Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis
Quantification of Surface Ecological Status (SES) changes is of great importance for understanding human exposure and adaptability to the environment. This study aims to assess the effect of urban growth on spatial and temporal changes of SES over a set of neighboring Iranian cities, Amol, Babol, Qa...
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2023-10-01
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author | Mohammad Karimi Firozjaei Naeim Mijani Saman Nadizadeh Shorabeh Yasin Kazemi Yasser Ebrahimian Ghajari Jamal Jokar Arsanjani Majid Kiavarz Seyed Kazem Alavipanah |
author_facet | Mohammad Karimi Firozjaei Naeim Mijani Saman Nadizadeh Shorabeh Yasin Kazemi Yasser Ebrahimian Ghajari Jamal Jokar Arsanjani Majid Kiavarz Seyed Kazem Alavipanah |
author_sort | Mohammad Karimi Firozjaei |
collection | DOAJ |
description | Quantification of Surface Ecological Status (SES) changes is of great importance for understanding human exposure and adaptability to the environment. This study aims to assess the effect of urban growth on spatial and temporal changes of SES over a set of neighboring Iranian cities, Amol, Babol, Qaemshahr, and Sari, which are located in moderate and humid climate conditions. Firstly, the built-up footprint was prepared using Landsat images based on the Automatic Built-up Extraction Index (ABEI). Then, the surface biophysical characteristics were calculated. Secondly, the SES was modeled using the Remotely Sensed Ecological Index (RSEI), and the spatio-temporal changes of the SES were evaluated. The results revealed that the average RSEI for these cities increased from 0.48, 0.51, 0.53, and 0.55 in 1986 to 0.69, 0.77, 0.75, and 0.78 in 2022, respectively. The proportion of the poor ecological condition class in these cities rose from 10%, 3%, 5%, and 1% to 74%, 64%, 54%, and 41% during the 1986–2022 period. Our findings indicate that the SES of these cities significantly decreased while they experienced large physical growth. The findings and the methodical approach of the study provide a data-driven approach for monitoring SES in fast growing regions, which is required for studying the impact of climate change on society. |
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issn | 2220-9964 |
language | English |
last_indexed | 2024-03-11T10:13:39Z |
publishDate | 2023-10-01 |
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series | ISPRS International Journal of Geo-Information |
spelling | doaj.art-40bc310a03b4435da94a82b3254f79772023-11-16T10:30:35ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-10-01121040610.3390/ijgi12100406Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City AnalysisMohammad Karimi Firozjaei0Naeim Mijani1Saman Nadizadeh Shorabeh2Yasin Kazemi3Yasser Ebrahimian Ghajari4Jamal Jokar Arsanjani5Majid Kiavarz6Seyed Kazem Alavipanah7Department of Remote Sensing and GIS, University of Tehran, Tehran 14155-6465, IranDepartment of Remote Sensing and GIS, University of Tehran, Tehran 14155-6465, IranDepartment of Remote Sensing and GIS, University of Tehran, Tehran 14155-6465, IranDepartment of Geography, University of Montreal, 1375 Avenue Thérèse-Lavoie-Roux, Montreal, QC H2V 0B3, CanadaDepartment of Civil Engineering, Babol Noshirvani University of Technology, Babol 47148-71167, IranGeoinformatics Research Group, Department of Planning and Development, Aalborg University Copenhagen, A.C. Meyers Vænge 15, DK-2450 Copenhagen, DenmarkDepartment of Remote Sensing and GIS, University of Tehran, Tehran 14155-6465, IranDepartment of Remote Sensing and GIS, University of Tehran, Tehran 14155-6465, IranQuantification of Surface Ecological Status (SES) changes is of great importance for understanding human exposure and adaptability to the environment. This study aims to assess the effect of urban growth on spatial and temporal changes of SES over a set of neighboring Iranian cities, Amol, Babol, Qaemshahr, and Sari, which are located in moderate and humid climate conditions. Firstly, the built-up footprint was prepared using Landsat images based on the Automatic Built-up Extraction Index (ABEI). Then, the surface biophysical characteristics were calculated. Secondly, the SES was modeled using the Remotely Sensed Ecological Index (RSEI), and the spatio-temporal changes of the SES were evaluated. The results revealed that the average RSEI for these cities increased from 0.48, 0.51, 0.53, and 0.55 in 1986 to 0.69, 0.77, 0.75, and 0.78 in 2022, respectively. The proportion of the poor ecological condition class in these cities rose from 10%, 3%, 5%, and 1% to 74%, 64%, 54%, and 41% during the 1986–2022 period. Our findings indicate that the SES of these cities significantly decreased while they experienced large physical growth. The findings and the methodical approach of the study provide a data-driven approach for monitoring SES in fast growing regions, which is required for studying the impact of climate change on society.https://www.mdpi.com/2220-9964/12/10/406Surface Ecological Status (SES)Remotely Sensed Ecological Index (RSEI)urban growthurban climatesatellite imagery |
spellingShingle | Mohammad Karimi Firozjaei Naeim Mijani Saman Nadizadeh Shorabeh Yasin Kazemi Yasser Ebrahimian Ghajari Jamal Jokar Arsanjani Majid Kiavarz Seyed Kazem Alavipanah Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis ISPRS International Journal of Geo-Information Surface Ecological Status (SES) Remotely Sensed Ecological Index (RSEI) urban growth urban climate satellite imagery |
title | Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis |
title_full | Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis |
title_fullStr | Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis |
title_full_unstemmed | Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis |
title_short | Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis |
title_sort | assessing the effect of urban growth on surface ecological status using multi temporal satellite imagery a multi city analysis |
topic | Surface Ecological Status (SES) Remotely Sensed Ecological Index (RSEI) urban growth urban climate satellite imagery |
url | https://www.mdpi.com/2220-9964/12/10/406 |
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