Special Issue "GIS Methods, Models and Applications in Interdisciplinary Studies"

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 6840

Special Issue Editors

Dr. Sanda Roșca
E-Mail Website
Guest Editor
Faculty of Geography, Babes Bolyai University, Cluj-Napoca, Romania
Interests: GIS modelling; forest favorability; landslide dynamics; land evaluation; environmental impact assessment; multirisk
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Prof. Dr. Ștefan Bilașco
E-Mail Website
Guest Editor
Faculty of Geography, Babes Bolyai University, Cluj-Napoca, Romania
Interests: GIS spatial analysis; geoinformatics; geomatics; remote sensing; environmental impact; digital cartography
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Prof. Dr. Dănuț Petrea
E-Mail Website
Guest Editor
Faculty of Geography, Babes Bolyai University, Cluj-Napoca, Romania
Interests: theoretical geography; geomorphology; landslide monitoring; geographical epistemology; spatial planning
Prof. Dr. Titus Cristian Man
E-Mail Website
Guest Editor
Faculty of Geography, Babes Bolyai University, Cluj-Napoca, Romania
Interests: GIS; remote sensing; digital mapping; smart mobility; sustainable urban mobility; proximal sensing technologies
Dr. Paul Sestraș
E-Mail Website
Guest Editor
Department of Land Measurements and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
Interests: topography; land survey; construction survey; mapping; cadastre; UAV photogrammetry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The main themes of this Special Issue include status analysis using GIS technology in order to develop methods of spatial analysis or geographical linkages to applied interdisciplinary research, innovative methods of research and data integration, as well as the processing and visualization of research results using the tools of spatial analysis and cartography.

This Special Issue welcomes papers that address:

  • Application, validation, and comparison of results obtained by quantitative and qualitative spatial modelling, expert knowledge, deterministic models, etc. using GIS technology in environmental studies, geographical studies, engineering with an emphasis on the objective analysis of model representativeness and their degree of predictability in applied geomorphology, and natural and anthropic hazards and risk.
  • Projects and applications related to technical issues for work focused on GIS technology applications in forest monitoring and evaluating the spatio-temporal distribution of forest and animal species under the pressure of climate change.
  • Specific spatial analysis applications of GIS tools in built-up areas in different parts of the word and different states of development using remote sensing and satellite images.
  • Evaluation of geospatial technologies and digital geomorphological mapping for fluvial dynamics assessment, landslides, and soil erosion, used in the context of individual and cumulative risk assessment.
  • Information from long-term historical and actual field experimentation based on satellite images and UAV acquisition data in comparison with the current state-of-the-art in environmental studies.
  • Studies related to the identification of favourable or restrictive areas for different land uses (agricultural, crop distribution, forestry or building spaces) in the current context of climate changes, with impacts on ecological factors influence (climatic, pedological, hydrological) and anthropogenic pressure involving the use of GIS technology to identify the evolution trends, the correlations between the factors, and the elaboration of land-use planning proposals.
  • Integrating modern techniques of data acquisition in cadastre and technical documentation in order to increase productivity and mitigate field risk. Improvement of traditional topography and land surveys with the help of GIS applications.

Other related topics on processing historical and new spatial data are welcome.

This Special Issue aims to collect works in different fields of research using GIS spatial analysis techniques. Research papers, extended review works, and works involving technical GIS applications and databases are encouraged.

Dr. Sanda Rosca
Prof. Dr. Ștefan Bilașco
Prof. Dr. Dănuț Petrea
Prof. Dr. Titus Cristian Man
Dr. Paul Sestraș
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 2300 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

  • GIS modelling
  • Remote sensing and GIS
  • Spatial analysis
  • Physical geography
  • Field experimentation and GIS Processing
  • Methodological aspects of forest monitoring
  • Geomorphological analysis and mapping
  • Fluvial dynamics
  • Hazard scenario analysis
  • Soil erosion and land degradation
  • Multirisk assessment
  • Terrain analysis
  • Regional planning
  • Modern land survey and topography
  • GIS assessment in cadastre and technical documentation

Published Papers (6 papers)

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Research

Article
A GIS-Based Analysis of the Light Rail Transit Systems in Spain
Appl. Sci. 2022, 12(3), 1282; https://doi.org/10.3390/app12031282 - 25 Jan 2022
Cited by 1 | Viewed by 759
Abstract
Throughout the last decades, light rail transit systems (LRT) have been built around the world due to their strengths: regularity, savings in CO2 emissions, flexibility, image and optimization of urban space. This research proposes the analyses of a group of LRTs by using [...] Read more.
Throughout the last decades, light rail transit systems (LRT) have been built around the world due to their strengths: regularity, savings in CO2 emissions, flexibility, image and optimization of urban space. This research proposes the analyses of a group of LRTs by using a method supported by GIS. Some data and parameters have been stated in order to define the systems. The range of values obtained allow us to characterize the LRT systems operating in Spain: for instance, mean distance range between stations is 405 m to 685 m, and potential users range (people who live no more than 500 m from a station) is 18,000 to 30,000, and population density in the capture areas is never below 1514 pop/km2 (in cities with no metro system). The benefit of the present study is to establish common data values that could be useful in future studies and preliminary projects carried out in other Spanish cities interested in introducing an LRT in their urban grid, and also for comparison with LRT in other countries. The method could be also applied to other public transportation systems, and to other countries. Full article
(This article belongs to the Special Issue GIS Methods, Models and Applications in Interdisciplinary Studies)
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Article
Geometric Similarity Measurement Method for Micro Scene Generalization
Appl. Sci. 2022, 12(2), 628; https://doi.org/10.3390/app12020628 - 10 Jan 2022
Viewed by 309
Abstract
Geometric similarity plays an important role in geographic information retrieval, map matching, and data updating. Many approaches have been developed to calculate the similarity between simple features. However, complex group objects are common in map and spatial database systems. With a micro scene [...] Read more.
Geometric similarity plays an important role in geographic information retrieval, map matching, and data updating. Many approaches have been developed to calculate the similarity between simple features. However, complex group objects are common in map and spatial database systems. With a micro scene that contains different types of geographic features, calculating similarity is difficult. In addition, few studies have paid attention to the changes in a scene’s geometric similarity in the process of generalization. In this study, we developed a method for measuring the geometric similarity of micro scene generalization based on shape, direction, and position. We calculated shape similarity using the hybrid feature description, and we constructed a direction Voronoi diagram and a position graph to measure the direction similarity and position similarity. The experiments involved similarity calculation and quality evaluation to verify the usability and effectiveness of the proposed method. The experiments showed that this approach can be used to effectively measure the geometric similarity between micro scenes. Moreover, the proposed method accounts for the relationships amongst the geometrical shape, direction, and position of micro scenes during cartographic generalization. The simplification operation leads to obvious changes in position similarity, whereas delete and merge operations lead to changes in direction and position similarity. In the process of generalization, the river + islands scene changed mainly in shape and position, the similarity change in river + lakes occurred due to the direction and location, and the direction similarity of rivers + buildings and roads + buildings changed little. Full article
(This article belongs to the Special Issue GIS Methods, Models and Applications in Interdisciplinary Studies)
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Article
Remote Sensing and Geospatial Models to Simulate Land Use and Land Cover and Estimate Water Supply and Demand for Water Balancing in Phuket Island, Thailand
Appl. Sci. 2021, 11(22), 10553; https://doi.org/10.3390/app112210553 - 09 Nov 2021
Cited by 1 | Viewed by 600
Abstract
Currently, Phuket Island is facing water scarcity because water demand for consumption was approximately 51 million m3/year, whereas water supply was only about 46 million m3/year. Thus, the study of water supply, demand and balancing are important for effective [...] Read more.
Currently, Phuket Island is facing water scarcity because water demand for consumption was approximately 51 million m3/year, whereas water supply was only about 46 million m3/year. Thus, the study of water supply, demand and balancing are important for effective water resources management. This study aims to simulate the LULC data using the CLUE-S model, estimate water supply using the SWAT model, and calculate water demand using a water footprint basis for water balancing on the Island. In addition, tourist water demand was separately estimated under normal and new normal conditions (COVID-19 pandemic) to fit with the actual situation at national and international levels. Water balance results with the consideration of ecological water requirements suggest that a water deficit occurs every year under the dry year scenario in normal and new normal conditions. In addition, the monthly water balance indicates that a water deficit occurs in the summer season every year, both without and with the consideration of ecological water requirements. Consequently, it can be concluded that remote sensing data with advanced geospatial models can provide essential information about water supply, demand, and balance for water resources management, particularly water scarcity, in Phuket Island in the future. Additionally, this study’s conceptual framework and research workflows can assist government agencies in examining water deficits in other areas. Full article
(This article belongs to the Special Issue GIS Methods, Models and Applications in Interdisciplinary Studies)
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Article
A GIS-Based Spatial Analysis Model Approach for Identification of Optimal Hydrotechnical Solutions for Gully Erosion Stabilization. Case Study
Appl. Sci. 2021, 11(11), 4847; https://doi.org/10.3390/app11114847 - 25 May 2021
Cited by 4 | Viewed by 1007
Abstract
The accentuated degradation of agricultural lands as a result of deep erosion processes is the main problem identified in abandoned agricultural lands under the rainfall intensities, increasing number of hot days, indirectly under the impact processes derived from them (soil erosion, vegetation drying, [...] Read more.
The accentuated degradation of agricultural lands as a result of deep erosion processes is the main problem identified in abandoned agricultural lands under the rainfall intensities, increasing number of hot days, indirectly under the impact processes derived from them (soil erosion, vegetation drying, etc.), as well as inadequate or poor management policies implemented by local authorities. The present study aims to develop and present a methodology based on GIS spatial analysis to choose the best hydro-amelioration solution for the arrangement of a complex ravine that negatively affects the entire agroecological area in its immediate vicinity. The proposed model is developed on spatial databases obtained based on UAV flights, the simulation of flow rate values and the establishment of three hydraulic analysis models through the HEC-RAS software with the main purpose of evaluating the results and databases, in order to identify the best implementing model for the stabilization and reduction in erosion within the analysed area. The comparative analysis of the three analysed scenarios highlighted the fact that a dam-type structure with overflow represents the best hydro-ameliorative solution to be implemented in the present study. The accuracy of the obtained results highlights the usefulness of developing GIS models of transdisciplinary spatial analysis to identify optimal solutions that can be implemented in territories with similar characteristics. Full article
(This article belongs to the Special Issue GIS Methods, Models and Applications in Interdisciplinary Studies)
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Article
Quantitative GIS Model for Evaluating the Favorability of Alfalfa (Medicago sativa L.) Culture for Suitable Varieties in Romania: Case Study Bihor County
Appl. Sci. 2021, 11(9), 4205; https://doi.org/10.3390/app11094205 - 05 May 2021
Viewed by 783
Abstract
The adaptation measures of agricultural crops to current climate change are also reflected at the level of land-use planning for species with resistance to rainfall shortages and periods of prolonged droughts. The present paper aimed at the spatial modeling of land favorability for [...] Read more.
The adaptation measures of agricultural crops to current climate change are also reflected at the level of land-use planning for species with resistance to rainfall shortages and periods of prolonged droughts. The present paper aimed at the spatial modeling of land favorability for alfalfa (Medicago sativa L.) within Bihor county, which is located in Northwest Romania. This was performed by using GIS spatial analysis techniques, particularly the technique of rating agricultural plots by using as a modeling basis the synthetic climate indicators, soil indices, as well as topographic characteristics, which are considered relevant for the studied species. As a result of the modeling process, agricultural plots that are favorable for the alfalfa culture were identified. A comparative analysis of the profit was also carried out both for the green and dry masses of eight types of alfalfa, which are suitable for the national environmental conditions. Land favorability modeling for alfalfa cultivation will be carried out by using GIS spatial analysis techniques, which allow the use of large databases while maintaining the necessary degree of detail, and they make possible the correlations between factors and production estimated per hectare, which are correlations that are characteristic for the environmental factors. Thus, for the studied territory, the best green alfalfa production was identified as being obtained from the Carinca and Daniela varieties, whereas the Mihaela and Teodora varieties were noticed to provide the best dry alfalfa production. Full article
(This article belongs to the Special Issue GIS Methods, Models and Applications in Interdisciplinary Studies)
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Article
Evaluation of the Built-Up Area Dynamics in the First Ring of Cluj-Napoca Metropolitan Area, Romania by Semi-Automatic GIS Analysis of Landsat Satellite Images
Appl. Sci. 2020, 10(21), 7722; https://doi.org/10.3390/app10217722 - 31 Oct 2020
Cited by 5 | Viewed by 2153
Abstract
The accentuated dynamics of the real estate markets of the last 20 years, determined that a large part of the territories in the immediate vicinity of the big urban centers, to change their category of land use, in an accelerated rhythm. Most of [...] Read more.
The accentuated dynamics of the real estate markets of the last 20 years, determined that a large part of the territories in the immediate vicinity of the big urban centers, to change their category of land use, in an accelerated rhythm. Most of the time, the land use changes according to the market requirements, the predominantly agricultural lands being occupied by constructions with residential or industrial functions. Identifying these changes is a difficult task due to the heterogeneity of spatial databases that come from different real estate development projects, so determining and implementing new methods to track land changes are currently highly required. This paper presents a methodologically innovative index-based approach for the rapid mapping of built-up areas, using Landsat-5, Landsat-7, and Landsat-8 satellite imagery. The approach described in this study differs from other conventional methods by the way the analysis was performed and also by the thematic indices used in the processes of built-up area delineation. The method, structured in a complex model, based on Remote Sensing and GIS techniques, can be divided into three distinct phases. The first stage is related to the pre-processing of the remote sensing data. The second stage involves the calculation of the normalized difference vegetation index (NDVI), the modified normalized difference water index (MNDWI), and the bare soil index (BI) correlated with the extraction of all areas not covered by vegetation; respectively, the elimination from the result of all areas covered by water, bare land, or uncultivated arable land. The result of this stage is represented by a distinct thematic layer that contains only built-up areas and other associated territories. The last step of the model is represented by the validation of the results, which was performed based on statistical methods and also by direct comparison with field reality, obtaining a validation coefficient which is generally above 85% for any of the methods used. The validation process shows us that by applying this method, the fast mapping of the built-up areas is significantly enhanced and the model is suitable to be implemented on a larger scale in any practical and theoretical application that aims at the rapid mapping of the built-up areas and their evolutionary modeling. Full article
(This article belongs to the Special Issue GIS Methods, Models and Applications in Interdisciplinary Studies)
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