A Spatio-Temporal Examination of Land Use and Land Cover Changes in Smart Cities of the Delhi–Mumbai Industrial Corridor

Arun Kanchan (), Vilas Nitivattananon, Nitin K. Tripathi, Ekbordin Winijkul and Ranadheer Reddy Mandadi
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Arun Kanchan: Urban Innovation and Sustainability, Asian Institute of Technology, Khlong Luang 12120, Thailand
Vilas Nitivattananon: Urban Innovation and Sustainability, Asian Institute of Technology, Khlong Luang 12120, Thailand
Nitin K. Tripathi: Remote Sensing and Geographic Information Systems, Asian Institute of Technology, Khlong Luang 12120, Thailand
Ekbordin Winijkul: Environmental Engineering and Management, Khlong Luang 12120, Thailand
Ranadheer Reddy Mandadi: Remote Sensing and Geographic Information Systems, Asian Institute of Technology, Khlong Luang 12120, Thailand

Land, 2024, vol. 13, issue 7, 1-30

Abstract: This study provides a detailed analysis of land use and land cover (LULC) changes at the district level within the Delhi–Mumbai Industrial Corridor (DMIC) from 2001 to 2021. Using the Indian Meteorological Department’s sub-divisional framework and MODIS data across seven primary LULC classes, the analysis is instrumental in informing infrastructure planning for existing and future smart cities and industrial clusters within the DMIC. The key findings reveal a yearly increase of 3031.40 sq. km. per year in agricultural land, with decreases in shrubland, grassland, and bareland of −1774.72 sq. km. per year, −1119.62 sq. km. per year, and −203.76 sq. km. per year, respectively. On the other hand, forests grew by a modest 148.14 sq. km. per year, while waterbodies and built-up lands saw minor increases of 55.73 sq. km. and 21.48 sq. km. per year. Ecologically Sensitive Areas (ESAs) were evaluated for LULC changes. The smart cities of Pune and Thane serve as excellent examples of balanced urban development and natural growth management. However, the study also highlights the need for further research to investigate LULC impacts on climatic variables, advocating for a regional planning approach in the DMIC.

Keywords: Delhi–Mumbai industrial corridor; land use and land cover; remote sensing; smart cities mission; Indian Meteorological Department (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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