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Urban Growth and Ecological Quality Assessment Using Spatial Metrics and RSEI: a Case Study of Hills Shire Council, Sydney, Australia

  • Anali Azabdaftari*
  • , Filiz Sunar
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Western Sydney University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıHakem

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2025 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2025
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9798331579203
DOI'lar
Yayın durumuYayınlandı - 2025
Etkinlik3rd International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2025 - Bucharest, Romania
Süre: 2 Eyl 20254 Eyl 2025

Yayın serisi

Adı2025 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2025

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???event.eventtypes.event.conference???3rd International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2025
Ülke/BölgeRomania
ŞehirBucharest
Periyot2/09/254/09/25

Bibliyografik not

Publisher Copyright:
© 2025 IEEE.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

  1. SKH 11 - Sürdürülebilir Şehirler ve Topluluklar
    SKH 11 Sürdürülebilir Şehirler ve Topluluklar
  2. SKH 15 - Karasal Yaşam
    SKH 15 Karasal Yaşam

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