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

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...

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Main Authors: Bogdan-Eugen Dolean, Ștefan Bilașco, Dănuț Petrea, Ciprian Moldovan, Iuliu Vescan, Sanda Roșca, Ioan Fodorean
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/21/7722
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author Bogdan-Eugen Dolean
Ștefan Bilașco
Dănuț Petrea
Ciprian Moldovan
Iuliu Vescan
Sanda Roșca
Ioan Fodorean
author_facet Bogdan-Eugen Dolean
Ștefan Bilașco
Dănuț Petrea
Ciprian Moldovan
Iuliu Vescan
Sanda Roșca
Ioan Fodorean
author_sort Bogdan-Eugen Dolean
collection DOAJ
description 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.
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spelling doaj.art-ad3f384eb5b34ff2baf20cdb186e57322023-11-20T19:20:18ZengMDPI AGApplied Sciences2076-34172020-10-011021772210.3390/app10217722Evaluation of the Built-Up Area Dynamics in the First Ring of Cluj-Napoca Metropolitan Area, Romania by Semi-Automatic GIS Analysis of Landsat Satellite ImagesBogdan-Eugen Dolean0Ștefan Bilașco1Dănuț Petrea2Ciprian Moldovan3Iuliu Vescan4Sanda Roșca5Ioan Fodorean6Faculty of Geography, “Babeş-Bolyai” University, 5-7 Clinicilor Street, 400006 Cluj-Napoca, RomaniaFaculty of Geography, “Babeş-Bolyai” University, 5-7 Clinicilor Street, 400006 Cluj-Napoca, RomaniaFaculty of Geography, “Babeş-Bolyai” University, 5-7 Clinicilor Street, 400006 Cluj-Napoca, RomaniaFaculty of Geography, “Babeş-Bolyai” University, 5-7 Clinicilor Street, 400006 Cluj-Napoca, RomaniaFaculty of Geography, “Babeş-Bolyai” University, 5-7 Clinicilor Street, 400006 Cluj-Napoca, RomaniaFaculty of Geography, “Babeş-Bolyai” University, 5-7 Clinicilor Street, 400006 Cluj-Napoca, RomaniaFaculty of Geography, “Babeş-Bolyai” University, 5-7 Clinicilor Street, 400006 Cluj-Napoca, RomaniaThe 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.https://www.mdpi.com/2076-3417/10/21/7722remote sensingGIS modelbuilt-up areamappingurban analysis
spellingShingle Bogdan-Eugen Dolean
Ștefan Bilașco
Dănuț Petrea
Ciprian Moldovan
Iuliu Vescan
Sanda Roșca
Ioan Fodorean
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
Applied Sciences
remote sensing
GIS model
built-up area
mapping
urban analysis
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic remote sensing
GIS model
built-up area
mapping
urban analysis
url https://www.mdpi.com/2076-3417/10/21/7722
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