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Spatial clustering-based parametric change footprint pattern analysis in Landsat images

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Abstract

Spatial data represent the geomorphological phenomenon occurring on the earth’s surface. Several geological phenomena undergo changes over a period of time due to natural and man-made reasons. A footprint is defined as the spatial extent of any geomorphology, ecology or human activity at a particular instant of time. Change detection includes the study of change in footprint of a particular class. In this work, we proposed a footprint extraction method, footprint extraction using spatial neighbourhood based on spatial neighbourhood property. The proposed footprint extraction method proves to be highly effective than different state-of-the-art methods in terms of silhouette score value. An unsupervised change computation framework has also been proposed. The experiments are performed on five temporal Landsat 5 thematic mapper images of the Delhi region. Spatial polygons have been used to identify the spatial footprint of the predetermined class. Some non-spatial parameters like the size, the area, and percentage of area out of the total area of the targeted class have been used to study the extent of a predetermined class. The temporal change vector has been proposed to find the temporal change pattern in the observed concepts.

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Acknowledgements

This research has been partially supported by the University Grant Commission (India) and School of Computer and Systems Sciences (Jawaharlal Nehru University, India). We also extend our sincere thanks to Dr Prem Shankar Singh Aydav and Dr Nancy Girdhar for their valuable ideas, guidance and feedback in this work.

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Author notes

  1. Tanupriya Choudhury

    Present address: CSE Department, Graphic Era Deemed to be University, Dehradun, 248002, Uttarakhand, India

Authors and Affiliations

  1. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, 110067, India

    Aditya Raj & Sonajharia Minz

  2. CSE Department, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, India

    Tanupriya Choudhury

  3. CSE Department, Graphic Era Hill University, Dehradun, 248002, Uttarakhand, India

    Tanupriya Choudhury

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  1. Aditya Raj
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  2. Sonajharia Minz
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Correspondence to Aditya Raj.

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Editorial responsibility: Maryam Shabani.

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Raj, A., Minz, S. & Choudhury, T. Spatial clustering-based parametric change footprint pattern analysis in Landsat images. Int. J. Environ. Sci. Technol. 21, 5777–5794 (2024). https://doi.org/10.1007/s13762-023-05369-8

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  • DOI: https://doi.org/10.1007/s13762-023-05369-8

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