Sustainable Land-Use Dynamics and Green Infrastructure Mapping

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Planning and Landscape Architecture".

Deadline for manuscript submissions: closed (5 December 2023) | Viewed by 10817

Special Issue Editors


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Guest Editor
Chair of Geoinformatics, Faculty of Geodesy, University of Zagreb, Zagreb, Croatia
Interests: satellite image analysis; geospatial science; spatial statistics; satellite image processing; vegetation mapping; synthetic aperture radar (SAR); advanced machine learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Chair of Geoinformatics, Faculty of Geodesy, University of Zagreb, Zagreb, Croatia
Interests: global positioning system; geographic information system; geospatial science; geomatics; earth observation; mapping; spatial analysis; geoinformation; satellite image analysis

E-Mail Website
Guest Editor
Faculty of Geodesy, University of Zagreb, 10000 Zagreb, Croatia
Interests: architecture for geographic information systems; spatial databases; machine learning; remote sensing technology; computer vision; spatial data science; traffic and transport science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Green infrastructure (GI) is a network of natural and semi-natural areas, features and green spaces in rural and urban areas that collectively provide society sustainable healthy living environment. Satellite remote sensing technology provides a key data source for mapping such environments but is not sufficient for fully  understanding them. GI also comprise vertical structures like green terraces and balconies that are not detectable by perpendicular satellite imagery which are often used to monitor GI. Consequently, no single data source is sufficient to satisfy the information needs required to map, monitor, model, and ultimately understand and manage our interaction within such urban systems.

Therefore, this Special Issue aims to disseminate conceptual and empirical research about sustainable land-use dynamics and quantitative methods in green infrastructure mapping. Also, by involving international case studies, this Special Issue will contribute to a development of a scientific methodology for sustainable urban green planning. Review papers on this topic are also welcome.

The manuscripts can be case studies, empirical studies, modeling and review studies from anywhere in the world. The core arguments should focus on the following topics:

  • Green infrastructure mapping in urban areas
  • Conceptual and scientific methodology of current urban green studies
  • Sustainable spatial planning of green spaces
  • Sustainable management in an urbanizing and environment changing background
  • Strategies for assessing green infrastructure performance
  • Spatio-temporal patterns in green infrastructure
  • A review of green infrastructure research

We look forward to receiving your contributions.

Dr. Dino Dobrinić
Prof. Dr. Damir Medak
Dr. Mario Miler
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. Land is an international peer-reviewed open access monthly 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 2600 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

  • time-series image analysis
  • SAR-based features
  • optical-based features
  • green infrastructure
  • sustainable planning
  • geographic information systems
  • ecosystem services

Published Papers (5 papers)

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Research

21 pages, 6411 KiB  
Article
Spatial-Temporal Dynamics of Urban Green Spaces in Response to Rapid Urbanization and Urban Expansion in Tunis between 2000 and 2020
by Khouloud Ben Messaoud, Yunda Wang, Peiyi Jiang, Zidi Ma, Kaiqi Hou and Fei Dai
Land 2024, 13(1), 98; https://doi.org/10.3390/land13010098 - 15 Jan 2024
Viewed by 1028
Abstract
Over the past two decades, the rate of urbanization has increased significantly worldwide, with more than half of the population already living in cities; this trend continues in numerous countries and regions. Tunisia is a North African country with a rich history and [...] Read more.
Over the past two decades, the rate of urbanization has increased significantly worldwide, with more than half of the population already living in cities; this trend continues in numerous countries and regions. Tunisia is a North African country with a rich history and diverse cultural heritage. In Greater Tunis, its capital city, urbanization has accelerated since 1960. Rapid urbanization has increased the demand for grey infrastructure and led to changes in land-use patterns and the destruction of the environment. This study aims to understand and depict the relationship between urban expansion and the green infrastructure in the Greater Tunis area. This study uses land-use data, administrative boundaries vector data, and Google satellite imagery datasets to calculate and analyze the changes in the land use transfer matrix and landscape pattern index of built-up land and green spaces in the Tunisian capital for three periods: 2000, 2010, and 2020. We found that the expansion of built-up areas in Tunis has increased from 8.8% in 2000 to 12.1% in 2020, and changes in green spaces have decreased from 23% in 2000 to 20.9% in 2020. Without planning guidelines, the layout of green spaces has become more fragmented and disorganized. For this reason, we provide programs and suggestions for building a complete ecological network of green spaces in order to provide references and lessons for related studies and cities facing the same problems. Full article
(This article belongs to the Special Issue Sustainable Land-Use Dynamics and Green Infrastructure Mapping)
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26 pages, 4470 KiB  
Article
Mapping Ecological Infrastructure in a Cross-Border Regional Context
by Arthur Sanguet, Nicolas Wyler, Benjamin Guinaudeau, Noé Waller, Loreto Urbina, Laurent Huber, Claude Fischer and Anthony Lehmann
Land 2023, 12(11), 2010; https://doi.org/10.3390/land12112010 - 02 Nov 2023
Viewed by 961
Abstract
Facing the decline of biodiversity worldwide, the conservation of the remaining natural and semi-natural areas is fundamental. To do so, the concept of green infrastructure has gained attention recently. This case study presents the method developed to identify the green infrastructure in a [...] Read more.
Facing the decline of biodiversity worldwide, the conservation of the remaining natural and semi-natural areas is fundamental. To do so, the concept of green infrastructure has gained attention recently. This case study presents the method developed to identify the green infrastructure in a cross-border, urbanized territory between Switzerland and France in the area of influence of the city of Geneva. The first part of the methodology consists of calculating and mapping the inputs aggregated in four pillars: (i) the distribution of habitats as well as the predicted distribution of hundreds of plant and animal species, (ii) the supply of five ecosystem services, (iii) the functional connectivity for three animal species and the light pollution and (iv) five indices of landscape’s structure. These inputs are then used to run a prioritization model to identify the areas with the highest ecological interest according to these weighted inputs. The cross-border situation of this case study had impacts on the way the input data were gathered and weighted and on the way the output was created to consider the expectations of the three main local authorities involved, without creating any legal obligations on the implementation of the green infrastructure. As a positive sign of the usefulness of these results, the resulting maps were immediately transferred to the land use planners in charge of developing ambitious visions of the “Grand Genève” territory for 2050 in alignment with 10 objectives of ecological transition as recently agreed and signed by local authorities. The method presented in this article is flexible and includes a broad description of biodiversity, supporting a reliable network of areas with high ecological values for conservation purposes and human well-being. Full article
(This article belongs to the Special Issue Sustainable Land-Use Dynamics and Green Infrastructure Mapping)
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21 pages, 7274 KiB  
Article
Improving Urban Habitat Connectivity for Native Birds: Using Least-Cost Path Analyses to Design Urban Green Infrastructure Networks
by Maggie MacKinnon, Maibritt Pedersen Zari and Daniel K. Brown
Land 2023, 12(7), 1456; https://doi.org/10.3390/land12071456 - 21 Jul 2023
Cited by 1 | Viewed by 2718
Abstract
Habitat loss and fragmentation are primary threats to biodiversity in urban areas. Least-cost path analyses are commonly used in ecology to identify and protect wildlife corridors and stepping-stone habitats that minimise the difficulty and risk for species dispersing across human-modified landscapes. However, they [...] Read more.
Habitat loss and fragmentation are primary threats to biodiversity in urban areas. Least-cost path analyses are commonly used in ecology to identify and protect wildlife corridors and stepping-stone habitats that minimise the difficulty and risk for species dispersing across human-modified landscapes. However, they are rarely considered or used in the design of urban green infrastructure networks, particularly those that include building-integrated vegetation, such as green walls and green roofs. This study uses Linkage Mapper, an ArcGIS toolbox, to identify the least-cost paths for four native keystone birds (kererū, tūī, korimako, and hihi) in Wellington, New Zealand, to design a network of green roof corridors that ease native bird dispersal. The results identified 27 least-cost paths across the central city that connect existing native forest habitats. Creating 0.7 km2 of green roof corridors along these least-cost paths reduced cost-weighted distances by 8.5–9.3% for the kererū, tūī, and korimako, but there was only a 4.3% reduction for the hihi (a small forest bird). In urban areas with little ground-level space for green infrastructure, this study demonstrates how least-cost path analyses can inform the design of building-integrated vegetation networks and quantify their impacts on corridor quality for target species in cities. Full article
(This article belongs to the Special Issue Sustainable Land-Use Dynamics and Green Infrastructure Mapping)
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22 pages, 2935 KiB  
Article
A Modified Equivalent Factor Method Evaluation Model Based on Land Use Changes in Tianfu New Area
by Jing Li, Jian Qiu, Majid Amani-Beni, Yuyang Wang, Mian Yang and Juewen Chen
Land 2023, 12(7), 1335; https://doi.org/10.3390/land12071335 - 03 Jul 2023
Cited by 1 | Viewed by 985
Abstract
Scientific understanding of urban ecosystem service value (ESV) is fundamental to building an urban ecological landscape pattern and improving urban environmental quality. The equivalent factor method (EFM) is widely used in evaluating ESV for natural ecosystems. In this study, using the [...] Read more.
Scientific understanding of urban ecosystem service value (ESV) is fundamental to building an urban ecological landscape pattern and improving urban environmental quality. The equivalent factor method (EFM) is widely used in evaluating ESV for natural ecosystems. In this study, using the EFM and sensitivity analysis, our research explored the space–time changes in land use and ESV during the planning and construction of Tianfu New Area from 2010 to 2020. This study selected correction factors from natural geography and social economy aspects, and established space–time correction models for standard equivalent coefficients as well as a comprehensive dynamic evaluation model for the ecosystem service value of specific urban areas. In terms of land use, the area of farmland decreased the most. The areas of construction land, grassland, and water bodies increased significantly. The reduced farmland was mainly converted into construction land, followed by grassland and water bodies. Other land use types had smaller changes. Due to the increased area of water bodies and their high-value coefficient per unit area, the urban ecosystem service value showed an increasing trend. During the study period, the conversion of about 1% of land led to about a 0.25% change in the urban ecosystem service value. Farmland in 2010 and water body in 2020 are the most sensitive land factors for ESV in Tianfu New Area. The results might have important insights for urban ecological environment protection and improving ecosystem services during the construction of newly built urban areas. Full article
(This article belongs to the Special Issue Sustainable Land-Use Dynamics and Green Infrastructure Mapping)
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19 pages, 2556 KiB  
Article
A Decision Support Tool for Green Infrastructure Planning in the Face of Rapid Urbanization
by Peta Brom, Kristine Engemann, Christina Breed, Maya Pasgaard, Titilope Onaolapo and Jens-Christian Svenning
Land 2023, 12(2), 415; https://doi.org/10.3390/land12020415 - 04 Feb 2023
Cited by 9 | Viewed by 4370
Abstract
Multifunctional green infrastructure, a key component of compact sustainable cities, is challenged by the pressures associated with rapid urbanization. In this paper, we present a method that uses remote sensing, GIS modeling and stakeholder engagement to produce a decision support tool that communicates [...] Read more.
Multifunctional green infrastructure, a key component of compact sustainable cities, is challenged by the pressures associated with rapid urbanization. In this paper, we present a method that uses remote sensing, GIS modeling and stakeholder engagement to produce a decision support tool that communicates the availability and need for green infrastructure benefits. The case study presented is the City of Tshwane, South Africa, a Global South city facing rapid urbanization. We found that this method of mapping green infrastructure benefits can provide simultaneous oversight on multiple objectives for green infrastructure, including climate change adaptation, biodiversity, and equitable distribution of urban green space. We found that low-scoring benefit areas occur in dense urban areas where small-scale nature-based solutions or rehabilitation activities are required. Moderate benefit scores occurred in parts of the city that are vulnerable to urban expansion and densification activities, warranting the careful planning of green infrastructure provision, and that moderate-to-high-scoring areas can be protected as conservation areas. The results are discussed in terms of the role of decision support tools for urban planning practice. Composite indexes can provide important guidance to decision-makers involved in spatial planning and urban upgrading and expansion activities. Full article
(This article belongs to the Special Issue Sustainable Land-Use Dynamics and Green Infrastructure Mapping)
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