Assessing long-term urban ecological quality using the remote sensing ecological index: A case study of the Klang River Basin, Malaysia

Many developing countries have experienced rapid industrial and urban expansion over the last two decades, raising concerns about ecological degradation. However, quantitative assessments linking urbanization and ecological quality in tropical developing countries remain limited. This study used the Remote Sensing Ecological Index (RSEI) to evaluate long-term ecological quality in the Klang River Basin, Malaysia, from 2001 to 2023. Landsat imagery and four indicators of greenness, wetness, dryness, and heat were integrated using Principal Component Analysis (PCA) to analyze spatial and temporal changes. Pearson correlation analysis, spatial autocorrelation (Moran’s I), and Random Forest–based driving factor analysis were employed to quantify indicator relationships, detect spatial clustering patterns, and identify independent environmental controls. Results show a clear decline in ecological quality over 22 years, characterized by contraction of high-quality zones and expansion of moderate and low-quality areas. PCA and correlation analyses indicate increasing thermal and surface-drying stress over time. However, independent driving factor analysis demonstrates that elevation and hydro-climatic variables provide the primary structural controls on ecological quality distribution, while urbanization intensifies degradation within these constraints. The findings highlight the combined influence of geomorphological structure, climate variability, and urban expansion in shaping ecological change. Integrating remote sensing–based ecological monitoring into urban planning is essential for improving watershed management, protecting forest cover, restoring riparian systems, and enhancing green infrastructure. The study demonstrates the value of RSEI for long-term ecological assessment and provides a framework for linking spatial ecological indicators with sustainable development strategies in rapidly urbanizing tropical basins. • Rapid urbanization and land-use change have severely degraded ecological quality. • PCA shows a shift from moisture-driven resilience to heat-related ecological stress. • RSEI analysis indicates continuous ecological degradation from 2001 to 2023. • Ecosystem-based urban planning is essential to achieve sustainable development goals.

Authors

Institutions

Publication Details

Journal
Environmental and Sustainability Indicators
Published
2026-03-12
DOI
https://doi.org/10.1016/j.indic.2026.101217
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing long-term urban ecological quality using the remote sensing ecological index: A case study of the Klang River Basin, Malaysia

Mehrdad Hadipour, Sharareh Pourebrahim, Santha Vaithilingam, Abdul Majed Bostani et al.
Environmental and Sustainability Indicators
Land Use and Ecosystem Services
article

Assessing long-term urban ecological quality using the remote sensing ecological index: A case study of the Klang River Basin, Malaysia

Mehrdad Hadipour, Sharareh Pourebrahim, Santha Vaithilingam, Abdul Majed Bostani, Pervaiz K. Ahmed, Mahendhiran S. Nair
article en

Abstract

Many developing countries have experienced rapid industrial and urban expansion over the last two decades, raising concerns about ecological degradation. However, quantitative assessments linking urbanization and ecological quality in tropical developing countries remain limited. This study used the Remote Sensing Ecological Index (RSEI) to evaluate long-term ecological quality in the Klang River Basin, Malaysia, from 2001 to 2023. Landsat imagery and four indicators of greenness, wetness, dryness, and heat were integrated using Principal Component Analysis (PCA) to analyze spatial and temporal changes. Pearson correlation analysis, spatial autocorrelation (Moran’s I), and Random Forest–based driving factor analysis were employed to quantify indicator relationships, detect spatial clustering patterns, and identify independent environmental controls. Results show a clear decline in ecological quality over 22 years, characterized by contraction of high-quality zones and expansion of moderate and low-quality areas. PCA and correlation analyses indicate increasing thermal and surface-drying stress over time. However, independent driving factor analysis demonstrates that elevation and hydro-climatic variables provide the primary structural controls on ecological quality distribution, while urbanization intensifies degradation within these constraints. The findings highlight the combined influence of geomorphological structure, climate variability, and urban expansion in shaping ecological change. Integrating remote sensing–based ecological monitoring into urban planning is essential for improving watershed management, protecting forest cover, restoring riparian systems, and enhancing green infrastructure. The study demonstrates the value of RSEI for long-term ecological assessment and provides a framework for linking spatial ecological indicators with sustainable development strategies in rapidly urbanizing tropical basins. • Rapid urbanization and land-use change have severely degraded ecological quality. • PCA shows a shift from moisture-driven resilience to heat-related ecological stress. • RSEI analysis indicates continuous ecological degradation from 2001 to 2023. • Ecosystem-based urban planning is essential to achieve sustainable development goals.

Environmental and Sustainability IndicatorsVol. 30
University of Tehran (IR), Sunway University (MY)
Sustainable cities and communities
Openalex Percentile: Top 37%
Land Use and Ecosystem Services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.