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Applied Sciences
Special Issues
GIS-Based Environmental Monitoring and Analysis
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GIS-Based Environmental Monitoring and Analysis

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".

Deadline for manuscript submissions: 20 November 2024 | Viewed by 1943

Special Issue Editors

Dr. Beata Calka

E-Mail Website
Guest Editor
Institute of Geospatial Engineering and Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology, 00-908 Warsaw, Poland
Interests: spatial analysis; mapping; geographical analysis; geoinformation; geomatics
Dr. Marta Szostak

E-Mail Website
Guest Editor
Department of Forest Resource Management, Faculty of Forestry, University of Agriculture in Krakow, 31-425 Krakow, Poland
Interests: spatial analysis; forest succession mapping; reclaimed areas; geoinformation; geomatics; LIDAR; Sentinel-2; image classification

Special Issue Information

Dear Colleagues,

The environment is an important aspect of sustainable development, the extent of glacier coverage, forest degradation, agricultural crop production shortfalls, environmental degradation and global warming; these severe problems need us to take immediate action. Timely and effective monitoring of the environment enable us to further our knowledge regarding the current status of these conditions, and GIS is a powerful tool that provides vital support for the achievement of the sustainable developments goals.

This Special Issue aims to discuss GIS’s environmental applications, its ability to analyze valuable information and data, and contribute to advanced geosciences. The scope of this Special Issue includes, but is not limited to, the following:

  • GIS in land use, soil monitoring, digital soil mapping, soil erosion, landslides, slopes, aspects and vegetation;
  • Forest monitoring, forest fire management, digital elevation model (dem), index of flammability;
  • Natural resources, natural disaster, flood, landslide, drought, earthquake, disaster risk mitigation;
  • LIDAR, remote sensing, 2D GIS analysis, 3D IS analysis, GeoAI, new GIS methods, smart city applications, software and GIS devices, spatial-temporal patterns, WebGIS, mobile GIS, distributed GIS;
  • GIS in precision agriculture, offshore aquaculture;
  • GIS in water and ocean monitoring, including but not limited to, sea monitoring, oceanography, sea-level rise, land–ocean interaction, coastal environment monitoring, coastline change, coastal erosion, water quality;
  • Climate change monitoring, biodiversity loss;
  • Air quality monitoring, PM levels;
  • GIS-related image processing techniques, big data management, data mining, multitemporal analysis, decision making, visualization techniques.

Dr. Beata Calka
Dr. Marta Szostak
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. Applied Sciences 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

  • geographic information systems (GIS)
  • GeoAI
  • 2D/3D GIS analysis
  • GIS modelling
  • WebGIS, mobile GIS, distributed GIS
  • environment
  • mapping
  • spatial analysis
  • temporal analysis
  • satellite
  • LIDAR
  • remote sensing
  • image processing
  • multitemporal analysis
  • Earth monitoring
  • environmental surveillance
  • sustainable development
  • air quality
  • digital soil mapping
  • forest
  • coastal environments
  • coastal sediments, erosion
  • soil

Published Papers (3 papers)

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Research

15 pages, 1030 KiB  
Article
The Impact of Spatial Resolutions on Nature-Based Solution Suitability Mapping for Europe
by Joy Ommer, Jessica Neumann, Saša Vranić, Milan Kalas, Laura Sandra Leo, Silvana Di Sabatino and Hannah Louise Cloke
Appl. Sci. 2024, 14(11), 4608; https://doi.org/10.3390/app14114608 - 27 May 2024
Viewed by 220
Abstract
Flooding events, like in Germany in 2021, highlight the need for re-naturalising banks of rivers and streams to naturally mitigate future flooding. To identify potential areas for Nature-Based Solutions (NBS), the NBS Toolkit—a decision-support tool for Europe—was developed within the H2020 OPERANDUM project. [...] Read more.
Flooding events, like in Germany in 2021, highlight the need for re-naturalising banks of rivers and streams to naturally mitigate future flooding. To identify potential areas for Nature-Based Solutions (NBS), the NBS Toolkit—a decision-support tool for Europe—was developed within the H2020 OPERANDUM project. The tool builds on suitability mapping, which is progressively adopted for pre-assessing areas for Nature-Based Solutions. The NBS Toolkit operates with European open-source data, which is available at different spatial resolutions. In this study, we performed a GIS-based analysis to examine the impact of different resolution data on the resulting suitability maps. The results suggest that for large-scale measures such as riparian forest buffers, coarser resolutions are sufficient and may save processing time and capacities. However, fine resolution datasets can bring added value to urban suitability mapping and are of greater importance for small-scale, local Nature-Based Solutions. Full article
(This article belongs to the Special Issue GIS-Based Environmental Monitoring and Analysis)
16 pages, 11019 KiB  
Article
Risk of Tree Fall on High-Traffic Roads: A Case Study of the S6 in Poland
by Tomasz Kogut, Dagmara Wancel, Grzegorz Stępień, Małgorzata Smuga-Kogut, Marta Szostak and Beata Całka
Appl. Sci. 2024, 14(11), 4479; https://doi.org/10.3390/app14114479 - 24 May 2024
Viewed by 255
Abstract
Modern technologies, such as airborne laser scanning (ALS) and advanced data analysis algorithms, allow for the efficient and safe use of resources to protect infrastructure from potential threats. This publication presents a study to identify trees that may fall on highways. The study [...] Read more.
Modern technologies, such as airborne laser scanning (ALS) and advanced data analysis algorithms, allow for the efficient and safe use of resources to protect infrastructure from potential threats. This publication presents a study to identify trees that may fall on highways. The study used free measurement data from airborne laser scanning and wind speed and direction data from the Institute of Meteorology and Water Management in Poland. Two methods were used to determine the crown tops of trees: PyCrown and OPALS. The effect of wind direction on potential hazards was then analyzed. The OPALS method showed the best performance in terms of detecting trees, with an accuracy of 74%. The analysis showed that the most common winds clustered between 260° and 290°. Potential threats, i.e., trees that could fall on the road, were selected. As a result of the analysis, OPALS detected between 140 and 577 trees, depending on the chosen strategy. The presented research shows that combining ALS technology with advanced algorithms and wind data can be an effective tool for identifying potential hazards associated with falling trees on highways. Full article
(This article belongs to the Special Issue GIS-Based Environmental Monitoring and Analysis)
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29 pages, 11862 KiB  
Article
Remote Sensing-Enabled Urban Growth Simulation Overlaid with AHP-GIS-Based Urban Land Suitability for Potential Development in Mersin Metropolitan Area, Türkiye
by Ezgi Sahin, Muzaffer Can Iban and Suleyman Sefa Bilgilioglu
Appl. Sci. 2024, 14(8), 3484; https://doi.org/10.3390/app14083484 - 20 Apr 2024
Viewed by 977
Abstract
This study delves into the integration of analytic hierarchy process (AHP) and geographic information system (GIS) techniques to identify suitable areas for urban development in six districts within the Mersin Metropolitan Area of Turkey. The specific aim is to generate an urban land [...] Read more.
This study delves into the integration of analytic hierarchy process (AHP) and geographic information system (GIS) techniques to identify suitable areas for urban development in six districts within the Mersin Metropolitan Area of Turkey. The specific aim is to generate an urban land use suitability map, in order to facilitate informed decision-making for urban development. Drawing on open Landsat satellite imagery and employing the random forest (RF) algorithm, the study spans a fifteen-year period, over which land use/land cover (LULC) changes are measured. Furthermore, a novel approach is introduced by incorporating the urban land use suitability map into an urban growth simulation model developed using a logistic regression (LR) algorithm. This simulation forecasts urban growth up to 2027, enabling planners to evaluate potential development areas against suitability criteria. Findings reveal spatial patterns of land suitability and projected urban growth, aiding decision-makers in selecting optimal areas for development while preserving ecological integrity. Notably, the study emphasizes the importance of considering various factors such as topography, accessibility, soil capability, and geology in urban planning processes. The results showcase significant proportions of the study area as being moderately to highly suitable for urban development, alongside notable shifts in LULC classes over the years. Additionally, the overlay analysis of simulated urban growth and land suitability maps highlights areas with contrasting suitability levels, offering valuable insights for sustainable urban growth strategies. By overlaying the urban land suitability map with a simulated LULC map for 2027, it is revealed that 2247.3 hectares of potential new urbanization areas demonstrate very high suitability for settlement, while 7440.12 hectares exhibit very low suitability. By providing a comprehensive framework for assessing urban land suitability and projecting future growth, this research offers practical implications for policymakers, urban planners, and stakeholders involved in Mersin’s development trajectory, ultimately fostering more sustainable and resilient urban landscapes. Full article
(This article belongs to the Special Issue GIS-Based Environmental Monitoring and Analysis)
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