Urban growth and ecological quality assessment using spatial metrics and RSEI: a case study of Hills Shire council, Sydney, Australia

Anali Azabdaftari, Filiz Sunar

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

This study investigates urban expansion and ecological impacts in the Hills Shire, a fast-growing peri-urban area in north-west Sydney, from 2007 to 2025. Using multi-temporal Landsat imagery, Land Use and Land Cover (LULC) maps were created via supervised classification. Urban sprawl was quantified using Shannon's entropy, while landscape metrics such as Class Area, Patch Density, and Edge Density assessed spatial structure. Findings show major conversion of agricultural and natural land into built-up areas, with increasing consolidation and edge complexity. Entropy values rose between 2007 and 2018, then slightly declined by 2025, indicating urban densification. The Remote Sensing Ecological Index (RSEI), incorporating NDVI, LST, wetness, and NDBSI, declined from 0.72 in 2007 to 0.61 in 2025, reflecting worsening ecological quality. Urban heat, reduced vegetation, and habitat fragmentation were key contributors. The study highlights the value of integrating RSEI and spatial metrics into planning to support greener, more sustainable urban development.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS 2025), Bucharest, Romania, 2 - 4 September 2025
Place of PublicationU.S.
PublisherIEEE
Pages199-202
Number of pages4
ISBN (Electronic)9798331579203
ISBN (Print)9798331579210
DOIs
Publication statusPublished - 2025
EventInternational Conference on Machine Intelligence for GeoAnalytics and Remote Sensing - Bucharest, Romania
Duration: 2 Sept 20254 Sept 2025
Conference number: 3rd

Conference

ConferenceInternational Conference on Machine Intelligence for GeoAnalytics and Remote Sensing
Abbreviated titleMIGARS
Country/TerritoryRomania
CityBucharest
Period2/09/254/09/25

Keywords

  • Ecological quality
  • Landscape metrics
  • Remote sensing
  • Shannon's entropy
  • Urban expansion

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