Special Issue "Climate Change Implications on Land Use/Cover"

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Systems and Global Change".

Deadline for manuscript submissions: 22 December 2023 | Viewed by 1155

Special Issue Editor

Geoinformatics and Earth Observation Research Group, Department of Planning, Aalborg University Copenhagen, A.C. Meyers Vænge 15, DK-2450 Copenhagen, Denmark
Interests: citizen observations; earth observation; geocomputation; GEO-artificial intelligence; data quality; environmental monitoring and assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Climate change and land use/cover (LUC) are closely related. LUC is considered a first-order driver of climate change and has been a central component of most major global environmental change studies, particularly the recent IPCC Assessment Report, which highlights the role of LUC in mitigating climate change. LUC has the potential to contribute to greenhouse gas (GHG) effects through changes in albedo and radiative forcing, and through direct emissions of carbon dioxide and methane associated with anthropogenic activities. Meanwhile, LUC can also serve to mitigate climate change through climate-friendly activities such as afforestation, climate-smart farming, and climate-neutral housing.

Geographic information science (GIS), Earth observation (EO), and artificial intelligence (AI) alongside climate informatics (CI) play a central role in understanding the relationship between climate change and LUC by providing high-resolution spatial data and analytical tools for mapping, attributing, and simulating climate–land interactions. The produced knowledge should shed light on data-driven and climate-friendly land use governance and policy development. Hence, this Special Issue seeks to collect a series of research articles that can contribute to a better understanding of the impacts of climate change on LUC and vice versa, and how GIS, EO, CI, and AI can fill the knowledge/data/tool/policy gaps required for climate-smart land management and governance.

This Special Issue of Land welcomes contributions on the following suggested topics:

  • LUC impacts of climate change and vice versa;
  • Downscaling climate impacts on LUC;
  • Simulating future LUC under a changing climate;
  • Simulating compound and cascading effects of climate change on LUC;
  • Climate-aware and data-driven urban planning and land governance practices, e.g., multifunctional land use;
  • Lessons learnt from critical and representative case studies;
  • Producing novel datasets and analytical tools/frameworks for addressing the above-mentioned topics.

Prof. Dr. Jamal Jokar Arsanjani
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. 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.


  • climate change
  • land use/cover
  • geographic information science (GIS)
  • earth observation (EO)
  • artificial intelligence (AI)

Published Papers (1 paper)

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24 pages, 14483 KiB  
A Scenario-Based Spatial Multi-Criteria Decision-Making System for Urban Environment Quality Assessment: Case Study of Tehran
Land 2023, 12(9), 1659; https://doi.org/10.3390/land12091659 - 24 Aug 2023
Viewed by 688
Spatial evaluation of urban environment quality (UEQ) is a key prerequisite in urban planning and development. The main goal of this study is to present a scenario-based spatial multi-criteria decision-making system for evaluating UEQ. Therefore, stakeholder involvement was conducted and eight environmental criteria [...] Read more.
Spatial evaluation of urban environment quality (UEQ) is a key prerequisite in urban planning and development. The main goal of this study is to present a scenario-based spatial multi-criteria decision-making system for evaluating UEQ. Therefore, stakeholder involvement was conducted and eight environmental criteria and six spatial-functional criteria were identified for five districts of Tehran. The weight of the effective criteria was calculated using the analytic hierarchy process (AHP) model. Then, the ordered weighted averaging (OWA) model was used to prepare UEQ maps in different scenarios, including very pessimistic, pessimistic, intermediate, optimistic, and very optimistic. Finally, the spatial distribution of the district population in different classes of UEQ was evaluated. Among the spatial-functional and environmental criteria, the sub-criteria of population density and air pollution, respectively, had the greatest impact on UEQ. In very pessimistic, intermediate, optimistic, and very optimistic scenarios, approximately 76.7, 51.8, 36.4, 23.7, and 9.8 km2 of the studied area had unsuitable UEQ conditions, respectively. In the very pessimistic scenario, about 37,000 and 1,500,000 people lived in areas with suitable and unsuitable UEQ conditions, respectively. In the very optimistic scenario, the population increased to over 917,000 in areas with suitable UEQ and decreased to 336,000 in those with unsuitable UEQ conditions in terms of both environmental and spatial-functional criteria. The research results showed that a high percentage of the population in the study area live under unsuitable UEQ conditions, which indicates the need for attention to improving the current UEQ conditions. The proposed approach is timely to gain a better understanding of the adverse impact of climate change on human well-being in marginal societies and how climate-resilient urban planning can play a significant role. Full article
(This article belongs to the Special Issue Climate Change Implications on Land Use/Cover)
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