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Sustainable Application of Land Surveying and Mapping in Land Resource Development and Management

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

Deadline for manuscript submissions: 31 August 2025 | Viewed by 1690

Special Issue Editors

Department of Global Development, Cornell University, Ithaca, NY 14850, USA
Interests: land cover mapping; urban land use; sustainable development; urban and agriculture sustainability; climate change; risk assessment; environmental justice

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Guest Editor
Department of Earth System Science, Tsinghua University, Beijing 100084, China
Interests: remote sensing data fusion and change detection; global environmental change; land cover and land use change; urban planning; human health; sustainability
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Guest Editor
Department of Geography, Sustainability, Community, and Urban Studies, University of Connecticut, Storrs, CT, USA
Interests: sustainability; community environment; risk assessment; human mobility; human–environmental interactions; time-series analysis; GeoAI

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Guest Editor
School of the Environment, Yale University, New Haven, CT 06511, USA
Interests: geospatial big data fusion; GeoAI; human–environment interaction; environmental health
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Special Issue Information

Dear Colleagues

Land surveying and mapping play an important role in the sustainable management and development of land resources, providing foundational data for informed decision-making in various sectors, including urban planning, agriculture, forestry, and environmental conservation. As the global population increases and the demand for land intensifies, the need for precise and reliable land information becomes ever more pressing. The application of advanced surveying and mapping technologies, such as satellite remote sensing and geographic information science (GIS), offers significant opportunities for sustainable land resource development and management. These tools can help mitigate environmental impacts, optimize land use, and ensure the equitable allocation of land resources.

The aim of this Special Issue is to bring together cutting-edge research on the sustainable application of land surveying and mapping in land resource development and management. It seeks to highlight how innovations in this field can contribute to sustainable development goals, addressing both environmental and socio-economic challenges. This Special Issue aligns with the journal's broader focus on innovative approaches to support sustainable challenges. By focusing on land surveying and mapping, this issue seeks to promote interdisciplinary research that can enhance the accuracy, efficiency, and sustainability of land use practices worldwide.

This Special Issue welcomes both original research articles and review papers on topics related to the sustainable application of land surveying and mapping technologies. Potential themes include, but are not limited to:

  • Innovative surveying techniques for sustainable land management;
  • Remote sensing and GIS for land resource assessment;
  • Land use planning and zoning for sustainable development;
  • Urban land use planning;
  • Environmental impact assessments;
  • Climate change and land resource management;
  • Sustainable agriculture and land surveying;
  • Community-based land mapping and participatory GIS;
  • Policy implications of land surveying in resource management.

We look forward to receiving your contributions.

Dr. Ying Tu
Prof. Dr. Bing Xu
Dr. Hanlin Zhou
Dr. Yimeng Song
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

  • land surveying
  • land cover/land use mapping
  • sustainable land management
  • land resource development
  • land use planning
  • remote sensing
  • geographic information science (GIS)

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Published Papers (2 papers)

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Research

22 pages, 17735 KiB  
Article
Ecological Security Pattern Construction for Carbon Sink Capacity Enhancement: The Case of Chengdu Metropolitan Area
by Langong Hou, Huanhuan Hu, Tao Liu and Che Ma
Sustainability 2025, 17(10), 4483; https://doi.org/10.3390/su17104483 - 14 May 2025
Viewed by 273
Abstract
Constructing regional ecological security patterns (ESP) and enhancing carbon sequestration are essential for achieving China’s dual-carbon goals. However, rapid urbanization has intensified landscape fragmentation, disrupted ecosystem flows, and significantly altered urban ecological networks, weakening their carbon sink functions. Using the Chengdu metropolitan area [...] Read more.
Constructing regional ecological security patterns (ESP) and enhancing carbon sequestration are essential for achieving China’s dual-carbon goals. However, rapid urbanization has intensified landscape fragmentation, disrupted ecosystem flows, and significantly altered urban ecological networks, weakening their carbon sink functions. Using the Chengdu metropolitan area (CMA) as a case study, a time-series ESP from 2000 to 2020 was constructed. Morphological Spatial Pattern Analysis (MSPA), the Minimum Cumulative Resistance (MCR) model, the gravity model, and complex network theory were employed to assess the spatiotemporal evolution and carbon sequestration capacity of the ecological network. Results revealed continuous declines in ecological sources and corridors, an initial rise then stabilization in resistance, and weakening connectivity, particularly in central and western subregions. Reductions in modularity and topological indices reflected lower ecological stability and greater vulnerability. Forest land served as the primary carbon sink, closely associated with multiple topological metrics; grassland sequestration correlated with clustering, while water bodies were positively linked to centrality measures. Adding 10 stepping-stone nodes and 45 corridors could enhance carbon sequestration by approximately 4156 Mg C yr−1, with forests contributing 94.8% by 2020. This study provides scientific support for resilient regional ESP construction and dual-carbon strategy advancement. Full article
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18 pages, 4469 KiB  
Article
Sustainable Applications of Satellite Video Technology in Transportation Land Planning and Management
by Ming Lu, Yan Yan, Jingzheng Tu, Yi Yang, Yizhen Li, Runsheng Wang, Wenliang Zhou and Huisheng Wu
Sustainability 2025, 17(2), 444; https://doi.org/10.3390/su17020444 - 8 Jan 2025
Viewed by 760
Abstract
The accurate perception and prediction of traffic parameters like vehicles is essential to transportation land planning and management. Video satellites launched in recent years have brought promising opportunities into this field, providing a wide perspective and high frame frequency for extracting moving vehicles. [...] Read more.
The accurate perception and prediction of traffic parameters like vehicles is essential to transportation land planning and management. Video satellites launched in recent years have brought promising opportunities into this field, providing a wide perspective and high frame frequency for extracting moving vehicles. However, detecting moving vehicles remains a challenge due to their small size, which diminishes shape and texture details, often causing them to blend with noise or other objects. To address this issue, we propose an effective method for moving vehicle detection in video satellites by integrating road maps. Experiments conducted on videos sampled from Jilin-1 and Skysat satellites show that our approach achieves F-scores of 0.98 and 0.87, respectively, which are superior to the three traditional methods, Gaussian mixture model (GMM), improved frame difference (IFD), and visual background extractor (ViBe). Our method can be used for accurate parameter estimation in real traffic, which paves the way for the application of video satellites in transportation land planning and management. Full article
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