversity protection, which play an irreplaceable role in improving the quality of life of residents and promoting sustainable urban development. However, it should not be ignored that the rapid urbanization process often goes hand in hand with the degradation of ecosystems and the weakening of service functions. How to effectively monitor, evaluate, and optimize urban ecosystem services has become an important topic in current urban scientific research.

This Special Issue "Remote Sensing Applications in Urban Ecosystem Services" aims to bring together the latest research achievements in remote sensing technology, at home and abroad. The innovative applications, potential, and challenges of remote sensing technology in the accurate quantification and fine mapping of urban ecosystem services are analyzed and discussed in depth. By demonstrating the application cases of remote sensing technology in urban land cover, river and lake health, heat island effect, air quality, water resources and biodiversity, we hope to provide a scientific basis and technical support for city managers, researchers, and policy makers to jointly promote the sustainable management and improvement of urban ecosystems.

Articles may cover, but are not limited to, the following topics:

  • Quantification and evaluation of urban ecosystem services;
  • Health evaluation of urban rivers and lakes;
  • Urban water resources management monitoring;
  • Urban land use and cover change;
  • Urban ecosystem services and climate change;
  • Remote sensing monitoring and mitigation of urban heat island effect;
  • Urban air quality monitoring and pollution source identification;
  • Urban biodiversity conservation and remote sensing monitoring;
  • Socio-ecological interactions in urban environments;
  • Ecological benefit evaluation of urban engineering;
  • Urban ecosystem services and urban planning decision support;
  • Urbanization and demand and supply of ecosystem services;
  • Remote sensing of urban cultural ecological landscape ecological services;
  • Remote sensing monitoring of sustainable development of world heritage sites;
  • Urban ecological intelligent management;
  • Multi-source remote sensing data fusion and urban ecosystem modeling;
  • Artificial intelligence for ecosystem service analysis.

Prof. Dr. Songbing Zou
Guest Editor

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

  • urban ecosystem services
  • quantification and assessment
  • climate change
  • human activity
  • sustainable management
  • urbanization
  • urban heat island effect
  • air quality
  • water resource management
  • biodiversity conservation

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Published Papers (1 paper)

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Research

25 pages, 42614 KiB  
Article
Simulation of the Carbon Cycle’s Spatiotemporal Dynamics in the Hangzhou Forest Ecosystem and How It Responds to Phenology
by Mengchen Hu, Huaqiang Du, Xuejian Li, Guomo Zhou, Fangjie Mao, Zihao Huang, Jie Xuan and Yinyin Zhao
Remote Sens. 2025, 17(9), 1531; https://doi.org/10.3390/rs17091531 - 25 Apr 2025
Viewed by 82
Abstract
The carbon cycle of forest ecosystems is a component of the global terrestrial ecosystem carbon cycle, and the productivity of forest ecosystems is significantly influenced by vegetation phenology. In this investigation, we simulated the spatiotemporal trends of the carbon cycle in forest ecosystems [...] Read more.
The carbon cycle of forest ecosystems is a component of the global terrestrial ecosystem carbon cycle, and the productivity of forest ecosystems is significantly influenced by vegetation phenology. In this investigation, we simulated the spatiotemporal trends of the carbon cycle in forest ecosystems in Hangzhou between 2001 and 2020 by means of the phenology-driven InTEC model and analyzed the mechanisms of carbon cycle changes in response to phenological changes. The results of this study suggested that the gross primary productivity (GPP), the net primary production (NPP), and the net ecosystem productivity (NEP) have obvious heterogeneity in spatiotemporal distribution, and the tendency of the start of the growing season (SOS) advancement, the end of the growing season (EOS) postponement, and the length of the growing season (LOS) lengthening is significant for a GPP increase with positive effects. Both phenology and climate have direct impacts on carbon cycle changes, while climate change indirectly affects carbon cycle changes through phenology changes. Full article
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