Extraction and expansion evolution analysis of built-up areas based on multi-source data: A case study of Hefei City, Anhui province

• Enhanced built-up area extraction by integrating LST, NPP-VIIRS, and POI data. • Developed a model integrating corridor expansion to boost urban connectivity. • Revealed urban expansion dynamics, offering insights for future planning. Accurate extraction of urban built-up areas and understanding their expansion dynamics are crucial for urban planning and sustainable development. Traditional single-source remote sensing methods often have low accuracy in extraction. Our study addressed this limitation by integrating multi-source data, including Landsat land surface temperature (LST), NPP-VIIRS nighttime light data, and POI data. Through comparisons of mutation detection, reference comparison, and a multi-source comprehensive index method, we identified the most effective approach for urban built-up area extraction. Additionally, we developed an innovative spatial model based on morphological structural elements and introduced a new corridor expansion to supplement the traditional urban expansion patterns of edge, infilling, and outlying expansion. This new model enhanced the understanding of urban landscape connectivity and provided a more comprehensive analysis of urban growth processes. The results showed that the comprehensive index method produced the most accurate extraction, with overall accuracies exceeding 89% and Kappa coefficients above 0.80 across all years. The built-up area and expansion indicators displayed an increasing trend, with urban expansion extending northwest from 2013 to 2020 and then shifting southward from 2020 to 2023. The spatial pattern of urban sprawl was characterized by edge expansion, followed by corridor expansion (except between 2017 and 2020), with a trend toward increasing outlying types and fewer infilling expansions. These findings indicated that Hefei’s main urban area had reached a relatively mature stage, with built-up areas beginning to expand into surrounding towns; future efforts should focus on strengthening corridor expansion. This study filled a critical gap in accurately extracting built-up areas and analyzing spatial expansion, providing a scientific basis for urban land management, policy-making, and sustainable development.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2024-12-01
DOI
https://doi.org/10.1016/j.ecolind.2024.112923
Citations
3
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extraction and expansion evolution analysis of built-up areas based on multi-source data: A case study of Hefei City, Anhui province

Yuxuan Shui, Huan Liu, Yuliang Wang, Yali Zhang et al.
3 citations
Ecological Indicators
Remote Sensing and Land Use
1.13
article

Extraction and expansion evolution analysis of built-up areas based on multi-source data: A case study of Hefei City, Anhui province

Yuxuan Shui, Huan Liu, Yuliang Wang, Yali Zhang, Ni Wang, G. Yang
article en
3 citations

Abstract

• Enhanced built-up area extraction by integrating LST, NPP-VIIRS, and POI data. • Developed a model integrating corridor expansion to boost urban connectivity. • Revealed urban expansion dynamics, offering insights for future planning. Accurate extraction of urban built-up areas and understanding their expansion dynamics are crucial for urban planning and sustainable development. Traditional single-source remote sensing methods often have low accuracy in extraction. Our study addressed this limitation by integrating multi-source data, including Landsat land surface temperature (LST), NPP-VIIRS nighttime light data, and POI data. Through comparisons of mutation detection, reference comparison, and a multi-source comprehensive index method, we identified the most effective approach for urban built-up area extraction. Additionally, we developed an innovative spatial model based on morphological structural elements and introduced a new corridor expansion to supplement the traditional urban expansion patterns of edge, infilling, and outlying expansion. This new model enhanced the understanding of urban landscape connectivity and provided a more comprehensive analysis of urban growth processes. The results showed that the comprehensive index method produced the most accurate extraction, with overall accuracies exceeding 89% and Kappa coefficients above 0.80 across all years. The built-up area and expansion indicators displayed an increasing trend, with urban expansion extending northwest from 2013 to 2020 and then shifting southward from 2020 to 2023. The spatial pattern of urban sprawl was characterized by edge expansion, followed by corridor expansion (except between 2017 and 2020), with a trend toward increasing outlying types and fewer infilling expansions. These findings indicated that Hefei’s main urban area had reached a relatively mature stage, with built-up areas beginning to expand into surrounding towns; future efforts should focus on strengthening corridor expansion. This study filled a critical gap in accurately extracting built-up areas and analyzing spatial expansion, providing a scientific basis for urban land management, policy-making, and sustainable development.

Ecological IndicatorsVol. 169
Chuzhou University (CN)
Sustainable cities and communities
Openalex Percentile: Top 23%
Remote Sensing and Land Use
1.13
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.