New Approaches to Land Use/Land Cover Change Modeling
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Systems and Global Change".
Deadline for manuscript submissions: closed (15 May 2023) | Viewed by 45419
Special Issue Editors
Interests: land use; urban development; geographic information system; spatial analysis; sustainability; urban planning; human geography
Interests: geographic information science; urban sustainability; land use change modeling
Special Issues, Collections and Topics in MDPI journals
Interests: land systems science; geospatial data science; urban sustainability
Interests: urban remote sensing; vegetation phenology; urban heat island; urban growth modeling
Special Issues, Collections and Topics in MDPI journals
Interests: geographic information systems (GIS); remote sensing; spatial modeling; and data mining for urban and environmental analysis and planning; mapping urban land cover (green space, impervious surfaces, etc.); monitoring forest health using fine resolution satellite imagery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues
Land use/land cover change induced by human activities has exerted profound impacts on ecosystems and human societies. In recent years, geo-big data has emerged as an important approach to generate reliable and accurate maps of land use/land cover change. Moreover, machine learning algorithms, which are capable of handling complex relationships within data, are also increasingly applied in land use/land cover modeling. Both of these new developments have provided opportunities to gain new insights of the consequences of land use/land cover change, and can help policy makers to address the potential challenges raised by global climate change. Therefore, we organize a special issue that is open to researchers interested in the field of land use/cover change modeling using geo-big data and machine learning. In this special Issue, we invite papers that focus on, but are not limited to, the following topics:
- Land use/land cover mapping with geo-big data
- Predictions of land use/land cover change based on machine learning
- Social and environmental impacts of land use/land cover change
- Sustainable urban/rural land use management
- Urban environmental change and evaluation
Dr. Yimin Chen
Dr. Guohua Hu
Dr. Yujia Zhang
Dr. Xuecao Li
Dr. Brian Alan Johnson
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
- land use/land cover change
- geospatial big data
- social and environmental impacts
- food security
- scenario projections
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