Special Issue "Hazards, Disasters and Land Science toward Asian and Global SDGs for Land Systems: Approaches from Remotely Sensed Geospatial Data Analyses"

A special issue of Land (ISSN 2073-445X).

Deadline for manuscript submissions: 31 December 2020.

Special Issue Editors

Dr. Ram Avtar
Guest Editor
1. Graduate School of Environmental Earth Science, Hokkaido University, Sapporo, Japan;
2. GLP Japan Nodal Office
Interests: GIS; forest ecosystem; sustainability science; climate change adaptation and mitigation
Special Issues and Collections in MDPI journals
Dr. Yunus P. Ali
Guest Editor
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology Chengdu, Chengdu 610059, China
Interests: GIS; Remote Sensing; Geomorphology; GeoScience; Geography
Prof. Dr. Teiji Watanabe
Guest Editor
Group of Environmental Geography, Section of Integrated Environmental Science, Faculty of Environmental Earth Science, Hokkaido University W-5, N-10, Sapporo, 060-0810, Japan
Interests: mountain geoecology; landscape changes in high mountain areas; geodiversity; sustainable use and management in mountain protected areas/national parks; trail erosion in mountain areas
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Land is an epicenter for several natural and anthropogenic activities on the planet. Human-induced changes have consequences for the global environmental standards. The changes in agricultural patterns, shrinking forests resources, and expanding industrial townships have become a regular feature of the 21st century. These changes have taken an unprecedented route, threatening the sustainability of ecosystems, evidenced by the growing frequency of extreme weather events such as floods, droughts, cyclones, and landslides. The concepts of climate change adaptation and mitigation, and building community resilience under the template of sustainable development are inevitable options now. The role of geospatial data has been widely discussed to develop effective approaches to understand and monitor environmental transformations. The geospatial data, apart from establishing a baseline, also help with future projections and policy formulations. The recent advances in the field of space technology with hypersensitive data on time and location scales offer immense opportunities to explore land processes and their relationship with the increasing environmental challenges. This Special Issue will gather papers by interested experts worldwide and selected papers from the 3rd Global Land Programme (GLP) 2021 Asia Conference, which will be held in Sapporo, Japan on 14–17 September, 2021. The conference focuses on hazards, disasters, and Land Science for SDGs in the Asian and global contexts.

Papers selected for this Special Issue are subjected to a rigorous peer review procedure with the aim of rapid and wide dissemination of research results, developments, and applications in the environment.

Dr. Ram Avtar
Dr. Yunus P. Ali
Prof. Dr. Teiji Watanabe
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 papers will be 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 1000 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.


  • Opportunities and challenges of land use/cover mapping in the new remote sensing era
  • Geospatial data for terrestrial ecosystem monitoring
  • Rethinking and rejuvenating urban spaces along sustainability practices in Asia and other parts of the world
  • Environmental monitoring using cloud-based processing of remote sensing datasets
  • Connectivity and feedback of land systems across multiple temporal and spatial scales
  • Monitoring and evaluation of climate- and geo-related risk management

Published Papers (1 paper)

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Open AccessArticle
Landslide Mapping and Susceptibility Assessment Using Geospatial Analysis and Earth Observation Data
Land 2020, 9(5), 133; https://doi.org/10.3390/land9050133 - 28 Apr 2020
The western part of Crete Island has undergone serious landslide events in the past. The intense rainfalls that took place in the September 2018 to February 2019 period provoked extensive landslide events at the northern part of Chania prefecture, along the motorway A90. [...] Read more.
The western part of Crete Island has undergone serious landslide events in the past. The intense rainfalls that took place in the September 2018 to February 2019 period provoked extensive landslide events at the northern part of Chania prefecture, along the motorway A90. Geospatial analysis methods and earth observation data were utilized to investigate the impact of the various physical and anthropogenic factors on landslides and to evaluate landslide susceptibility. The landslide inventory map was created based on literature, aerial photo analysis, satellite images, and field surveys. A very high-resolution Digital Elevation Model (DEM) and land cover map was produced from a dense point cloud and Earth Observation data (Landsat 8), accordingly. Sentinel-2 data were used for the detection of the recent landslide events and offered suitable information for two of them. Eight triggering factors were selected and manipulated in a GIS-based environment. A semi-quantitative method of Analytical Hierarchy Process (AHP) and Weighted Linear Combination (WLC) was applied to evaluate the landslide susceptibility index (LSI) both for Chania prefecture and the motorway A90 in Chania. The validation of the two LSI maps provided accurate results and, in addition, several susceptible points with high landslide hazards along the motorway A90 were detected. Full article
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