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The Application of Nighttime Remote Sensing in Achieving the Sustainable Development Goals (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 November 2025 | Viewed by 728

Special Issue Editors

School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
Interests: carbon emission; urban sustainability; land use change; remote sensing; geographic information science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are launching the second edition of a Special Issue of Remote Sensing, titled “Application of Nighttime Remote Sensing in Achieving the Sustainable Development Goals”.

The Sustainable Development Goals (SDGs) are a blueprint to achieve a better and more sustainable future for all. Remote sensing communities are committed to achieving SDGs because remote sensing techniques are essential tools in making sustainable development a reality at the local level. In particular, China has successfully launched a Sustainable Development Science Satellite (SDGSAT-1)—the world’s first scientific satellite towards SDGs. SDGSAT-1 is promising for a variety of SDG applications. Therefore, this Special Issue aims to discuss the latest theories and advanced methods of nighttime remote sensing in achieving SDGs. We would like to invite you to submit original research that fits the aims and scope of this Special Issue. We look forward to receiving your well-prepared research. Potential subtopics include, but are not limited to, the following:

  • Quantification methods of SDG indicators;
  • Scenario simulation towards SDGs;
  • Artificial intelligence in achieving SDGs;
  • Urban carbon emission and energy conservation;
  • Sustainable urban form for climate change adaption;
  • Implications of land use/cover changes on the environment;
  • Urban resilience and vulnerability against COVID-19;
  • Smart growth of land use and ecological conservation.

Dr. Jinyao Lin
Dr. Jinpei Ou
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

  • sustainable development goals
  • social indicators
  • land use planning
  • environmental conservation
  • artificial intelligence

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Published Papers (1 paper)

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Research

23 pages, 4493 KB  
Article
Future Scenarios of Global Urban Expansion and Carbon Emissions with National Heterogeneity: A Mixed-Effects Model Based on Urban Nighttime Lights
by Jiaoyi Xu, Masanobu Kii, Yoshinori Okano and Chun-Chen Chou
Remote Sens. 2025, 17(18), 3251; https://doi.org/10.3390/rs17183251 - 20 Sep 2025
Viewed by 561
Abstract
Cities play a pivotal role in environmental transformation and climate change mitigation. Urban expansion has substantial impacts on socioeconomic development and carbon emissions. This study develops a predictive model for future urban expansion and CO2 emissions based on nighttime light (NTL) data, [...] Read more.
Cities play a pivotal role in environmental transformation and climate change mitigation. Urban expansion has substantial impacts on socioeconomic development and carbon emissions. This study develops a predictive model for future urban expansion and CO2 emissions based on nighttime light (NTL) data, under five SSP-RCP scenarios (SSP1–2.6, SSP2–4.5, SSP3–6.0, SSP4–6.0, and SSP5–8.5) projected to 2053. This study introduces three key improvements from previous literature: (1) a mixed-effects model to capture cross- national and regional differences in urban expansion patterns; (2) incorporation of grid-level random effects to reflect inter-city growth heterogeneity; and (3) integration of SSP-RCP scenarios to incorporate the influence of emission efficiency and socioeconomic policies. Using this improved framework, we estimate future urban expansion and carbon emissions for 555 global cities. The results show that the sensitivity of urban expansion to GDP and population growth varies across countries, leading to diverse urban expansion trajectories. Nonetheless, urban areas are projected to increase under all scenarios. Meanwhile, improvements in emission efficiency under the SSP-RCP scenarios are expected to curb future emission trajectories. This study enhances urban scenario modeling and contributes to a better understanding of regional differences in global urban growth and CO2 emissions. Full article
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