A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ) : A case study of Lisbon City

Firozjaei, M.K. and Mijani, N. and Atkinson, P.M. (2025) A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ) : A case study of Lisbon City. Ecological Informatics, 85: 102975. ISSN 1574-9541

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Abstract

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.

Item Type:
Journal Article
Journal or Publication Title:
Ecological Informatics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2300/2303
Subjects:
?? human activitiesimpervious surface percentagepressure-state-response frameworksatellite sensor imagerysurface ecological conditionsecologyecology, evolution, behavior and systematicsmodelling and simulationcomputational theory and mathematicsapplied mathe ??
ID Code:
226729
Deposited By:
Deposited On:
02 Jan 2025 14:25
Refereed?:
Yes
Published?:
Published
Last Modified:
03 Jan 2025 03:45