Scholarlink

<p>Rapid urban expansion in peri-urban areas is reshaping land use patterns, increasing land surface temperatures, and degrading ecological functions, creating pressing challenges for sustainable urban planning. These transitional zones, where rural and urban processes intersect, are critical for climate resilience yet remain underexplored in many Indian cities, including Chandigarh. Despite growing recognition of urban heat island effects, limited research has addressed peri-urban delineation using multi-temporal geospatial methods tailored to the Indian context. This study aims to develop and apply a novel GIS-based approach integrating buffer zone analysis with spatial proximity to urban amenities for accurately mapping peri-urban areas in Chandigarh. Multi-temporal Landsat imagery from 2000 to 2023 was processed using ArcGIS 10.8, ERDAS Imagine, and MATLAB to extract and correlate land surface temperature (LST), normalized difference vegetation index (NDVI), and normalized difference built-up index (NDBI). The results reveal a 3–4&#xa0;°C increase in LST and a decline in NDVI from 0.62 to 0.42 across peri-urban zones, indicating rapid urbanization and loss of vegetation. Pearson correlation between LST and NDVI weakened from − 0.69 in 2000 to − 0.18 in 2023, while LST–NDBI correlation decreased from 0.78 to 0.61, suggesting fragmented green cover and reduced cooling capacity. These changes highlight the vulnerability of peri-urban ecosystems and the need for integrated green infrastructure in urban planning. The methodology offers a transferable framework for monitoring thermal and vegetation dynamics in fast-growing cities. Future research could apply this approach to other regions, integrating higher-resolution satellite data and machine learning to enhance predictive capacity for climate-resilient urban development.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Geospatial monitoring of peri-urban zones in Chandigarh through multi-year landsat imagery

  • 期刊论文

  • 发表日期：

    2025年9月1日

查看全文
  • Jyoti Saini,
  • Umesh Kumar,
  • Anil Kumar Gupta,
  • Parul Mishra,
  • Ratchagaraja Dhairiyasamy,
  • Deekshant Varshney,
  • Subhav Singh

摘要

Rapid urban expansion in peri-urban areas is reshaping land use patterns, increasing land surface temperatures, and degrading ecological functions, creating pressing challenges for sustainable urban planning. These transitional zones, where rural and urban processes intersect, are critical for climate resilience yet remain underexplored in many Indian cities, including Chandigarh. Despite growing recognition of urban heat island effects, limited research has addressed peri-urban delineation using multi-temporal geospatial methods tailored to the Indian context. This study aims to develop and apply a novel GIS-based approach integrating buffer zone analysis with spatial proximity to urban amenities for accurately mapping peri-urban areas in Chandigarh. Multi-temporal Landsat imagery from 2000 to 2023 was processed using ArcGIS 10.8, ERDAS Imagine, and MATLAB to extract and correlate land surface temperature (LST), normalized difference vegetation index (NDVI), and normalized difference built-up index (NDBI). The results reveal a 3–4 °C increase in LST and a decline in NDVI from 0.62 to 0.42 across peri-urban zones, indicating rapid urbanization and loss of vegetation. Pearson correlation between LST and NDVI weakened from − 0.69 in 2000 to − 0.18 in 2023, while LST–NDBI correlation decreased from 0.78 to 0.61, suggesting fragmented green cover and reduced cooling capacity. These changes highlight the vulnerability of peri-urban ecosystems and the need for integrated green infrastructure in urban planning. The methodology offers a transferable framework for monitoring thermal and vegetation dynamics in fast-growing cities. Future research could apply this approach to other regions, integrating higher-resolution satellite data and machine learning to enhance predictive capacity for climate-resilient urban development.