A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ): A case study of Lisbon City
Anthropogenic activities play a crucial role in the formation and intensification of Urban Surface Ecological Poorness Zones (USEPZ). This study introduces a methodology for assessing the spatiotemporal fluctuations of Anthropogenic USEPZ (AUSEPZ), using Lisbon city and the Setúbal district as a cas...
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Elsevier
2025-03-01
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author | Mohammad Karimi Firozjaei Naeim Mijani Peter M. Atkinson |
author_facet | Mohammad Karimi Firozjaei Naeim Mijani Peter M. Atkinson |
author_sort | Mohammad Karimi Firozjaei |
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description | Anthropogenic activities play a crucial role in the formation and intensification of Urban Surface Ecological Poorness Zones (USEPZ). This study introduces a methodology for assessing the spatiotemporal fluctuations of Anthropogenic USEPZ (AUSEPZ), using Lisbon city and the Setúbal district as a case study to demonstrate its effectiveness. By integrating data from various surface characteristics through the Comprehensive Ecological Evaluation Index (CEEI), Surface Ecological Condition (SEC) maps were developed, and their spatial and temporal variations were analyzed. Additionally, a feature space was established between the Impervious Surface Percentage (ISP) and CEEI to calculate AUSEPZ intensity across different years. The findings revealed that the mean CEEI of Lisbon increased by 0.41 between 1986 and 2023. During this period, the proportions of SEC classified as Excellent, Very Good, Good, Fair, and Poor changed by −52 %, −13 %, +107 %, +444 %, and + 1134 %, respectively. The AUSEPZ intensity values for Lisbon were 0.32, 0.39, 0.46, 0.52, 0.57, and 0.63 for the years 1986, 1994, 2001, 2008, 2015, and 2023, respectively. The intensification of human activities, driven by urban expansion and population growth, has significantly contributed to the deterioration of SEC in Lisbon over recent years. These findings provide valuable insights for urban planners, policymakers, and stakeholders, enabling the design of targeted strategies to mitigate the impacts of urbanization and enhance ecological conditions in urban areas. |
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issn | 1574-9541 |
language | English |
publishDate | 2025-03-01 |
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spelling | doaj-art-f0fd42ae05af40b5baf96783ffbf72722025-01-19T06:24:42ZengElsevierEcological Informatics1574-95412025-03-0185102975A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ): A case study of Lisbon CityMohammad Karimi Firozjaei0Naeim Mijani1Peter M. Atkinson2Tourism Faculty, University of Tehran, Tehran, Iran; Corresponding author.Department of Geography and Environment, Western University, London, ON N6A 5C2, CanadaLancaster Environment Centre, Lancaster University, Bailrigg, Lancaster LA1 4YR, UK; Geography and Environmental Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK; College of Surveying and Geo-Informatics, Tongji University, No.1239, Siping Road, Shanghai 200092, PR ChinaAnthropogenic activities play a crucial role in the formation and intensification of Urban Surface Ecological Poorness Zones (USEPZ). This study introduces a methodology for assessing the spatiotemporal fluctuations of Anthropogenic USEPZ (AUSEPZ), using Lisbon city and the Setúbal district as a case study to demonstrate its effectiveness. By integrating data from various surface characteristics through the Comprehensive Ecological Evaluation Index (CEEI), Surface Ecological Condition (SEC) maps were developed, and their spatial and temporal variations were analyzed. Additionally, a feature space was established between the Impervious Surface Percentage (ISP) and CEEI to calculate AUSEPZ intensity across different years. The findings revealed that the mean CEEI of Lisbon increased by 0.41 between 1986 and 2023. During this period, the proportions of SEC classified as Excellent, Very Good, Good, Fair, and Poor changed by −52 %, −13 %, +107 %, +444 %, and + 1134 %, respectively. The AUSEPZ intensity values for Lisbon were 0.32, 0.39, 0.46, 0.52, 0.57, and 0.63 for the years 1986, 1994, 2001, 2008, 2015, and 2023, respectively. The intensification of human activities, driven by urban expansion and population growth, has significantly contributed to the deterioration of SEC in Lisbon over recent years. These findings provide valuable insights for urban planners, policymakers, and stakeholders, enabling the design of targeted strategies to mitigate the impacts of urbanization and enhance ecological conditions in urban areas.http://www.sciencedirect.com/science/article/pii/S157495412400517XSurface ecological conditionsPressure-state-response frameworkImpervious surface percentageHuman activitiesSatellite sensor imagery |
spellingShingle | Mohammad Karimi Firozjaei Naeim Mijani Peter M. Atkinson A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ): A case study of Lisbon City Ecological Informatics Surface ecological conditions Pressure-state-response framework Impervious surface percentage Human activities Satellite sensor imagery |
title | A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ): A case study of Lisbon City |
title_full | A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ): A case study of Lisbon City |
title_fullStr | A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ): A case study of Lisbon City |
title_full_unstemmed | A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ): A case study of Lisbon City |
title_short | A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ): A case study of Lisbon City |
title_sort | remote sensing based strategy for mapping anthropogenic urban surface ecological poorness zones ausepz a case study of lisbon city |
topic | Surface ecological conditions Pressure-state-response framework Impervious surface percentage Human activities Satellite sensor imagery |
url | http://www.sciencedirect.com/science/article/pii/S157495412400517X |
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