Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran
Today, urban growth is a multidimensional spatial and population process in which cities and urban settlements are considered as centers of population focus owing to their specific economic and social features, which form a vital component in the development of human societies. The analysis of urban...
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Format: | Article |
Language: | English |
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Elsevier
2015
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Online Access: | http://psasir.upm.edu.my/id/eprint/46356/1/Spatio-temporal%20analysis%20of%20urban%20growth%20from%20remote%20sensing%20data%20in%20Bandar%20Abbas%20city%2C%20Iran.pdf |
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author | Dadras, Mohsen M. Shafri, Helmi Z. Ahmad, Noordin Pradhan, Biswajeet Safarpour, Sahabeh |
author_facet | Dadras, Mohsen M. Shafri, Helmi Z. Ahmad, Noordin Pradhan, Biswajeet Safarpour, Sahabeh |
author_sort | Dadras, Mohsen |
collection | UPM |
description | Today, urban growth is a multidimensional spatial and population process in which cities and urban settlements are considered as centers of population focus owing to their specific economic and social features, which form a vital component in the development of human societies. The analysis of urban growth using spatial and attribute data of the past and present, is regarded as one of the basic requirements of urban geographical studies, future planning as well as the establishment of political policies for urban development. Mapping, modeling, and measurements of urban growth can be analyzed using GIS and remote sensing-based statistical models. In the present study, the aerial photos and satellite images of 5 periods, namely (1956–1965, 1965–1975, 1975–1987, 1987–2001, 2001–2012) were used to determine the process of expansion of the urban boundary of Bandar Abbas. Here, in order to identify the process of expanding urban boundaries with time, the circular administrative border of the city of Bandar Abbas, was divided into 32 different geographical directions. Here, Pearson’s Chi-square distribution as well as Shannon’s entropy is used in calculating the degree of freedom and the degree of sprawl for the analysis of growth and development of the cities. In addition to these models, the degree-of-goodness was also used for combining these models in the measurement and determination of urban growth. In this way, it was found that the city of Bandar Abbas has a high degree of freedom and degree of sprawl, and a negative degree of goodness in urban growth. Regardless of the results achieved, the current study indicates the capability of aerial photos and satellite imagery in the effectiveness of spatio-statistical models of urban geographical studies. |
first_indexed | 2024-03-06T09:00:13Z |
format | Article |
id | upm.eprints-46356 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T09:00:13Z |
publishDate | 2015 |
publisher | Elsevier |
record_format | dspace |
spelling | upm.eprints-463562022-06-17T08:30:20Z http://psasir.upm.edu.my/id/eprint/46356/ Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran Dadras, Mohsen M. Shafri, Helmi Z. Ahmad, Noordin Pradhan, Biswajeet Safarpour, Sahabeh Today, urban growth is a multidimensional spatial and population process in which cities and urban settlements are considered as centers of population focus owing to their specific economic and social features, which form a vital component in the development of human societies. The analysis of urban growth using spatial and attribute data of the past and present, is regarded as one of the basic requirements of urban geographical studies, future planning as well as the establishment of political policies for urban development. Mapping, modeling, and measurements of urban growth can be analyzed using GIS and remote sensing-based statistical models. In the present study, the aerial photos and satellite images of 5 periods, namely (1956–1965, 1965–1975, 1975–1987, 1987–2001, 2001–2012) were used to determine the process of expansion of the urban boundary of Bandar Abbas. Here, in order to identify the process of expanding urban boundaries with time, the circular administrative border of the city of Bandar Abbas, was divided into 32 different geographical directions. Here, Pearson’s Chi-square distribution as well as Shannon’s entropy is used in calculating the degree of freedom and the degree of sprawl for the analysis of growth and development of the cities. In addition to these models, the degree-of-goodness was also used for combining these models in the measurement and determination of urban growth. In this way, it was found that the city of Bandar Abbas has a high degree of freedom and degree of sprawl, and a negative degree of goodness in urban growth. Regardless of the results achieved, the current study indicates the capability of aerial photos and satellite imagery in the effectiveness of spatio-statistical models of urban geographical studies. Elsevier 2015-06 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/46356/1/Spatio-temporal%20analysis%20of%20urban%20growth%20from%20remote%20sensing%20data%20in%20Bandar%20Abbas%20city%2C%20Iran.pdf Dadras, Mohsen and M. Shafri, Helmi Z. and Ahmad, Noordin and Pradhan, Biswajeet and Safarpour, Sahabeh (2015) Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran. The Egyptian Journal of Remote Sensing and Space Science, 18 (1). pp. 35-52. ISSN 1110-9823; ESSN: 2090-2476 https://www.sciencedirect.com/science/article/pii/S1110982315000083 10.1016/j.ejrs.2015.03.005 |
spellingShingle | Dadras, Mohsen M. Shafri, Helmi Z. Ahmad, Noordin Pradhan, Biswajeet Safarpour, Sahabeh Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran |
title | Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran |
title_full | Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran |
title_fullStr | Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran |
title_full_unstemmed | Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran |
title_short | Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran |
title_sort | spatio temporal analysis of urban growth from remote sensing data in bandar abbas city iran |
url | http://psasir.upm.edu.my/id/eprint/46356/1/Spatio-temporal%20analysis%20of%20urban%20growth%20from%20remote%20sensing%20data%20in%20Bandar%20Abbas%20city%2C%20Iran.pdf |
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