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3D GIS Analysis in Monitoring Environment for Sustainable Development

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 2348

Special Issue Editors


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Guest Editor
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: spatial-temporal data mining; urban computing; 3D ST-computing; GeoAI
Special Issues, Collections and Topics in MDPI journals
Department of Geography, University of Lincoln, Lincoln LN6 7TS, UK
Interests: big data; GeoAI; spatial modelling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sustainable Development (SD) has been receiving more and more attention from academics, policymakers, and has been calling for deep transformations in every country. To achieve the Sustainable Developments Goals (SDGs) outcomes, the governments take complementary actions to add more co-operations in numerous areas, including environment, social, energy, and so on. With the development of earth observing technology, GIS analysis and the spatial-temporal data mining methods provide important support for the achievement of SDGs. In recent years, the focus of research has been shifting from 2D GIS analysis at macro-scale to 3D GIS analysis at micro-scale, for example, 3D spatial heterogeneity of atmospheric carbon dioxide (CO2), high-resolution emission inventory, 3D digital soil mapping, or 3D structures of PM2.5.

This Special Issue invites researchers to submit studies that deal with monitoring environment for sustainable development, and encourages more intellectual efforts and contributions to GIScience theories, tools, and practices regarding sustainable development. We are interested in research investigating different environmental monitoring systems and natural resources, including soil, water, forest, air quality, traffic, and so on, that move towards more sustainability. We especially welcome articles that provide any innovative analysis methods in monitoring environment, such as 3D spatiotemporal statistics, deep learning, or reinforcement learning. We invite all researchers to share research articles, reviews, and case studies tackling challenges at macro-, meso-, micro-scale with GIScience, and encourage researchers as well as industrial professionals from all over the world to present their current insights in this Special Issue entitled “3D GIS Analysis in Monitoring Environment for Sustainable Development”.

The scope of the Special Issue includes, but is not limited to, the following:

  • Big data analysis for SDGs;
  • GeoAI and new GIS methods for sustainable development;
  • The 2D/3D spatiotemporal statistics and data mining in monitoring environment;
  • Three-dimensional digital soil mapping;
  • High-resolution emission inventory;
  • Carbon emissions and carbon neutrality;
  • Air quality, atmospheric conditions;
  • Environmental pollution and human health effects;
  • Environmental impacts of agriculture, forestry, land uses and climate change;

Dr. Hengcai Zhang
Dr. Shaohua Wang
Dr. Yeran Sun
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

  • Sustainable Development Goals
  • urban computing
  • GeoAI
  • 2D/3D GIS analysis
  • air quality
  • carbon emissions
  • high-resolution emission inventory
  • 3D digital soil mapping
  • 3D structure of forest

Published Papers (1 paper)

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Research

17 pages, 5115 KiB  
Article
Construction of Ecological Security Pattern for Plateau Lake Based on MSPA–MCR Model: A Case Study of Dianchi Lake Area
by Shaokun Zhou, Yuhong Song, Yijiao Li, Jing Wang and Lan Zhang
Sustainability 2022, 14(21), 14532; https://doi.org/10.3390/su142114532 - 04 Nov 2022
Cited by 16 | Viewed by 1661
Abstract
The construction of ecological security patterns is an effective means to improve ecological environment quality, protect regional biodiversity, and alleviate the landscape fragmentation caused by urbanization in plateau lake cities. Taking the Dianchi Lake area as an example, we used the morphological spatial [...] Read more.
The construction of ecological security patterns is an effective means to improve ecological environment quality, protect regional biodiversity, and alleviate the landscape fragmentation caused by urbanization in plateau lake cities. Taking the Dianchi Lake area as an example, we used the morphological spatial pattern analysis method (MSPA) and the minimum cumulative resistance model (MCR) to construct a comprehensive resistance surface, ecological corridor network, and ecological security pattern for the study area. Firstly, we selected 12 ecological sources with more than 1000 hm2, PC, IIC index more than 1, and high habitat quality and connectivity from the study area, including the Dianchi lake body and the mountain forests in the south, north, and west. The overall habitat quality in the eastern region was poor. Secondly, the regional comprehensive resistance value was 1.0925–4.5395. The comprehensive resistance surface showed that the influence of human activities in the region was strong, and the connectivity between important sources was poor. Thirdly, we identified 26 important corridors with interaction force values higher than 50, mostly mountain corridors, between sources that were close to one another and over 40 general corridors with interaction force values lower than 50 in urban built-up areas, most of which were river corridors. Fourthly, by identifying five potential sources and 43 potential corridors in the eastern region, we improved the ecological network function and overall connectivity. The α index (loop pass degree), β index (line point rate), and γ index (connectivity degree) were 2.895, 5.5, and 2.2 before optimization and 3.206, 6.412, and 2.422 after optimization, respectively. Lastly, the “ridge lines” and “valley lines” were used to screen the ecological nodes in our ecological network model and construct a “one core, three regions, and one belt” ecological security pattern by combining the geographical characteristics of the research region and the local policy planning guidance. We also provided ecological control, restoration, and construction suggestions based on the corridor plans of other administrative regions and the different types of source area. Full article
(This article belongs to the Special Issue 3D GIS Analysis in Monitoring Environment for Sustainable Development)
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